[ { "productId": "asana", "storyId": "agent-session-checkpoint-restore", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Asana is a work-management/project-tracking platform, not a coding agent or AI development tool with session/version-checkpoint history; the evidence pack shows task automation, AI Teammates, and API docs but nothing about coding agent sessions or checkpoint restoration. This axis is a category error for Asana's product type.", "evidenceIds": [] }, { "productId": "asana", "storyId": "agent-toolchain-autoprovisioning", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Asana is a work-management/project SaaS platform, not a coding agent or dev environment tool; auto-detecting and installing toolchains/dependencies for a coding task is outside its product category and not a fair axis to judge.", "evidenceIds": [] }, { "productId": "asana", "storyId": "agent-visual-regression-verification", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Asana is a project/task management platform with an API and AI Teammate features, not a browser-automation or UI-testing tool; the evidence pack contains nothing about screenshot capture, visual verification, or browser navigation, which is a category error for this product type rather than a missing capability.", "evidenceIds": [] }, { "productId": "asana", "storyId": "agentic-agent-docs", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "A probe confirms Asana serves a live llms.txt at developers.asana.com/llms.txt with markdown-append instructions for docs pages, directly enabling agent-native doc consumption, and this sits alongside a full REST API reference, OpenAPI spec repo, and API explorer. Missing for 10: independent/community confirmation of agents actually using llms.txt in practice, and a discoverable OpenAPI JSON endpoint (probe found 404s on standard paths, mitigated by the GitHub-hosted spec).", "evidenceIds": [ "asana-probe-1", "asana-docs-15", "asana-docs-16", "asana-supp-openapi-spec" ] }, { "productId": "asana", "storyId": "agentic-ai-insights", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana markets AI Teammates, AI Studio, and 'Asana Dash' as an AI Chief of Staff that surfaces insights and suggestions drawing on Work Graph context and shared memory, which directly matches the story. However, these are vendor claims only—there's no independent/hands-on evidence confirming quality or reliability of these AI-generated insights, and details on how proactive/contextual the suggestions are remain thin. Missing for 10: independent corroboration of AI insight quality, concrete examples of AI-generated suggestions in action, hands-on user reviews of Dash/AI Studio outputs.", "evidenceIds": [ "asana-docs-5", "asana-docs-6", "asana-docs-7", "asana-docs-8", "asana-docs-12", "asana-docs-13" ] }, { "productId": "asana", "storyId": "agentic-autonomous-automation", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Asana documents rule-based automations, webhooks, and 'AI Studio' for no-code autonomous workflows, plus 'AI Teammates' that run inside workflows with shared memory, scoped permissions, and audit trails — directly supporting background/autonomous automation. Missing for 10: independent/hands-on corroboration that these automations reliably run unattended in production, and more detail on triggers/scheduling beyond marketing copy.", "evidenceIds": [ "asana-docs-2", "asana-docs-5", "asana-docs-6", "asana-docs-7", "asana-docs-12", "asana-docs-13" ] }, { "productId": "asana", "storyId": "agentic-builtin-assistant", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Asana ships pre-built AI Teammates/agents (asana-docs-5,6,12,13) and Asana Dash described as an 'AI Chief of Staff' (asana-docs-8) that work within tasks/workflows with shared memory and governance, directly matching delegation of tasks to a built-in assistant. Missing for 10: independent hands-on reviews or third-party validation of AI Teammates actually performing delegated tasks, and detail on the scope/reliability of delegation beyond vendor marketing copy.", "evidenceIds": [ "asana-docs-5", "asana-docs-6", "asana-docs-8", "asana-docs-12", "asana-docs-13" ] }, { "productId": "asana", "storyId": "agentic-headless", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana exposes a token-authenticated REST API with webhooks and rule-based automation, enabling scripted/headless interactions suitable for CI-like automation (asana-docs-1, asana-docs-2, asana-docs-15, asana-docs-16, asana-docs-17). However, there is no explicit documentation of CI/CD integration, CLI tooling, or headless execution patterns tailored for automated pipelines. missing for 10: explicit CI/CD examples, dedicated CLI or headless runner, evidence of automated pipeline usage beyond generic API/webhook mentions.", "evidenceIds": [ "asana-docs-1", "asana-docs-2", "asana-docs-15", "asana-docs-16", "asana-docs-17" ] }, { "productId": "asana", "storyId": "agentic-mcp-client", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence confirms Asana publishes an official MCP server (asana-probe-3), meaning Asana exposes its own tools to other MCP clients — but the story asks the reverse: whether a user can plug external MCP servers into Asana so its AI (e.g., AI Teammates/AI Studio) can consume their tools. No evidence pack item describes Asana's AI agents acting as an MCP client or supporting configuration of external MCP servers as tool sources.", "evidenceIds": [ "asana-probe-3", "asana-docs-5", "asana-docs-6", "asana-docs-13" ] }, { "productId": "asana", "storyId": "agentic-mcp-server", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Asana documents an official MCP server at a dedicated docs page (asana-probe-3: developers.asana.com/docs/using-asanas-mcp-server), confirming a first-party MCP integration for connecting agents. Missing for 10: independent/hands-on community corroboration of the MCP server working in practice, and more detail on setup/auth scope beyond the docs link.", "evidenceIds": [ "asana-probe-3" ] }, { "productId": "asana", "storyId": "agentic-nl-commands", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana ships AI Teammates/AI Studio and a Chief-of-Staff style agent (Dash) described as operating with shared memory and governance, plus an MCP server enabling natural-language agent interaction, suggesting real natural-language control surfaces exist. However, there is no first-party documentation or hands-on evidence showing an end user issuing free-form natural-language commands directly in the core Asana UI to create/manage tasks; most 'AI-native' evidence is marketing copy without demonstrated workflows. missing for 10: hands-on demonstration or detailed docs of natural-language command execution in the main product UI, independent verification of Dash/AI Teammates handling arbitrary NL requests, and clarity on how MCP server maps to end-user NL commands versus developer/agent use.", "evidenceIds": [ "asana-docs-5", "asana-docs-6", "asana-docs-7", "asana-docs-8", "asana-docs-12", "asana-docs-13", "asana-probe-3" ] }, { "productId": "asana", "storyId": "agentic-official-cli", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Evidence shows Asana has a REST API, OpenAPI spec, and even an MCP server, but nothing mentions an official CLI tool for interacting with Asana. missing for 10: any documentation of an official Asana CLI, install instructions, or command reference.", "evidenceIds": [] }, { "productId": "asana", "storyId": "agentic-public-api", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Asana publishes a documented REST API with authentication, resource-oriented endpoints, an in-context API explorer, an official OpenAPI spec repo, a developer sandbox, and deprecation/versioning guidance — clearly enabling programmatic/agentic control of the product. Missing for 10: independent third-party hands-on verification of API robustness/reliability beyond vendor docs.", "evidenceIds": [ "asana-docs-1", "asana-docs-15", "asana-docs-16", "asana-docs-17", "asana-docs-18", "asana-docs-20", "asana-supp-openapi-spec" ] }, { "productId": "asana", "storyId": "agentic-scoped-keys", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Asana documents token-based API authorization (asana-docs-1) and describes AI Teammates having scoped permissions, identity, and audit trails governed centrally (asana-docs-13), suggesting some notion of least-privilege agent credentials. However, there is no concrete documentation of issuing scoped/limited-permission API tokens or OAuth scopes specifically for third-party agents, nor granular permission configuration UI/API for developer-issued credentials. missing for 10: explicit scoped OAuth/token permission model documentation, developer-facing controls to limit an API credential's access surface, and independent verification that agent credentials can be scoped rather than full-account access.", "evidenceIds": [ "asana-docs-1", "asana-docs-13", "asana-docs-15" ] }, { "productId": "asana", "storyId": "agentic-sdks", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack extensively documents Asana's REST API, OpenAPI spec, sandbox, and deprecation policy, but never mentions officially maintained client SDKs (e.g., Python/Node/Java libraries) for developers to build against. Missing for 10: any documentation or reference to first-party SDK packages, language coverage, or SDK versioning/support.", "evidenceIds": [ "asana-docs-15", "asana-docs-20", "asana-supp-openapi-spec", "asana-probe-2" ] }, { "productId": "asana", "storyId": "agentic-webhooks", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Asana's platform docs explicitly list webhooks alongside rules and API as a core automation mechanism, allowing external systems (including AI agents) to subscribe to Asana events. missing for 10: no dedicated webhook payload/signature-verification docs or independent hands-on confirmation of webhook reliability in the pack.", "evidenceIds": [ "asana-docs-2", "asana-docs-15", "asana-docs-9" ] }, { "productId": "asana", "storyId": "ai-answer-with-citations", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Asana markets 'Asana Dash — Your AI Chief of Staff' and AI Teammates that draw context from the Work Graph and shared memory, suggesting an in-workspace Q&A assistant, but no evidence describes citation of specific workspace items in answers or an 'ask a question, get instant answer with citations' UX. Missing for 10: explicit documentation of citation/sourcing behavior in AI answers, hands-on or independent verification of accuracy/citations.", "evidenceIds": [ "asana-docs-8", "asana-docs-5", "asana-docs-12", "asana-docs-13" ] }, { "productId": "asana", "storyId": "ai-auto-draft-updates", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Asana markets AI Teammates and 'Asana Dash - Your AI Chief of Staff' plus AI Studio automations that could plausibly draft updates from activity, and a developer tutorial exists for generating reports of status updates, but no evidence explicitly confirms an AI feature that drafts a project/initiative status update from recent activity. Missing for 10: a concrete first-party doc or demo showing AI-generated status update drafting, and independent/community confirmation it works as described.", "evidenceIds": [ "asana-docs-8", "asana-docs-6", "asana-docs-7", "asana-docs-9" ] }, { "productId": "asana", "storyId": "ai-auto-triage-bugs", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Asana offers rule-based automation, webhooks/API, AI Studio no-code automations, and AI Teammates described as handling 'complex, coordination-heavy work' with shared memory and governance — these are generic building blocks that could be configured to triage/prioritize tasks, but no evidence explicitly documents a bug-triage or prioritization use case or template. Missing for 10: a concrete documented workflow or template showing AI classifying/prioritizing incoming bugs or tasks, independent/hands-on validation of such a workflow.", "evidenceIds": [ "asana-docs-2", "asana-docs-5", "asana-docs-6", "asana-docs-7", "asana-docs-12", "asana-docs-13" ] }, { "productId": "asana", "storyId": "ai-guided-code-review-explanations", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Asana is a work-management/project-tracking platform, not a code review or diff-analysis tool; breaking down code diffs with explanations is entirely outside its product category.", "evidenceIds": [] }, { "productId": "asana", "storyId": "ai-personalized-assistant", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Asana's AI Teammates feature claims 'shared memory' where 'every piece of feedback, every preference gets carried forward,' which loosely maps to personalization, but there's no specific evidence of learning tone, shorthand, or writing style, nor any hands-on validation of this personalization actually working. missing for 10: evidence of tone/style/shorthand learning specifically, first-party detail on how preference adaptation works mechanically, and independent corroboration that AI output actually reflects user's individual style.", "evidenceIds": [ "asana-docs-12", "asana-docs-5", "asana-docs-6" ] }, { "productId": "asana", "storyId": "api-interactive-docs", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Asana's developer docs explicitly state each API endpoint has a built-in, in-context API explorer for making requests and viewing responses (asana-docs-16), backed by a RESTful reference (asana-docs-15) and an official OpenAPI spec repo (asana-supp-openapi-spec, asana-docs-20), plus a developer sandbox for safe testing (asana-docs-17). Missing for 10: independent/hands-on confirmation of the explorer's runnable examples in practice, and a working public openapi.json endpoint (probe found 404s at standard paths).", "evidenceIds": [ "asana-docs-15", "asana-docs-16", "asana-docs-17", "asana-supp-openapi-spec", "asana-docs-20" ] }, { "productId": "asana", "storyId": "api-machine-spec", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Asana publishes an official OpenAPI specification (asana_oas.yaml plus app-components spec) in the Asana/openapi GitHub repo, which is machine-readable and downloadable, and the REST API docs corroborate a resource-oriented JSON API with in-context explorer built from this spec. Missing for 10: a directly hosted openapi.json/swagger.json endpoint on developers.asana.com (probe found 404s at expected discovery URLs), so users must know to fetch it from GitHub rather than a standard API-discovery path.", "evidenceIds": [ "asana-supp-openapi-spec", "asana-docs-20", "asana-docs-15", "asana-docs-16", "asana-probe-2" ] }, { "productId": "asana", "storyId": "api-sandbox", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Asana explicitly documents a developer sandbox — a temporary Asana domain with limited users — for testing purposes, plus feature-flag headers to test upcoming API behavior before it goes live, directly supporting isolated testing without touching production data. missing for 10: independent/hands-on confirmation of sandbox fidelity and any limits (e.g., data reset, scale) that might affect real-world AI-agent testing workflows.", "evidenceIds": [ "asana-docs-17", "asana-docs-19", "asana-supp-deprecations" ] }, { "productId": "asana", "storyId": "api-versioning-policy", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Asana documents a formal deprecation process with Asana-Change headers, Asana-Enable headers for opt-in testing, migration plans, and a deprecation period, plus a public OpenAPI spec repo and REST reference with an interactive explorer, indicating a mature versioned/documented API lifecycle. Missing for 10: independent third-party corroboration of deprecation policy adherence over time and explicit API version numbering scheme details.", "evidenceIds": [ "asana-docs-18", "asana-docs-19", "asana-supp-deprecations", "asana-docs-15", "asana-docs-20", "asana-supp-openapi-spec", "asana-docs-16" ] }, { "productId": "asana", "storyId": "audit-log-admin-controls", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence only mentions an audit trail scoped to AI Teammate/agent actions (asana-docs-13), not a workspace-wide admin audit log of user actions that a product manager could review for security purposes; no docs on an Admin Console audit log feature are present.", "evidenceIds": [ "asana-docs-13" ] }, { "productId": "asana", "storyId": "auto-generate-release-changelogs", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Asana is a project/task management tool, not a code repository or CI/CD system; nothing in the evidence shows any feature for generating release changelogs from commits, PRs, or version tags. While Asana has APIs, rules, and automation features, none are documented as producing changelogs tied to releases.", "evidenceIds": [] }, { "productId": "asana", "storyId": "automation-bulk-operations", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence describes single-task creation via the API, rule-based automation, webhooks, and AI Studio workflows, but nowhere mentions a bulk/batch endpoint or the ability to update many items in one call as an AI-native user. Missing for 10: explicit bulk/batch API operations, multi-item update endpoints, or documented bulk action support.", "evidenceIds": [] }, { "productId": "asana", "storyId": "automation-rules-engine", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Asana's native Rules engine plus 'rule actions, webhooks, and API' explicitly supports trigger-based automation on events, and AI Studio adds no-code automations layered on top, with app components allowing custom logic to plug into rules. Missing for 10: independent hands-on verification of AI-native rule-building via API/agent, and detail on the range of triggerable events/conditions.", "evidenceIds": [ "asana-docs-2", "asana-docs-3", "asana-docs-7", "asana-docs-10" ] }, { "productId": "asana", "storyId": "automation-scheduled-jobs", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Asana's platform docs show general automation via rules, webhooks, API, and AI Studio's no-code automations, which could support recurring workflows, but no evidence explicitly describes scheduling or recurring job triggers (e.g., time-based rule triggers). Missing for 10: explicit documentation of recurring/scheduled triggers, cron-like automation, or examples of automating tasks on a recurring schedule.", "evidenceIds": [ "asana-docs-2", "asana-docs-7", "asana-docs-3" ] }, { "productId": "asana", "storyId": "automation-versioned-workflows", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence of version history, review workflows, or rollback capability for Asana rules/automations or AI Studio workflows; docs cover API deprecation headers and app components, not automation versioning/rollback. missing for 10: version history UI for rules/automations, diff/review workflow before publishing changes, rollback/restore to prior automation version.", "evidenceIds": [ "asana-docs-2", "asana-docs-7", "asana-supp-deprecations" ] }, { "productId": "asana", "storyId": "code-repo-issue-sync", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence only shows generic Asana API/webhook/app-directory capabilities (e.g., asana-docs-2, asana-docs-11) that could be used to build custom sync, but there is no documentation of a specific, ready-made bi-directional sync with a code repository issue tracker (e.g., GitHub/GitLab/Jira issues) that avoids data duplication. Without a named integration or sync workflow for this exact use case, this remains unevidenced.", "evidenceIds": [ "asana-docs-2", "asana-docs-11", "asana-docs-15" ] }, { "productId": "asana", "storyId": "cross-platform-context-handoff", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana documents shared memory across AI Teammates so context 'carried forward' between agents, governance/permissions for agent handoff, and cross-tool integration via API, webhooks, app components, and an official MCP server enabling handoff to external agents/tools. However, all of this is vendor-documented with no independent or hands-on verification that context is actually preserved end-to-end across tool/agent handoffs. Missing for 10: independent/hands-on corroboration of lossless handoff, concrete example of an agent-to-agent or tool-to-tool handoff preserving full context, and clarity on how MCP server handles context transfer in practice.", "evidenceIds": [ "asana-docs-5", "asana-docs-12", "asana-docs-13", "asana-docs-9", "asana-docs-11", "asana-probe-3" ] }, { "productId": "asana", "storyId": "cross-team-dependency-tracking", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of Asana's dependency-tracking, portfolios, or cross-team coordination features (e.g., task dependencies, portfolio views) that would support this story; documentation cited focuses on API access, integrations, and AI Teammates rather than planning/tracking capabilities like dependency management.", "evidenceIds": [] }, { "productId": "asana", "storyId": "cross-tool-task-aggregation", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Asana's API/integrations let other apps create Asana tasks or embed components, but there is no evidence of a unified view that aggregates an engineer's assigned tasks from multiple different project-management tools (e.g., Jira, Trello) inside Asana itself. Missing for 10: any documentation of a cross-tool task aggregation/unified inbox feature, evidence of pulling in tasks from other PM tools, or a 'My Tasks' view spanning external systems.", "evidenceIds": [ "asana-docs-11", "asana-docs-3", "asana-docs-14" ] }, { "productId": "asana", "storyId": "custom-agent-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana markets 'AI Studio' for no-code agent automations and 'custom AI Teammates' built from team expertise, with governance and shared memory features (asana-docs-6,7,12,13), indicating a self-service agent-building capability. However, all evidence is first-party marketing copy with no tutorial, screenshots, or independent hands-on account of actually configuring an agent end-to-end.\nmissing for 10: independent/hands-on verification of building a custom agent, detailed step-by-step configuration docs, community confirmation of the feature working as advertised.", "evidenceIds": [ "asana-docs-6", "asana-docs-7", "asana-docs-12", "asana-docs-13" ] }, { "productId": "asana", "storyId": "custom-dashboard-widgets", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Asana's developer docs describe 'app components' that let third-party apps plug directly into the Asana UI on the surface of tasks or rules, which supports building native-feeling integrations, but the story's specific asks—custom views and dashboard widgets—are not evidenced; only task/rule surface extensions are documented, with no dedicated widget/dashboard SDK or design guidelines mentioned. Missing for 10: explicit dashboard widget support, custom view builder APIs, design system/UI kit guidance, and independent/hands-on confirmation from designers building such components.", "evidenceIds": [ "asana-docs-3", "asana-docs-10", "asana-docs-14" ] }, { "productId": "asana", "storyId": "custom-fields-workflows", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains only API/developer-platform docs, AI teammate features, and community sentiment about UI/performance — none of it addresses custom fields or configurable workflow statuses, which is the actual subject of this story. Although this is a fair and expected capability for a work-management product like Asana, no evidence in the pack demonstrates it.", "evidenceIds": [] }, { "productId": "asana", "storyId": "dashboard-reporting", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "The evidence pack only shows API-level access to status updates for building custom reporting apps (asana-docs-4, asana-docs-9), not any native dashboard/widget-building UI for PMs to visualize project progress. Missing for 10: documentation of Asana's built-in Reporting/Dashboards or Portfolio charting features, native widget customization, and any hands-on evidence of PMs actually building such dashboards.", "evidenceIds": [ "asana-docs-4", "asana-docs-9" ] }, { "productId": "asana", "storyId": "design-tool-sync", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Asana's API, webhooks, and App Directory (asana-docs-2, asana-docs-11) allow third-party apps to create/update tasks and status without leaving another tool, and app components let external apps surface inside the Asana UI (asana-docs-3/10/14), which is the general mechanism such a design-tool integration would use. However, there is no evidence of an actual Figma/Sketch/Adobe-type design tool integration or of status updates flowing specifically from a design tool into Asana project status. missing for 10: a named design-tool integration (e.g., Figma plugin) syncing project status, and any hands-on/community confirmation it works.", "evidenceIds": [ "asana-docs-2", "asana-docs-11", "asana-docs-3", "asana-docs-10" ] }, { "productId": "asana", "storyId": "full-history-export-fidelity", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item addresses workspace export functionality, let alone preservation of comments, attachments, or audit trails during export; docs focus on API, automation, and AI Teammates instead.", "evidenceIds": [] }, { "productId": "asana", "storyId": "granular-permission-roles", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation of Asana's actual user-level permission/role system (e.g., project privacy settings, member roles, task-level view/edit controls). The closest mention (asana-docs-13) is about governance of AI Teammates/agents, not human-user granular permissions, so it does not substantiate this story. Missing for 10: docs on project/task privacy settings, member role definitions (admin/editor/viewer), and any independent confirmation these controls work as described.", "evidenceIds": [ "asana-docs-13" ] }, { "productId": "asana", "storyId": "guided-first-time-setup", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack covers Asana's developer API, OpenAPI specs, MCP server, and general community sentiment about product quality, but contains no mention of a guided onboarding walkthrough or setup wizard for new workspace users. Missing for 10: any documentation of an in-app guided setup flow, first-run wizard, or onboarding checklist for engineers configuring a new Asana workspace.", "evidenceIds": [] }, { "productId": "asana", "storyId": "import-from-other-tools", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence describes an import/migration feature for bringing data from other tools (e.g., CSV import, Trello/Jira migration wizards); the pack only covers API access, app directory integrations, and AI teammates, none of which constitute a documented data-import capability for onboarding.", "evidenceIds": [] }, { "productId": "asana", "storyId": "in-app-team-chat", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Asana's evidence pack covers task management, APIs, automations, and AI teammates, but nothing documents an in-app real-time chat/messaging feature for team communication; the closest mention (asana-comm-5) is a vague anecdote about using task comments instead of Slack, not a documented chat capability.", "evidenceIds": [ "asana-comm-5" ] }, { "productId": "asana", "storyId": "initiative-status-tracking", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of Asana's Portfolios/Goals features, custom fields for status or priority, or team ownership assignment for initiatives — it is entirely focused on the developer API, AI Teammates/agents, and general community sentiment. Without evidence of initiative-level tracking with status, priority, and owning team, this capability cannot be credited.", "evidenceIds": [] }, { "productId": "asana", "storyId": "inline-comments-on-content", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains only API/developer platform docs and general community sentiment; nothing describes inline commenting on specific text or images within a task/item description. Missing for 10: any documentation or hands-on evidence of annotation/inline commenting features on description text or embedded images.", "evidenceIds": [] }, { "productId": "asana", "storyId": "interface-rate-limit-disclosure", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers Asana's REST API, OpenAPI spec, deprecation policy, and developer sandbox, but nothing addresses documented rate limits or concurrency caps for API usage. Since no citation speaks to this specific axis, it cannot be credited even though it's a fair question for an API platform.", "evidenceIds": [] }, { "productId": "asana", "storyId": "large-workspace-performance-limits", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No vendor documentation addresses item caps, workspace size limits, or performance characteristics at scale (tens of thousands of tasks); the evidence pack only contains generic API/AI-feature docs and anecdotal community complaints about poor performance (e.g., 'worst performing web app', suspected O(n^2) algorithms) with no concrete data or documented limits. This is an applicable engineering concern for a task-tracking tool, but no first-party or independent source quantifies scaling behavior or caps.", "evidenceIds": [ "asana-comm-7", "asana-comm-8" ] }, { "productId": "asana", "storyId": "mobile-app-parity", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack contains no mentions of a native mobile app, mobile feature parity, or any mobile-specific capability—only API, developer platform, AI features, and general community sentiment about the web app's performance. Absence of evidence for this applicable axis (mobile apps are a plausible feature for a task/project management SaaS) means 'none'.", "evidenceIds": [] }, { "productId": "asana", "storyId": "mobile-code-review-with-agent", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Asana is a work-management/task platform, not a code review or coding-agent tool; it has no concept of reviewing AI-generated code diffs or line-level code comments, so this code-review-from-mobile axis is a category error for this product type.", "evidenceIds": [] }, { "productId": "asana", "storyId": "multiple-project-views", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of Asana's board, list, calendar, or timeline views or any ability to switch between them—only API/developer platform docs and general community sentiment about the product. This is a fair axis for a work-management tool, but no evidence supports it here.", "evidenceIds": [] }, { "productId": "asana", "storyId": "native-integration-hub", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Asana's docs mention a broader integration ecosystem (App Directory apps, app components that 'plug directly into Asana UI', APIs/webhooks for building integrations), implying that tools can connect natively, but no evidence explicitly names Slack, GitHub, or Google Drive as first-party native integrations. Missing for 10: explicit documentation of native Slack/GitHub/Google Drive connectors, hands-on confirmation of their functionality, and any independent corroboration of these specific integrations working out-of-the-box.", "evidenceIds": [ "asana-docs-3", "asana-docs-10", "asana-docs-11", "asana-docs-14" ] }, { "productId": "asana", "storyId": "no-code-automation-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana explicitly markets 'AI Studio – Powerful no-code automations' and references 'rule actions' as part of its automation platform, directly supporting a PM building multi-step automations without code. However, the evidence pack lacks deeper documentation (e.g., a rules builder walkthrough, examples of multi-step conditional logic, or independent hands-on validation) beyond marketing taglines. missing for 10: detailed no-code rule-builder documentation/tutorial, independent user validation of multi-step automation building.", "evidenceIds": [ "asana-docs-7", "asana-docs-2", "asana-docs-3" ] }, { "productId": "asana", "storyId": "openness-api-parity", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana's REST API is comprehensive and well-documented (CRUD on tasks, projects, webhooks, app components, OpenAPI spec, sandbox, explorer), covering most core workflow actions available in the UI. However there's no evidence that newer AI-native surfaces (AI Studio, AI Teammates/Dash) or all UI-specific features are fully exposed via the same API, so full UI/API parity isn't demonstrated. missing for 10: explicit confirmation that AI Studio/Teammates features and all UI settings/admin controls are API-accessible, independent verification of full parity.", "evidenceIds": [ "asana-docs-1", "asana-docs-2", "asana-docs-15", "asana-docs-16", "asana-docs-17", "asana-docs-20", "asana-docs-3", "asana-docs-7", "asana-docs-8" ] }, { "productId": "asana", "storyId": "openness-full-export", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Asana's REST API returns JSON, an open format, so data could in principle be pulled out via API calls (asana-docs-15), and OpenAPI specs are published for structured access (asana-supp-openapi-spec). However, there is no documented dedicated bulk-export/full-account-export feature, no CSV/backup tool, and no explicit data-portability policy in the evidence pack. Missing for 10: a documented full-data export/backup mechanism, guarantees of completeness, and independent confirmation that users can fully migrate away using this API.", "evidenceIds": [ "asana-docs-15", "asana-supp-openapi-spec", "asana-docs-20" ] }, { "productId": "asana", "storyId": "openness-open-license", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Asana is a closed, proprietary SaaS product; the only public repo referenced (Asana/openapi) contains API specification files, not the product's actual source code, and no evidence indicates any open-license release of Asana's codebase.", "evidenceIds": [ "asana-supp-openapi-spec", "asana-docs-20" ] }, { "productId": "asana", "storyId": "openness-self-host", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Asana is a cloud-only SaaS project-management platform; there is no evidence of, or plausible category expectation for, a self-hostable core product. Self-hosting is a category error for this type of hosted SaaS tool.", "evidenceIds": [] }, { "productId": "asana", "storyId": "portfolio-progress-rollup", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation or references to Asana's Portfolios feature, cross-project rollups, or multi-project dashboards — only API/developer docs, AI teammate marketing, and unrelated community sentiment. Missing for 10: any docs-1 or product page describing portfolio creation, progress rollup, or multi-project status aggregation.", "evidenceIds": [] }, { "productId": "asana", "storyId": "prebuilt-project-templates", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no mention of Asana's project templates or template galleries for jumpstarting new projects; all docs entries focus on API, integrations, and AI Teammates. missing for 10: any documentation or community evidence of pre-built project templates, template gallery, or template creation workflow.", "evidenceIds": [] }, { "productId": "asana", "storyId": "privacy-data-residency", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack discusses data residency, regional storage options, or data locality controls for Asana; the pack covers API/dev tooling and AI Teammates features only. missing for 10: any mention of region selection, data residency policy, or geographic storage controls.", "evidenceIds": [] }, { "productId": "asana", "storyId": "privacy-no-training", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item addresses AI training data opt-out, data usage policies for AI/ML model training, or any privacy controls specific to preventing data use in training. Evidence covers API docs, AI Teammates features, and general community sentiment, none of which touches this axis. Missing for 10: explicit documentation of an AI-training opt-out/opt-in setting, data processing terms addressing model training, and any admin control to restrict data use for AI training.", "evidenceIds": [] }, { "productId": "asana", "storyId": "privacy-retention-controls", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence pack items address data retention policies, deletion controls, or data lifecycle management for AI features/agents; only general API, developer sandbox, and AI Teammate governance mentions (audit trail, permissions) are present, none of which describe retention/deletion controls.", "evidenceIds": [] }, { "productId": "asana", "storyId": "privacy-telemetry-optout", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention telemetry, usage tracking, opt-out settings, or privacy controls for AI features; the pack covers API/developer docs and general community sentiment only.", "evidenceIds": [] }, { "productId": "asana", "storyId": "private-restricted-teams", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses Asana's team/sub-team structures, privacy settings, or member restrictions; all documentation focuses on API, developer tools, and AI features. This is an applicable axis for a work-management tool but is unevidenced here.", "evidenceIds": [] }, { "productId": "asana", "storyId": "public-status-page-uptime-sla", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item mentions an SLA, uptime guarantee, or a public status page with real-time incident reporting; all developer docs focus on API usage, deprecations, and app components rather than platform reliability commitments.", "evidenceIds": [] }, { "productId": "asana", "storyId": "realtime-collaborative-updates", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of real-time UI sync, live presence, or websocket-based updates in Asana's interface — only API/webhook automation, developer sandbox, and AI Teammate features, none of which address instant cross-session UI updates for engineers viewing shared work.", "evidenceIds": [] }, { "productId": "asana", "storyId": "rule-based-automation-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Evidence confirms Asana has a rule-based automation surface (\"rule actions\", app components built on the surface of \"rules\", and AI Studio's no-code automations) that lets engineers/users automate repetitive steps, and the API/webhooks can be combined with rules for custom triggers. However, the pack lacks first-party documentation detailing the actual trigger types, conditions, or multi-step rule builder UI, so the story is only partially evidenced. Missing for 10: dedicated Rules-builder documentation showing trigger/condition/action configuration, and independent/hands-on confirmation of building such rules.", "evidenceIds": [ "asana-docs-2", "asana-docs-3", "asana-docs-10", "asana-docs-14", "asana-docs-7" ] }, { "productId": "asana", "storyId": "saved-filtered-views", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses saved/filtered views, custom fields/search filters, or shareable links to such views in Asana; the evidence is entirely about API, AI teammates, and general sentiment.", "evidenceIds": [] }, { "productId": "asana", "storyId": "scheduled-recurring-workflows", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Asana's docs reference rule-based automation ('rule actions, webhooks, and our API') and AI Studio's 'no-code automations,' suggesting engineers can build workflow automations, but no evidence explicitly documents a schedule/time-based or recurring-event trigger mechanism for these workflows. Missing for 10: explicit documentation of scheduled/cron-like or recurring-event triggers in Rules or AI Studio, and any hands-on/independent confirmation that such scheduled automations work reliably.", "evidenceIds": [ "asana-docs-2", "asana-docs-7", "asana-docs-11" ] }, { "productId": "asana", "storyId": "seat-minimum-billing-policy", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses Asana's pricing plans, minimum seat requirements, or annual billing commitments; all evidence concerns API/developer docs and general community sentiment.", "evidenceIds": [] }, { "productId": "asana", "storyId": "shared-docs-knowledge-base", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence in the pack shows a native Asana docs/notes feature for organizing shared documentation alongside project work; the docs and community items focus on tasks, API/dev platform, and AI Teammates, not a wiki/notes capability. One community comment even suggests a competing tool being compared lacks 'free form notes and wiki' relative to Asana/Trello, but nothing confirms Asana itself ships a shared-doc feature.", "evidenceIds": [ "asana-comm-1" ] }, { "productId": "asana", "storyId": "signed-commits-for-agent-sessions", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Asana is a work management/project tracking platform, not a code repository or commit-signing tool; requiring cryptographic signing of AI-authored commits is a source-control axis entirely outside Asana's product category.", "evidenceIds": [] }, { "productId": "asana", "storyId": "sprint-planning", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of sprint boards, backlogs, story points, or agile/scrum-specific features in Asana; it focuses on API/developer platform capabilities and AI agent features. Community comments only compare Asana's general UI to Jira without confirming sprint-planning functionality, and some users note Asana lacks features that PMs/engineers need versus Jira for dev workflows.", "evidenceIds": [ "asana-comm-2", "asana-comm-3", "asana-comm-6" ] }, { "productId": "asana", "storyId": "sso-saml-login", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no documentation or claims about Asana supporting SSO or SAML for organization access; all docs are about the API, integrations, and AI features. The only tangential mention (asana-comm-4) discusses a competitor's free Azure AD SSO, not Asana's own SSO/SAML capability, and does not confirm Asana ships this feature.", "evidenceIds": [] }, { "productId": "asana", "storyId": "support-response-time-by-tier", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack references support response times, SLAs, or plan-tier support commitments; all documentation relates to API, integrations, and AI features.", "evidenceIds": [] }, { "productId": "asana", "storyId": "task-creation-assignment", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Docs confirm Asana supports creating tasks via UI/API (asana-docs-1, asana-docs-11, asana-docs-15) and that third-party apps can create tasks and kick off workflows, but the evidence pack never explicitly documents the assignee or due-date fields on a task object. Missing for 10: explicit documentation of assignee and due-date task fields, and independent hands-on confirmation of assigning tasks with due dates.", "evidenceIds": [ "asana-docs-1", "asana-docs-11", "asana-docs-15" ] }, { "productId": "asana", "storyId": "task-dependencies-subtasks", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no documentation or community evidence describing Asana's subtask creation or task dependency/blocking-order features—it is entirely focused on API/developer platform capabilities, AI teammates, and unrelated community sentiment about UI/performance/Jira comparisons. Absence of evidence for this applicable, mainstream planning capability yields 'none'.", "evidenceIds": [] }, { "productId": "asana", "storyId": "third-party-app-marketplace", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Asana docs confirm an 'App Directory' with many third-party apps that create tasks and kick off workflows, plus a public REST API, webhooks, and app components for building custom integrations, which together support a marketplace-style ecosystem. However, no evidence quantifies the marketplace size ('thousands of tools') or shows a browsable marketplace UI/listing, and no independent/community source corroborates breadth of integrations. missing for 10: concrete count/scale of App Directory listings, independent hands-on evidence of marketplace breadth, and marketplace browsing/install UX documentation.", "evidenceIds": [ "asana-docs-11", "asana-docs-2", "asana-docs-3", "asana-docs-15" ] }, { "productId": "asana", "storyId": "time-tracking", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of time-tracking or time-logging features against tasks/projects in Asana; it covers API, automation, AI teammates, and app components, none of which address engineer time logging.", "evidenceIds": [] }, { "productId": "asana", "storyId": "unified-workspace-search", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no mention of Asana's search feature across tasks, docs, and comments, nor any data on search speed or accuracy; it only covers API access, automations, AI teammates, and general product sentiment unrelated to search. This is a fair axis for a planning/tracking tool, but no supporting evidence exists.", "evidenceIds": [] }, { "productId": "asana", "storyId": "visual-whiteboard-collaboration", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack of any whiteboard or visual collaboration canvas feature in Asana; documentation only covers API, automation, AI teammates, and app components. Missing for 10: any whiteboard/canvas feature, real-time visual co-editing, design collaboration tools.", "evidenceIds": [] }, { "productId": "asana", "storyId": "workflow-run-overage-fees", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence describes rate limits, throttling behavior, overage charges, or hard stops for exceeding automation/API quotas; docs cover deprecations, sandbox, and API basics but not usage limits or their consequences.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "agent-session-checkpoint-restore", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence of session checkpointing or version history restore for AI agents; ClickUp offers agents (Codegen, Triage) and MCP tools but nothing about rolling back an agent's session state to a prior checkpoint.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "agent-toolchain-autoprovisioning", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "ClickUp is a work-management/productivity platform with AI agents for task automation (e.g., a 'Codegen Agent' that writes code), but it is not a coding-agent execution environment with a sandbox that installs toolchains or dependencies. This capability (auto-detecting and installing build toolchains/dependencies) is a category error for ClickUp's product type.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "agent-visual-regression-verification", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows ClickUp Brain² and agent features (Codegen Agent, Triage Agent, custom agents) but nothing about an agent navigating the app UI or capturing before/after screenshots to verify its own implementation. No visual verification or screenshot-capture capability is documented anywhere in the pack.", "evidenceIds": [ "clickup-docs-5", "clickup-docs-6", "clickup-docs-18", "clickup-docs-19" ] }, { "productId": "clickup", "storyId": "agentic-agent-docs", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "A live probe confirms developer.clickup.com/llms.txt returns HTTP 200 with structured documentation content, and ClickUp also publishes agent-oriented docs (MCP server setup, tool list) explicitly designed for AI assistants to consume. This directly satisfies the story of pointing an agent at llms.txt or agent-facing docs. Missing for 10: independent third-party confirmation that an agent successfully ingests/uses the llms.txt file in practice.", "evidenceIds": [ "clickup-probe-1", "clickup-docs-36", "clickup-docs-37", "clickup-docs-38" ] }, { "productId": "clickup", "storyId": "agentic-ai-insights", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp's Brain² is explicitly marketed to surface AI-generated insights and answers from workspace data, docs, tasks, and connected apps (Drive, GitHub, Salesforce), and third-party integrations (e.g., ChatGPT) extend this to give AI-powered insights about tasks/projects/conversations. Missing for 10: independent/hands-on corroboration that Brain² insights are accurate or reliable in practice, and detail on insight quality beyond vendor marketing copy.", "evidenceIds": [ "clickup-docs-7", "clickup-docs-8", "clickup-docs-9", "clickup-docs-10", "clickup-docs-20", "clickup-docs-21", "clickup-intdir-13" ] }, { "productId": "clickup", "storyId": "agentic-autonomous-automation", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "ClickUp documents native Automations, event-triggered workflows, and 'Super Agent' capabilities that work 24/7 with background task delegation, plus custom agent building — directly supporting autonomous background automation. However, evidence is entirely first-party marketing/docs with no independent or hands-on confirmation that these automations reliably run unattended, and general community sentiment raises broader reliability concerns (though not a concrete contradiction of automation functionality specifically). Missing for 10: independent verification of automation reliability/uptime, technical detail on automation triggers/conditions beyond marketing copy.", "evidenceIds": [ "clickup-docs-5", "clickup-docs-14", "clickup-docs-3", "clickup-docs-6", "clickup-docs-20" ] }, { "productId": "clickup", "storyId": "agentic-builtin-assistant", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp explicitly markets a built-in AI assistant ('Brain²'/'Super Agent') that can be delegated tasks, works 24/7, has infinite memory, and includes prebuilt agents like Codegen and Triage plus the ability to build custom agents. This directly matches the story of delegating tasks to an in-product AI assistant. Missing for 10: independent/hands-on verification that delegation actually works reliably (community evidence is general sentiment on ClickUp quality, not specific to the AI assistant) and more detail on limits of autonomous task execution.", "evidenceIds": [ "clickup-docs-5", "clickup-docs-6", "clickup-docs-7", "clickup-docs-9", "clickup-docs-18", "clickup-docs-19", "clickup-docs-20" ] }, { "productId": "clickup", "storyId": "agentic-headless", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "ClickUp exposes a full REST API with personal API tokens and OAuth2 for programmatic, headless task/list/comment management, plus webhook-triggered automations, all of which can be scripted from CI pipelines without any UI. However, there is no documented CI/CD integration, official CLI, or GitHub Action, and the OpenAPI spec endpoint itself 404s in the probe, suggesting automation is possible but not purpose-built for CI workflows. Missing for 10: explicit CI/CD or pipeline integration guide, official CLI/GitHub Action, and independent confirmation of headless use in automated pipelines.", "evidenceIds": [ "clickup-docs-25", "clickup-docs-26", "clickup-docs-28", "clickup-docs-3", "clickup-docs-14", "clickup-probe-2" ] }, { "productId": "clickup", "storyId": "agentic-mcp-client", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "All MCP-related evidence describes ClickUp exposing its own MCP server so external AI assistants (e.g., Claude) can call ClickUp's tools (clickup-docs-2, clickup-docs-36–40, clickup-probe-3) — the opposite direction from the story, which asks whether a user can plug external MCP servers into ClickUp so ClickUp's own AI (Brain²/agents) can use their tools. No evidence shows ClickUp acting as an MCP client or consuming third-party MCP servers. Missing for 10: any documentation of ClickUp's Brain²/agents connecting to or invoking external MCP servers as a client.", "evidenceIds": [ "clickup-docs-2", "clickup-docs-36", "clickup-docs-37", "clickup-docs-38", "clickup-probe-3" ] }, { "productId": "clickup", "storyId": "agentic-mcp-server", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "ClickUp documents an official MCP server with setup guides (including Claude integration) and a documented set of MCP tools (search, time tracking, reporting), confirmed by both docs and an independent probe. Missing for 10: independent hands-on user reports of connecting an agent via this MCP server and broader third-party client compatibility beyond Claude.", "evidenceIds": [ "clickup-docs-36", "clickup-docs-37", "clickup-docs-38", "clickup-docs-39", "clickup-docs-40", "clickup-probe-3" ] }, { "productId": "clickup", "storyId": "agentic-nl-commands", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "ClickUp's Brain² assistant and documented MCP server explicitly let users query, create, and manage tasks, docs, and workflows via natural language (e.g., 'lets external AI agents interact with ClickUp Workspace data...using natural language', 'Ask something complex' answered from workspace context). First-party docs also list concrete NL-driven MCP tools like search, time tracking, and report generation. Missing for 10: independent/hands-on verification of natural-language command reliability and breadth beyond vendor claims.", "evidenceIds": [ "clickup-docs-36", "clickup-docs-38", "clickup-docs-39", "clickup-docs-40", "clickup-docs-9", "clickup-docs-20", "clickup-probe-3" ] }, { "productId": "clickup", "storyId": "agentic-official-cli", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows a Public API, OAuth, MCP server, and OpenAPI spec, but no mention anywhere of an official CLI tool for ClickUp. Absence of evidence for this applicable capability means the story is not delivered.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "agentic-public-api", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "ClickUp has a documented public REST API with authentication (personal tokens and OAuth2), interactive try-it docs, endpoints for tasks, comments, views, attachments, and a published OpenAPI spec reference, all clearly aimed at programmatic/automated use. This is well beyond typical vendor claims, though the probe found direct openapi.json paths 404ing, indicating the raw spec isn't trivially fetchable despite doc references. missing for 10: independent third-party corroboration of API robustness/reliability in production use.", "evidenceIds": [ "clickup-docs-1", "clickup-docs-25", "clickup-docs-26", "clickup-docs-27", "clickup-docs-28", "clickup-docs-33", "clickup-docs-34", "clickup-docs-35", "clickup-probe-2" ] }, { "productId": "clickup", "storyId": "agentic-scoped-keys", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "ClickUp's docs describe only two auth mechanisms — a full-access personal token (pk_) and an OAuth2 flow granting per-user tokens — with no mention of scoped permissions, granular scopes, or role/least-privilege restrictions for API credentials or agents.", "evidenceIds": [ "clickup-docs-25", "clickup-docs-26" ] }, { "productId": "clickup", "storyId": "agentic-sdks", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence describes ClickUp's REST Public API, OAuth2 authentication, an OpenAPI spec, and an MCP server for AI agents, but nowhere does it mention official client SDKs (e.g., official Python, JS, or other language libraries) for developers to build against. The probe for openapi.json/swagger.json paths also returned 404s, further indicating no packaged SDK artifacts are surfaced.", "evidenceIds": [ "clickup-docs-27", "clickup-docs-35", "clickup-probe-2" ] }, { "productId": "clickup", "storyId": "agentic-webhooks", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "The docs mention triggering workflows from ClickUp events and a Public API for integrations, which implies event-based subscription capability, but no evidence explicitly documents a webhooks feature, subscription setup, or event payload/API reference. missing for 10: explicit webhook documentation, event subscription setup instructions, event payload examples, independent confirmation of webhook reliability.", "evidenceIds": [ "clickup-docs-3", "clickup-docs-1" ] }, { "productId": "clickup", "storyId": "ai-answer-with-citations", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp Brain² explicitly answers complex questions by checking workspace tasks/docs/conversations and connected apps for insights (clickup-docs-9, clickup-docs-20, clickup-docs-10), and MCP search tool retrieves items across the workspace (clickup-docs-38), supporting instant answers grounded in workspace content. Missing for 10: explicit documentation of inline 'citations' UI in answers and independent hands-on verification of citation accuracy.", "evidenceIds": [ "clickup-docs-9", "clickup-docs-20", "clickup-docs-10", "clickup-docs-38", "clickup-docs-7" ] }, { "productId": "clickup", "storyId": "ai-auto-draft-updates", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp's MCP server documentation explicitly lists building executive reports, release notes, status updates, and portfolio summaries from tasks and docs, and Brain² is described as seeing real-time tasks/docs/conversations to answer questions without a brief — directly matching the story of AI drafting status updates from recent activity. Missing for 10: independent/hands-on verification that generated status updates are high quality, and no example output or benchmark beyond first-party marketing/docs copy.", "evidenceIds": [ "clickup-docs-40", "clickup-docs-20", "clickup-docs-9", "clickup-docs-36" ] }, { "productId": "clickup", "storyId": "ai-auto-triage-bugs", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "ClickUp explicitly markets a 'Triage Agent' that prioritizes bugs, backed by automation/workflow-trigger capabilities, indicating the feature exists. However, evidence is limited to a single marketing tagline with no detailed documentation of how triage/prioritization logic works, no independent or hands-on corroboration, and general community sentiment is unrelated to this specific feature. Missing for 10: detailed first-party documentation of triage logic/configuration, independent or hands-on verification that the Triage Agent works as claimed, and integration details with bug-tracking workflows.", "evidenceIds": [ "clickup-docs-19", "clickup-docs-14", "clickup-docs-3" ] }, { "productId": "clickup", "storyId": "ai-guided-code-review-explanations", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "ClickUp's evidence shows general AI agents (Codegen Agent, Brain² with GitHub integration) but nothing describing breaking a code diff into sections with change explanations. Missing for 10: any documentation of diff parsing, PR/commit summarization, or code-change explanation features.", "evidenceIds": [ "clickup-docs-18", "clickup-docs-10" ] }, { "productId": "clickup", "storyId": "ai-personalized-assistant", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "ClickUp's Brain² feature is explicitly marketed to 'learn how you and your team talk: your tone, your shorthand, your preferences' and adapts based on real-time context from tasks/docs/conversations, directly matching the story. However, this rests solely on first-party marketing copy with no independent or hands-on corroboration of the tone/shorthand-learning behavior actually working as described. Missing for 10: independent/hands-on verification that output style adapts to user tone, technical detail on how preferences are learned/stored, and user testimonials confirming personalization accuracy.", "evidenceIds": [ "clickup-docs-8", "clickup-docs-20", "clickup-docs-7" ] }, { "productId": "clickup", "storyId": "api-interactive-docs", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "ClickUp's developer docs explicitly describe a 'Try It' interactive panel available on every API endpoint for testing directly in the browser, plus a raw OpenAPI spec available for each API version, and extensive endpoint documentation (tasks, comments, views, attachments, filters). This directly matches the story of an interactive, runnable API reference. Missing for 10: independent/community corroboration of the interactive console's usability and a live-verifiable OpenAPI spec URL (probe found 404s on standard OpenAPI paths despite docs claiming one exists).", "evidenceIds": [ "clickup-docs-27", "clickup-docs-35", "clickup-docs-28", "clickup-docs-34", "clickup-docs-33", "clickup-probe-2" ] }, { "productId": "clickup", "storyId": "api-machine-spec", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "ClickUp's developer docs explicitly state the raw OpenAPI specification is available for each version of the Public API (clickup-docs-35), directly satisfying the story; probe attempts at guessed standard URLs returned 404 but that doesn't contradict a documented, linked spec location. Missing for 10: independent/hands-on confirmation of the actual spec file download and its completeness/currency.", "evidenceIds": [ "clickup-docs-35", "clickup-docs-27", "clickup-probe-2" ] }, { "productId": "clickup", "storyId": "api-sandbox", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence of a sandbox/staging environment or test workspace that AI-native users could safely test against without touching production data; docs mention personal API tokens for 'testing purposes' but this is just an auth mechanism, not an isolated sandbox environment. Missing for 10: any dedicated sandbox/staging instance, test workspace provisioning, or documented separation between test and production data.", "evidenceIds": [ "clickup-docs-25", "clickup-docs-27" ] }, { "productId": "clickup", "storyId": "api-versioning-policy", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence confirms ClickUp has a Public API with an OpenAPI spec 'available for each version' (clickup-docs-35), implying some versioning, but there is no documentation of a deprecation policy, sunset timelines, or version lifecycle communication anywhere in the pack, and a direct probe for the OpenAPI spec at standard paths returned 404s.", "evidenceIds": [ "clickup-docs-35", "clickup-probe-2" ] }, { "productId": "clickup", "storyId": "audit-log-admin-controls", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack mentions an admin audit log or activity/security log feature for workspace actions; documentation focuses on API, integrations, and AI agent features. Missing for 10: any mention of an audit log, admin security/activity tracking feature, or documentation of log export/review.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "auto-generate-release-changelogs", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "ClickUp's MCP server explicitly lists building 'release notes, status updates, and portfolio summaries from tasks and docs' as an AI capability, and GitHub/GitLab/Bitbucket integrations sync commits, PRs, and issues into ClickUp, giving raw material for a changelog. However, this is an on-demand AI query capability, not a dedicated auto-generate-changelog-per-release feature triggered by tags/releases. Missing for 10: a purpose-built changelog/release-notes generator tied to release events, evidence of automatic triggering on deploy/tag, and any independent/hands-on confirmation this workflow actually works well in practice.", "evidenceIds": [ "clickup-docs-40", "clickup-intdir-2", "clickup-intdir-3", "clickup-intdir-6", "clickup-docs-36" ] }, { "productId": "clickup", "storyId": "automation-bulk-operations", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "ClickUp's Public API and MCP tools let AI agents create, update, filter, and search tasks/views/comments programmatically, which could be scripted into bulk operations across many items, and automations can act on events at scale. However, there is no explicit documentation of a dedicated bulk-update/bulk-delete endpoint or batch API, and community feedback questions ClickUp's engineering reliability/performance under heavy use. Missing for 10: explicit bulk-operation API endpoints (e.g., batch create/update/delete), documented rate-limit/performance guarantees for large-scale operations, and independent verification that bulk actions work reliably at scale.", "evidenceIds": [ "clickup-docs-28", "clickup-docs-32", "clickup-docs-33", "clickup-docs-38", "clickup-docs-3", "clickup-comm-5", "clickup-comm-7" ] }, { "productId": "clickup", "storyId": "automation-rules-engine", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp has a dedicated Automations feature and documented ability to trigger workflows from ClickUp events via API/webhooks, directly matching the rule-based trigger/action story. Missing for 10: detailed documentation of the rule-builder UI (conditions/trigger types), independent hands-on verification of automation reliability, and AI-specific trigger examples beyond generic event-based workflows.", "evidenceIds": [ "clickup-docs-14", "clickup-docs-3", "clickup-docs-1" ] }, { "productId": "clickup", "storyId": "automation-scheduled-jobs", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "ClickUp advertises native Automations and event-based workflow triggers (clickup-docs-14, clickup-docs-3) plus API/MCP hooks for building custom flows, which could support recurring jobs, but no evidence explicitly documents recurring/scheduled triggers or cron-like automation for AI-native use. missing for 10: explicit documentation of recurring/scheduled automation triggers, AI-agent-specific scheduling examples, and independent confirmation that automations support recurrence.", "evidenceIds": [ "clickup-docs-14", "clickup-docs-3", "clickup-docs-36", "clickup-docs-6" ] }, { "productId": "clickup", "storyId": "automation-versioned-workflows", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack covers ClickUp's Automations feature, API, MCP server, and Brain² AI, but nothing describes versioning, reviewing, or rolling back automations/workflows. No changelog, history, or revert capability for automations is documented.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "code-repo-issue-sync", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows only generic API/webhook/MCP capabilities and Brain² pulling data from GitHub for AI answers, but no documentation of a native bi-directional issue-tracker sync (e.g., GitHub/GitLab/Jira issues linking with two-way status updates). missing for 10: dedicated GitHub/GitLab issue sync integration docs, evidence of bi-directional field/status mapping, any hands-on confirmation of sync working.", "evidenceIds": [ "clickup-docs-1", "clickup-docs-3", "clickup-docs-10" ] }, { "productId": "clickup", "storyId": "cross-platform-context-handoff", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "ClickUp provides a documented MCP server letting external AI agents/assistants read and act on workspace tasks, docs, and folders via natural language, plus a public API, 1,000+ integrations (GitHub, Slack, Jira migration, etc.), and Brain² which claims real-time awareness of tasks/docs/conversations across connected apps—together supporting context-preserving handoffs between tools/agents. However, evidence is entirely vendor-authored with no independent or hands-on confirmation that context/state actually survives a real handoff (e.g., agent-to-agent or tool-to-tool session continuity), and no benchmarks on data fidelity during transfer. Missing for 10: independent verification of lossless handoff in practice, and technical detail on state/session continuity beyond marketing claims.", "evidenceIds": [ "clickup-docs-36", "clickup-docs-38", "clickup-docs-20", "clickup-docs-9", "clickup-docs-10", "clickup-intdir-2", "clickup-intdir-12", "clickup-docs-24", "clickup-probe-3" ] }, { "productId": "clickup", "storyId": "cross-team-dependency-tracking", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers ClickUp's integrations, AI features, and general PM tooling (Sprints, Docs, Views, Automations) but contains no mention of task dependency linking, blocking/waiting relationships, or cross-team dependency visualization/tracking needed to coordinate large launches. Missing for 10: explicit dependency-tracking feature docs, cross-team roadmap/portfolio dependency views, and any hands-on validation of dependency coordination workflows.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "cross-tool-task-aggregation", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows ClickUp's public API, MCP server, and Brain² AI features, but nothing about aggregating or syncing assigned tasks from other PM tools (e.g., Jira, Asana, Trello) into a single unified ClickUp view. No integration list or cross-tool task sync is documented.", "evidenceIds": [ "clickup-docs-1", "clickup-docs-2", "clickup-docs-9", "clickup-docs-10" ] }, { "productId": "clickup", "storyId": "custom-agent-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "ClickUp markets 'Build your own agent' and offers pre-built agents (Codegen Agent, Triage Agent) plus a Brain² AI layer, suggesting some agent customization exists, but the evidence lacks concrete detail on the configuration process, scope of customizability (triggers, tools, permissions), or hands-on confirmation of how flexible agent-building actually is. Missing for 10: detailed documentation of the agent-builder UI/workflow, independent/hands-on verification of building a custom agent, and specifics on what can be configured (triggers, knowledge sources, actions).", "evidenceIds": [ "clickup-docs-5", "clickup-docs-6", "clickup-docs-18", "clickup-docs-19", "clickup-docs-7", "clickup-docs-20" ] }, { "productId": "clickup", "storyId": "custom-dashboard-widgets", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence shows a Public API that can create/update/filter existing views and dashboards (clickup-docs-33) and integration directory entries, but there is no evidence of an SDK, custom widget framework, or UI-extension mechanism allowing designers to build genuinely custom views/widgets that render natively inside ClickUp's interface — the API only manages ClickUp's own view objects, not custom-rendered components.", "evidenceIds": [ "clickup-docs-33", "clickup-docs-1", "clickup-docs-35" ] }, { "productId": "clickup", "storyId": "custom-fields-workflows", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp's API and docs show explicit support for custom fields (moving/adding custom fields to lists) and custom task types, and a Hacker News user (a long-time Jira convert) praises ClickUp specifically for making it fast to reconfigure task statuses versus Jira's rigid workflow engine. Together this shows both first-party capability and independent corroboration that fields/statuses are customizable to match team process. Missing for 10: dedicated first-party documentation on configuring workflow statuses/stages in the UI (only inferred via API custom fields and one community comment), and no hands-on demonstration of full workflow-status editing.", "evidenceIds": [ "clickup-docs-30", "clickup-docs-31", "clickup-docs-33", "clickup-comm-1" ] }, { "productId": "clickup", "storyId": "dashboard-reporting", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack lists many ClickUp features (Time Tracking, Whiteboards, Automations, Sprints, Docs, Chat, Proofing) and API/MCP capabilities, but nowhere mentions ClickUp's Dashboards or configurable widgets for reporting on project progress. The closest item, clickup-docs-40, only describes AI-generated 'executive reports' via MCP, not an interactive dashboard-building capability.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "design-tool-sync", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "ClickUp's only design-tool integration evidenced is embedding Figma prototypes inside ClickUp tasks/docs (clickup-intdir-5), which is the opposite direction of the story — it brings Figma content into ClickUp rather than letting a designer update task status from within Figma without switching apps. No evidence of a Figma plugin, sidebar, or comment/status sync that lets a designer change ClickUp status without leaving their design tool.", "evidenceIds": [ "clickup-intdir-5" ] }, { "productId": "clickup", "storyId": "full-history-export-fidelity", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack shows ClickUp's API can access tasks, comments, and attachments individually, but there is no documentation of a native workspace export feature that preserves full history (comments, attachments, audit trails) as a bundled export capability—only import tooling from other tools (e.g., Asana, Jira) is mentioned, not exporting out of ClickUp.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "granular-permission-roles", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack contains no mention of ClickUp's permissions/roles system (e.g., role-based access control, custom permissions per space/folder/list, guest permissions) — only API authentication (personal tokens/OAuth), which is developer-integration auth, not workspace user permission/role management. No first-party or community evidence describes granular view/edit access control features. missing for 10: documentation of role-based permissions, custom roles, guest/view-only access, space/folder/list-level permission settings.", "evidenceIds": [ "clickup-docs-25", "clickup-docs-26" ] }, { "productId": "clickup", "storyId": "guided-first-time-setup", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence of a guided onboarding walkthrough for setting up a workspace; evidence covers API docs, integrations, and AI/Brain features but nothing about first-time setup guidance or onboarding UX. Community comments even suggest complexity/clunkiness rather than a guided setup experience.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "import-from-other-tools", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence describes an import tool, wizard, or documented migration path from other PM tools; only a public API and community anecdote of a user having 'converted' from Jira without detail on how data was migrated. Missing for 10: dedicated import feature docs, supported source tools list, migration guide, or independent confirmation of successful data import.", "evidenceIds": [ "clickup-comm-1", "clickup-docs-1" ] }, { "productId": "clickup", "storyId": "in-app-team-chat", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp lists a 'Chat' product module directly in its suite alongside task/docs/sprints ([clickup-docs-17]), and independent community evidence confirms ClickUp has real-time chat built into the platform ([clickup-comm-3]), satisfying the core ask of chatting within the same tool used for planning work. Missing for 10: no detailed documentation of chat features (threads, mentions, task-linking) or hands-on quality feedback specifically about the chat experience.", "evidenceIds": [ "clickup-docs-17", "clickup-comm-3" ] }, { "productId": "clickup", "storyId": "initiative-status-tracking", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "ClickUp's task/list hierarchy and API support custom fields, custom task types, and configurable statuses (clickup-docs-28, clickup-docs-30, clickup-docs-31, clickup-comm-1), which are the building blocks for tracking initiatives with status and priority, and tasks can be assigned to teams/users. However, no evidence explicitly shows a first-class 'initiative' object, a dedicated priority field, or a formal team-ownership assignment mechanism — missing for 10: explicit initiative/epic-level object, dedicated priority field documentation, and owning-team assignment evidence.", "evidenceIds": [ "clickup-docs-28", "clickup-docs-30", "clickup-docs-31", "clickup-docs-34", "clickup-comm-1" ] }, { "productId": "clickup", "storyId": "inline-comments-on-content", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "Evidence covers task comments generally (view/add/update/delete comments via API) but there is no mention of commenting on specific inline text or images within a description, nor annotation/proofing-on-description features. Missing for 10: any documentation of inline text-highlight comments or image markup within item descriptions.", "evidenceIds": [ "clickup-docs-34" ] }, { "productId": "clickup", "storyId": "interface-rate-limit-disclosure", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack shows extensive API docs (authentication, tasks, comments, views, OpenAPI spec) and MCP server docs, but nothing documents rate limits, request quotas, or concurrency caps for building automation at scale. No mention of per-minute limits, throttling behavior, or tiered API limits appears anywhere in the pack.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "large-workspace-performance-limits", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No documentation or specific data addresses performance characteristics or item/task caps at scale (tens of thousands of tasks); the only related evidence is vague community complaints about general slowness/RAM usage, not concrete data on caps or scale behavior.", "evidenceIds": [ "clickup-comm-5", "clickup-comm-7" ] }, { "productId": "clickup", "storyId": "mobile-app-parity", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack addresses ClickUp's native mobile app or its feature parity with desktop; all citations cover web features, AI agents, API, or general product-quality complaints unrelated to mobile. Missing for 10: any documentation or hands-on mention of the mobile app, its feature set, or offline/parity capabilities.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "mobile-code-review-with-agent", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "ClickUp offers a 'Codegen Agent' and GitHub/GitLab/Bitbucket sync for tracking commits and PRs, plus mobile apps, but there is no evidence of a code-diff review UI, line-level commenting on AI-generated code changes, or agent iteration based on such comments, let alone from a mobile app.", "evidenceIds": [ "clickup-docs-18", "clickup-intdir-2", "clickup-intdir-3", "clickup-intdir-6", "clickup-intdir-18" ] }, { "productId": "clickup", "storyId": "multiple-project-views", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack only generically references 'views' via the API (create/update/delete/group/sort/filter) without naming board, list, calendar, or timeline view types or any UI-level view-switching capability; no documentation or community evidence confirms this specific multi-view experience.", "evidenceIds": [ "clickup-docs-33" ] }, { "productId": "clickup", "storyId": "native-integration-hub", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "ClickUp explicitly advertises native connections to GitHub and Google Drive (and Salesforce) via Brain² and its Public API/webhooks, but the evidence pack never mentions a native Slack integration, leaving one of the three named tools unconfirmed. Missing for 10: explicit Slack integration evidence, independent/hands-on confirmation of integration reliability, and details on integration setup/scope beyond marketing copy.", "evidenceIds": [ "clickup-docs-10", "clickup-docs-1", "clickup-docs-3", "clickup-docs-9" ] }, { "productId": "clickup", "storyId": "no-code-automation-builder", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "ClickUp explicitly lists an 'Automations' feature and documents triggering workflows from ClickUp events, indicating a native no-code automation builder exists, but the evidence pack gives no detail on multi-step logic, conditional branching, or a walkthrough of building such automations, and no independent/hands-on validation of this specific capability. missing for 10: detailed documentation of multi-step/conditional automation builder, hands-on or independent evidence of a PM successfully creating complex no-code automations.", "evidenceIds": [ "clickup-docs-14", "clickup-docs-3" ] }, { "productId": "clickup", "storyId": "openness-api-parity", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "ClickUp's Public API and docs show broad coverage—tasks, comments, custom fields, attachments, views, filters, OAuth, webhooks, and an OpenAPI spec—plus an MCP server exposing workspace search, time tracking, and reporting tools, suggesting strong but not exhaustive parity with the UI. However, there's no evidence that higher-end UI surfaces like Whiteboards, Docs authoring, Automations building, Sprints configuration, or Chat are fully API-manageable, and the openapi.json probe returned 404s at the standard paths, undermining full spec accessibility. Missing for 10: documented API/MCP coverage for Whiteboards, Docs creation/editing, Automation rule building, Sprint management, and Chat parity, plus a verifiably reachable OpenAPI spec.", "evidenceIds": [ "clickup-docs-28", "clickup-docs-29", "clickup-docs-33", "clickup-docs-34", "clickup-docs-35", "clickup-docs-3", "clickup-docs-36", "clickup-docs-38", "clickup-docs-39", "clickup-probe-2" ] }, { "productId": "clickup", "storyId": "openness-full-export", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack shows ClickUp has a Public API for reading/writing tasks, comments, views, etc. (clickup-docs-28/33/34) and mentions an OpenAPI spec, but the openapi.json endpoint 404s in the probe (clickup-probe-2), and there is no documentation of a bulk 'export all your data' feature, data-portability guarantee, or open-format (CSV/JSON/Markdown) full-workspace export/leave mechanism. Community evidence is about product quality/UX, not data export.", "evidenceIds": [ "clickup-docs-35", "clickup-probe-2", "clickup-docs-28", "clickup-docs-33", "clickup-docs-34" ] }, { "productId": "clickup", "storyId": "openness-open-license", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "ClickUp is a closed-source SaaS product; source code availability under an open license is not a fair axis for this type of commercial product, and no evidence suggests otherwise.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "openness-self-host", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "ClickUp is a SaaS product with no evidence of a self-hostable version; all documentation points to cloud-hosted service with APIs, integrations, and MCP server, but nothing indicates a self-hosted deployment option. Missing for 10: any mention of self-hosted/on-prem deployment, Docker images, or open-source core.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "portfolio-progress-rollup", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "The evidence only shows a passing AI-assistant capability to 'build executive reports' and 'portfolio summaries' via the MCP server, with no documentation of ClickUp's native Dashboards/Portfolio views, cross-project rollup widgets, or multi-project reporting UI. Missing for 10: dedicated portfolio/dashboard feature docs, cross-list/cross-space rollup mechanics, and independent corroboration of a true portfolio view.", "evidenceIds": [ "clickup-docs-40", "clickup-docs-38" ] }, { "productId": "clickup", "storyId": "prebuilt-project-templates", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack covers API, MCP, AI agents, integrations, and community sentiment, but contains no mention of pre-built project templates or a template library/gallery for jumpstarting projects.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "privacy-data-residency", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack mentions data residency, region selection, or storage location controls for ClickUp; the pack covers API, MCP, integrations, and AI agent features only. This is a fair axis for a SaaS productivity platform used by enterprise/AI-native customers, so absence of evidence yields 'none' rather than 'na'.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "privacy-no-training", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses data-training opt-out, privacy policy controls, or any AI-training exclusion settings for ClickUp; the evidence only covers integrations, API, MCP server, and Brain² AI features. Missing for 10: any documentation of an AI-training opt-out setting, privacy/data-processing policy statement, or enterprise data-usage controls.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "privacy-retention-controls", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses data retention policies, deletion controls, or privacy/compliance settings for AI features or workspace data; all citations concern API/MCP functionality, integrations, and product features. missing for 10: retention policy docs, deletion/export controls, data-processing/DPA or privacy center references, AI-training opt-out settings.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "privacy-telemetry-optout", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses telemetry/usage-tracking opt-out settings, privacy controls, or data collection disclosures for ClickUp or its AI features; the community comments mention 'trackers' in passing but with no concrete detail on opt-out mechanisms. missing for 10: privacy/telemetry documentation, opt-out settings or controls, any first-party statement on data collection for AI features.", "evidenceIds": [ "clickup-comm-7" ] }, { "productId": "clickup", "storyId": "private-restricted-teams", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention private sub-teams, restricted spaces, member-level access controls, or Teams/user groups with restricted membership in ClickUp; the pack covers API, MCP, AI agents, and integrations only. This axis is applicable to a project-management tool but no supporting evidence is present.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "public-status-page-uptime-sla", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence of a published uptime SLA or a public status page for real-time incident status; the evidence pack covers API docs, MCP server, integrations, and product features but nothing about SLA/status page. This is a fair axis for a SaaS product to publish, so absence is 'none' rather than 'na'.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "realtime-collaborative-updates", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "ClickUp advertises real-time chat and Brain² 'sees your tasks, docs, and conversations... in real-time,' suggesting some live-update capability, and a community comment confirms real-time chat exists. However there is no explicit documentation or hands-on evidence describing live, no-refresh syncing of task/doc edits across open sessions (e.g., collaborative cursors, instant task field updates), missing for 10: explicit real-time task/doc sync documentation, independent hands-on confirmation of no-refresh updates, evidence of multiplayer editing indicators.", "evidenceIds": [ "clickup-docs-17", "clickup-docs-20", "clickup-comm-3" ] }, { "productId": "clickup", "storyId": "rule-based-automation-builder", "verdict": "full", "quality": 6, "confidence": "medium", "rationale": "ClickUp explicitly ships a dedicated 'Automations' feature and documents triggering workflows from ClickUp events via its API, directly matching the trigger-and-action automation story. missing for 10: independent hands-on corroboration of building automation rules, and detail on the range of trigger/action types available.", "evidenceIds": [ "clickup-docs-14", "clickup-docs-3", "clickup-docs-1" ] }, { "productId": "clickup", "storyId": "saved-filtered-views", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "ClickUp's API/docs confirm views can be created, filtered, sorted and grouped (clickup-docs-33) and that task filtering is supported (clickup-docs-32), which underlies saved filtered views, but no evidence explicitly describes generating or sharing a link to a filtered view. Missing for 10: explicit documentation of view-sharing via link, UI-level confirmation of 'share view' feature, and any community/hands-on corroboration of this specific workflow.", "evidenceIds": [ "clickup-docs-33", "clickup-docs-32" ] }, { "productId": "clickup", "storyId": "scheduled-recurring-workflows", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "ClickUp explicitly advertises an 'Automations' feature and the ability to 'Trigger workflows from ClickUp events,' which supports building automated recurring workflows for routine team tasks, but the evidence never specifically confirms schedule-based (time/cron) triggers or recurring-event automation details. Missing for 10: explicit documentation of schedule/time-based triggers, recurring automation examples, and independent/hands-on confirmation that automations run reliably on a schedule.", "evidenceIds": [ "clickup-docs-14", "clickup-docs-3", "clickup-docs-1" ] }, { "productId": "clickup", "storyId": "seat-minimum-billing-policy", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items address pricing plans, seat minimums, or annual billing commitments; all evidence concerns API/integrations/MCP/features, not billing terms.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "shared-docs-knowledge-base", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "ClickUp explicitly lists a 'Docs' product feature and MCP tools confirm search across tasks, lists, folders, and Docs alongside project data, plus Figma embeds inside Docs show cross-linking with project work. However, evidence is thin—just a one-word feature bullet and indirect MCP references—without detail on doc organization (nesting, permissions, templates, wikis) that a PM would need. Missing for 10: documentation on doc hierarchy/organization structure, sharing/permission controls, and independent hands-on validation of the Docs experience.", "evidenceIds": [ "clickup-docs-16", "clickup-docs-38", "clickup-intdir-5", "clickup-docs-40" ] }, { "productId": "clickup", "storyId": "signed-commits-for-agent-sessions", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "ClickUp is a project/task management and productivity platform, not a source control system; requiring commit signing with SSH/GPG keys is a git/VCS concept entirely outside ClickUp's product category (it only syncs commit metadata from GitHub/GitLab/Bitbucket).", "evidenceIds": [] }, { "productId": "clickup", "storyId": "sprint-planning", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "ClickUp explicitly lists 'Sprints' as a first-party feature and offers Jira migration that preserves 'sprints and epics,' plus dev-tool integrations (GitHub/GitLab/Bitbucket, Sentry) for tracking progress against tasks, supporting agile engineering workflows. However, the evidence pack gives no detail on sprint mechanics (backlog, velocity, burndown/burnup charts, sprint points) beyond the single word 'Sprints,' and community feedback raises general concerns about ClickUp's engineering/performance quality (though not specifically about sprint planning failing). Missing for 10: detailed documentation of sprint configuration/points/burndown, independent hands-on validation of the sprint workflow specifically.", "evidenceIds": [ "clickup-docs-15", "clickup-intdir-12", "clickup-intdir-2", "clickup-intdir-3", "clickup-intdir-7", "clickup-comm-4", "clickup-comm-7" ] }, { "productId": "clickup", "storyId": "sso-saml-login", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention SSO, SAML, or enterprise identity/access management features; authentication docs only cover personal API tokens and OAuth2 for app integrations, not organizational SSO/SAML.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "support-response-time-by-tier", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack references documented support response times, SLAs, or support tiers for any ClickUp plan; the pack covers API, MCP, integrations, and community sentiment only.", "evidenceIds": [] }, { "productId": "clickup", "storyId": "task-creation-assignment", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "ClickUp's core product is task management with API docs confirming create/update tasks (clickup-docs-28), assignees and due dates being standard fields manageable via API and UI, plus custom fields, views, and comments support. Community evidence corroborates it as a functioning task/issue tracker despite complaints about bloat/performance. Missing for 10: explicit citation of assignee/due-date fields in the evidence pack and independent hands-on confirmation of assignment workflows.", "evidenceIds": [ "clickup-docs-28", "clickup-docs-33", "clickup-docs-34", "clickup-comm-1" ] }, { "productId": "clickup", "storyId": "task-dependencies-subtasks", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack covers ClickUp's API, integrations, and AI agent features but contains no explicit mention of subtasks, task hierarchies, or dependency linking (e.g., 'blocked by' relations) that would let an engineer show blocking order. Task-related docs only describe generic CRUD via the API, custom fields, and moving tasks between lists, none of which evidence dependency or subtask functionality.", "evidenceIds": [ "clickup-docs-28", "clickup-docs-30", "clickup-docs-31", "clickup-docs-33" ] }, { "productId": "clickup", "storyId": "third-party-app-marketplace", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "ClickUp documents a marketplace-style integrations directory with 1,000+ tools (Slack, GitHub, HubSpot, Salesforce, Figma, Jira, Asana, etc.) plus a public API/OAuth2 and MCP server for building custom connections, directly matching the story. Missing for 10: independent third-party corroboration of the marketplace's breadth/quality and no direct evidence of an actual 'app store'-style discovery UI beyond the integrations page.", "evidenceIds": [ "clickup-docs-24", "clickup-intdir-1", "clickup-intdir-2", "clickup-intdir-4", "clickup-intdir-11", "clickup-intdir-12", "clickup-intdir-16", "clickup-docs-1", "clickup-docs-26" ] }, { "productId": "clickup", "storyId": "time-tracking", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "ClickUp lists native \"Time Tracking\" as a core product feature and its MCP server explicitly supports logging time entries and managing timers, confirming engineers can track time directly against tasks/projects. Missing for 10: independent/hands-on corroboration specifically of time-tracking usage, and detailed public API docs for time-entry endpoints beyond the MCP tool mention.", "evidenceIds": [ "clickup-docs-12", "clickup-docs-39", "clickup-docs-36" ] }, { "productId": "clickup", "storyId": "unified-workspace-search", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "ClickUp documents a native 'Search Workspace' capability (via its MCP tool) that searches across tasks, Lists, Folders, and Docs, and Brain² claims to see 'tasks, docs, and conversations' in real time, suggesting broad cross-entity search/AI retrieval. However, evidence does not explicitly confirm comment-level search, nor provide any first-party or independent claims/benchmarks about search speed or accuracy. Missing for 10: explicit documentation that comments are searchable, and evidence of search performance/accuracy (benchmarks or hands-on validation).", "evidenceIds": [ "clickup-docs-38", "clickup-docs-20", "clickup-docs-9", "clickup-docs-36" ] }, { "productId": "clickup", "storyId": "visual-whiteboard-collaboration", "verdict": "full", "quality": 5, "confidence": "medium", "rationale": "ClickUp's product docs explicitly list \"Whiteboards\" as one of its core modules, confirming the feature exists for visual team collaboration. However, evidence is a single bare mention with no detail on real-time collaboration, sharing, or design-specific tooling, and no independent/hands-on corroboration. Missing for 10: detailed documentation of whiteboard collaboration features (real-time cursors, commenting, templates), independent user reviews specifically praising/critiquing whiteboards.", "evidenceIds": [ "clickup-docs-13" ] }, { "productId": "clickup", "storyId": "workflow-run-overage-fees", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item discusses API rate limits, automation execution caps, overage charges, throttling behavior, or hard stops when plan limits are exceeded; docs cover API usage/auth/MCP but not limit policies or consequences.", "evidenceIds": [] }, { "productId": "jira", "storyId": "agent-session-checkpoint-restore", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Jira is a project/issue tracking tool, not an AI coding agent runtime that maintains session checkpoints; this axis is a category error for its product type and no evidence contradicts that framing.", "evidenceIds": [] }, { "productId": "jira", "storyId": "agent-toolchain-autoprovisioning", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Jira is a project/issue-tracking product, not a coding agent or development environment that installs toolchains/dependencies; this axis concerns autonomous coding-agent tool setup, which is a category error for Jira's product type.", "evidenceIds": [] }, { "productId": "jira", "storyId": "agent-visual-regression-verification", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Jira is a project/issue-tracking product, not a browser-automation or UI-testing tool; visually verifying implementations via screenshots is outside its product category and not a capability Jira's own app surfaces (unlike browsing/coding agents). No evidence shows Jira itself performing screenshot-based verification, so this axis is a category error for the product type.", "evidenceIds": [] }, { "productId": "jira", "storyId": "agentic-agent-docs", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "A direct probe found no llms.txt at Atlassian's developer docs (404), and no evidence of agent-oriented documentation formats is provided; the only agentic hook is an MCP server, which is a different axis.", "evidenceIds": [ "jira-probe-1" ] }, { "productId": "jira", "storyId": "agentic-ai-insights", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Atlassian's own docs describe Rovo AI generating insights (trend identification, bottleneck detection) and suggestions (breaking big ideas into tasks, automated status reminders) directly from Jira data, matching the story's intent. However, all evidence is vendor marketing copy with no independent/hands-on validation of these AI features' actual quality or reliability, and community discussion never mentions Rovo AI at all. Missing for 10: independent or hands-on evaluation of Rovo AI insight accuracy/usefulness, and community corroboration of the AI features themselves.", "evidenceIds": [ "jira-docs-4", "jira-docs-10", "jira-docs-15" ] }, { "productId": "jira", "storyId": "agentic-autonomous-automation", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Jira has documented automation rules and Rovo AI features (auto-reminders, rules that move work forward, auto-assignment) that can run in the background without manual triggering, per jira-docs-4 and jira-docs-10. However, evidence is purely first-party marketing copy with no hands-on validation of autonomy, reliability, or how 'agentic' these automations truly are, and community feedback focuses on unrelated UI/performance complaints rather than confirming automation robustness. Missing for 10: independent/hands-on verification of autonomous automation execution, technical documentation of automation rule engine capabilities/limits, and evidence of complex multi-step autonomous workflows beyond simple reminders.", "evidenceIds": [ "jira-docs-4", "jira-docs-10", "jira-docs-15", "jira-docs-18" ] }, { "productId": "jira", "storyId": "agentic-builtin-assistant", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Atlassian's own docs describe Rovo AI as a built-in assistant that can break down tasks, auto-assign them, run automations, and surface trends — matching the 'delegate tasks to an AI assistant' story. However, all evidence is vendor marketing copy with no independent/hands-on confirmation that Rovo actually executes delegated tasks reliably. Missing for 10: independent or hands-on validation of Rovo AI task delegation, detail on scope/limits of what it can autonomously do, and community feedback on its real-world reliability.", "evidenceIds": [ "jira-docs-4", "jira-docs-10", "jira-docs-15" ] }, { "productId": "jira", "storyId": "agentic-headless", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Jira exposes a REST API and JQL that community members report using for scripted/automated interactions (e.g., writing API wrapper scripts, running REST queries), suggesting headless automation is possible, but there is no first-party documentation of CI-specific workflows, official CLI, or automation pipeline examples, and probes for OpenAPI/llms.txt discovery failed. missing for 10: explicit CI/headless automation docs, official CLI or SDK for pipelines, discoverable API spec (OpenAPI 404s).", "evidenceIds": [ "jira-docs-1", "jira-comm-11", "jira-comm-16", "jira-comm-17", "jira-probe-2" ] }, { "productId": "jira", "storyId": "agentic-mcp-client", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack only shows Jira/Atlassian exposing an official MCP server (jira-probe-3), which is the reverse capability (Jira's tools being consumed by other agents), not Jira itself acting as an MCP client that plugs in external MCP servers to use their tools. No documentation of Rovo AI or any Jira feature connecting to third-party MCP servers is present.", "evidenceIds": [ "jira-probe-3" ] }, { "productId": "jira", "storyId": "agentic-mcp-server", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "There's evidence of an official Atlassian MCP server repo (jira-probe-3) enabling agent connections, but the evidence pack lacks deeper documentation on setup, capabilities, or independent hands-on validation. Missing for 10: detailed first-party docs on the MCP server's features/auth, and independent corroboration of it working in practice.", "evidenceIds": [ "jira-probe-3" ] }, { "productId": "jira", "storyId": "agentic-nl-commands", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Jira's Rovo AI features (task breakdown, automations, trend surfacing) imply some natural-language assistance, and an official Atlassian MCP server exists that would let AI agents translate natural-language requests into Jira actions, but there is no direct documentation or hands-on evidence of a chat-style natural-language command interface within Jira itself. Missing for 10: first-party docs demonstrating actual NL command execution in-product, independent/hands-on confirmation that Rovo AI or MCP-driven commands reliably operate Jira.", "evidenceIds": [ "jira-docs-4", "jira-docs-10", "jira-docs-15", "jira-docs-18", "jira-probe-3" ] }, { "productId": "jira", "storyId": "agentic-official-cli", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence of an official Jira CLI anywhere in the pack; evidence covers APIs, integrations, MCP server, and community feedback but nothing about a first-party command-line interface. missing for 10: any mention of an official Jira CLI tool, its docs, install method, or command reference.", "evidenceIds": [] }, { "productId": "jira", "storyId": "agentic-public-api", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Jira advertises 'Rich APIs' and community members independently confirm and actively use a REST API (writing wrapper scripts, running JQL queries) to drive Jira programmatically, showing real-world API access beyond marketing claims. Missing for 10: a first-party OpenAPI/swagger spec or llms.txt discovery (probes returned 404s at guessed paths) and direct citation of official API reference docs.", "evidenceIds": [ "jira-docs-1", "jira-comm-11", "jira-comm-16", "jira-comm-17", "jira-probe-1", "jira-probe-2" ] }, { "productId": "jira", "storyId": "agentic-scoped-keys", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack only mentions 'Rich APIs' and SSO/SAML generically, with no documentation of scoped or least-privilege API tokens, OAuth scopes, or agent-specific credential issuance. No first-party or community evidence describes granular permission scoping for API/agent access.", "evidenceIds": [] }, { "productId": "jira", "storyId": "agentic-sdks", "verdict": "partial", "quality": 3, "confidence": "medium", "rationale": "Evidence shows Jira exposes a REST API that developers (including community members) use to build scripts and integrations, and 'Rich APIs' is claimed on the marketing page, but there is no evidence of an official language SDK (Python/JS/Java client libraries) or published API spec — probes for openapi/llms.txt both 404. Missing for 10: dedicated SDK documentation/repos, published OpenAPI spec, and first-party language client libraries.", "evidenceIds": [ "jira-docs-1", "jira-comm-11", "jira-comm-16", "jira-probe-1", "jira-probe-2" ] }, { "productId": "jira", "storyId": "agentic-webhooks", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item documents Jira webhooks (e.g., REST webhook registration API) despite this being a well-known Jira capability; only generic automation/integration marketing claims are present, none specifically describing webhook subscriptions.", "evidenceIds": [] }, { "productId": "jira", "storyId": "ai-answer-with-citations", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack mentions Rovo AI connecting data and automating tasks (jira-docs-4, jira-docs-10, jira-docs-15, jira-docs-18), but there is no documentation of a conversational Q&A interface that returns instant answers with citations from workspace content. Missing for 10: any mention of a Rovo AI chat/ask feature, citation of source content in answers, or hands-on evidence of this capability working.", "evidenceIds": [ "jira-docs-18", "jira-docs-4", "jira-docs-10", "jira-docs-15" ] }, { "productId": "jira", "storyId": "ai-auto-draft-updates", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Jira's marketing mentions Rovo AI keeping status 'up to date' via automations and reminders and surfacing trends, which gestures at AI-assisted status tracking, but no evidence shows Rovo actually drafting a written project/initiative status update from recent activity. missing for 10: explicit feature/docs showing AI-generated status update text, independent/hands-on confirmation that this works, and detail on how 'recent activity' is summarized.", "evidenceIds": [ "jira-docs-4", "jira-docs-15" ] }, { "productId": "jira", "storyId": "ai-auto-triage-bugs", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Rovo AI is documented to auto-assign tasks to the right person and use automation rules to move work forward, which is adjacent to triage, but there's no explicit documentation of AI automatically prioritizing or triaging incoming bugs/tasks by severity or urgency. Missing for 10: explicit bug-triage workflows, prioritization scoring/ranking by AI, and independent/hands-on evidence that Rovo AI performs this specific task.", "evidenceIds": [ "jira-docs-10", "jira-docs-4", "jira-docs-15" ] }, { "productId": "jira", "storyId": "ai-guided-code-review-explanations", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Jira is a project/issue-tracking tool, not a code review or diff-analysis product; breaking down code diffs into explained sections is outside its category and belongs to code-review/IDE-integrated AI tools.", "evidenceIds": [] }, { "productId": "jira", "storyId": "ai-personalized-assistant", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence that Rovo AI or any Jira assistant learns a user's tone, shorthand, or personal preferences to tailor output; evidence only covers general AI-assist automation, integrations, and trend surfacing.", "evidenceIds": [] }, { "productId": "jira", "storyId": "api-interactive-docs", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence of an interactive API reference or runnable-example console; probes explicitly show llms.txt and OpenAPI spec endpoints returning 404, and community mentions only note using the REST API and JQL, not an interactive documentation experience.", "evidenceIds": [ "jira-probe-1", "jira-probe-2", "jira-comm-16", "jira-comm-17" ] }, { "productId": "jira", "storyId": "api-machine-spec", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence of a downloadable OpenAPI/Swagger spec exists; probes explicitly found 404s for openapi.json, swagger.json, and llms.txt at developer.atlassian.com, and community mentions only using the REST API/JQL, not a machine-readable spec file.", "evidenceIds": [ "jira-probe-1", "jira-probe-2", "jira-comm-16", "jira-comm-11" ] }, { "productId": "jira", "storyId": "api-sandbox", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item mentions a sandbox, staging, or test environment for Jira that would let an AI-native user test without touching production data; all docs focus on features, integrations, and AI-assist automation, not test isolation.", "evidenceIds": [] }, { "productId": "jira", "storyId": "api-versioning-policy", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "While Jira has a REST API referenced by community users (jira-comm-16, jira-comm-11), the evidence pack contains no documentation of API versioning practices or a deprecation policy, and probes for OpenAPI specs and llms.txt both returned 404s. Missing for 10: any first-party documentation of API version numbers, deprecation timelines, or migration guides for breaking changes.", "evidenceIds": [ "jira-comm-16", "jira-comm-11", "jira-probe-1", "jira-probe-2" ] }, { "productId": "jira", "storyId": "audit-log-admin-controls", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item mentions an admin audit log or similar security/compliance activity tracking feature for Jira; all evidence covers features, integrations, and general community sentiment unrelated to audit logging.", "evidenceIds": [] }, { "productId": "jira", "storyId": "auto-generate-release-changelogs", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence of a release/changelog auto-generation feature in Jira; docs mention automation rules, integrations, and Rovo AI for status updates but nothing about generating changelogs from releases. Missing for 10: any documentation of release notes/changelog generation, version-based reporting export, or third-party changelog integration tied to Jira releases.", "evidenceIds": [] }, { "productId": "jira", "storyId": "automation-bulk-operations", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Jira's REST API and JQL query language (cited by multiple community members) enable scripted bulk operations across issues, and users report writing wrapper scripts against the API for faster bulk actions. However, there is no first-party documentation specifically describing a native bulk-edit/bulk-operations feature or AI-native bulk automation workflow, and the OpenAPI/llms.txt discovery probes failed. Missing for 10: explicit bulk-operations UI/API documentation, AI-agent-oriented bulk automation examples, independent confirmation of scale/performance for bulk actions.", "evidenceIds": [ "jira-docs-1", "jira-comm-11", "jira-comm-16", "jira-comm-17", "jira-probe-2" ] }, { "productId": "jira", "storyId": "automation-rules-engine", "verdict": "full", "quality": 6, "confidence": "medium", "rationale": "Jira's docs explicitly describe an automation engine that lets users 'connect tools to any Jira workflow with automation' and 'create custom automations... from automated reminders to rules that move work forward' via Rovo AI, matching the rule/trigger/action pattern the story describes. However, the evidence is marketing-level with no deep technical documentation of the rule builder (triggers/conditions/actions) or independent hands-on validation of automation reliability. Missing for 10: detailed technical docs on the automation rule engine's trigger/condition/action model, and independent/community corroboration that automation rules work as advertised.", "evidenceIds": [ "jira-intdir-1", "jira-docs-22", "jira-docs-13", "jira-docs-4" ] }, { "productId": "jira", "storyId": "automation-scheduled-jobs", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Jira docs mention automation rules (e.g., automated reminders, rules that move work forward, Rovo AI automations) and integration-based automation triggers, which implies some scheduling capability, but no evidence explicitly describes a recurring/cron-style scheduled job or workflow trigger mechanism. Missing for 10: explicit documentation of a scheduled/recurring trigger (e.g., cron-like automation trigger), independent confirmation of reliability for scheduled automations, and details on limits/scope of such schedules.", "evidenceIds": [ "jira-docs-4", "jira-intdir-1", "jira-docs-22" ] }, { "productId": "jira", "storyId": "automation-versioned-workflows", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence in the pack addresses versioning, reviewing, or rolling back Jira automation rules; docs only mention creating automations via Rovo AI with no mention of change history or rollback capability. Missing for 10: any documentation of automation version history, audit/review workflow, or rollback mechanism.", "evidenceIds": [ "jira-docs-4", "jira-docs-13" ] }, { "productId": "jira", "storyId": "code-repo-issue-sync", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Jira documents integration with Bitbucket (dev status visibility, release correlation) and a broad marketplace/automation ecosystem (3000+ apps) that could sync with code repo issue trackers like GitHub, but the evidence pack lacks specifics on true bi-directional sync mechanics (e.g., how issue state changes flow both ways, conflict resolution) for non-Atlassian repos like GitHub/GitLab. missing for 10: concrete bi-directional sync documentation with major non-Atlassian repo trackers (GitHub Issues, GitLab), independent verification that sync avoids data duplication, and details on conflict/latency handling.", "evidenceIds": [ "jira-docs-17", "jira-docs-21", "jira-intdir-1", "jira-docs-6", "jira-docs-20" ] }, { "productId": "jira", "storyId": "cross-platform-context-handoff", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Jira offers rich APIs, 3000+ Marketplace integrations, and cross-tool tracking (Slack, Figma, Gmail) plus a documented official MCP server enabling agent connectivity, which supports moving work/context across tools. However, there's no direct evidence describing context preservation specifically during agent-to-agent or tool-to-tool handoffs, and community reports note data-loss and UI issues (e.g., saving errors, ticket reassignment confusion) that raise doubts about seamless continuity. Missing for 10: explicit documentation of context/state preservation across handoffs, independent verification of the MCP server's agentic handoff behavior, and case studies of multi-tool agent workflows.", "evidenceIds": [ "jira-docs-2", "jira-docs-6", "jira-probe-3", "jira-comm-5", "jira-comm-7" ] }, { "productId": "jira", "storyId": "cross-team-dependency-tracking", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Jira docs explicitly claim cross-team dependency coordination for launches (jira-docs-8) plus supporting visibility/tracking features (timelines, progress views, priority visibility) that align with dependency tracking, and community evidence corroborates real-world use of Jira for tracking work via boards/JQL/REST. However, no dedicated 'dependency linking' feature or cross-project roadmap capability is directly evidenced, and community feedback highlights usability friction (slow, confusing UI, workflow issues) that could hamper coordination at scale. Missing for 10: explicit evidence of dependency-linking/blocked-by features, cross-project roadmap tooling, and independent validation of large-launch coordination use cases.", "evidenceIds": [ "jira-docs-8", "jira-docs-11", "jira-docs-14", "jira-comm-1", "jira-comm-9", "jira-comm-15" ] }, { "productId": "jira", "storyId": "cross-tool-task-aggregation", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Jira has a marketplace with 3000+ integrations and can track updates from tools like Slack, Figma, Gmail, but there is no evidence of a unified view that aggregates an engineer's assigned tasks specifically from other project management tools (e.g., Asana, Trello, Monday) into one dashboard.", "evidenceIds": [ "jira-docs-6", "jira-docs-2" ] }, { "productId": "jira", "storyId": "custom-agent-builder", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Rovo AI features (automations, task breakdown, trend surfacing) but no documentation of a builder/studio where users can create and configure their own custom AI agents within Jira. Missing for 10: any mention of an agent-builder/agent-configuration interface, examples of custom agent creation, or docs on agent permissions/tools.", "evidenceIds": [ "jira-docs-4", "jira-docs-10", "jira-docs-15", "jira-docs-18" ] }, { "productId": "jira", "storyId": "custom-dashboard-widgets", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence only shows built-in view switching (boards/lists/timeline/calendar) and a large marketplace of integrations, but nothing about a designer-facing SDK, UI kit, or dashboard/gadget-building framework that lets a designer construct custom widgets or views that feel native to Jira. Missing for 10: evidence of Forge/Connect UI kit or gadget API for custom dashboard widgets, design system/component library for building native-feeling views, and any case study of designers building such extensions.", "evidenceIds": [ "jira-docs-11", "jira-docs-6", "jira-docs-16" ] }, { "productId": "jira", "storyId": "custom-fields-workflows", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "Vendor docs explicitly promise customizable fields, workflows, and global/project-level configuration (jira-docs-3, jira-docs-13, jira-docs-16), and one community reviewer confirms Jira offers 'a good amount of customization' (jira-comm-1). However another hands-on comment describes the workflow/transition model as 'fundamentally flawed' and overly rigid (jira-comm-3), and others cite confusing setup and bloat (jira-comm-9, jira-comm-12), suggesting the customization is powerful but hard to configure cleanly. Missing for 10: independent verification of field/workflow customization UX, and resolution of the workflow-rigidity complaints.", "evidenceIds": [ "jira-docs-3", "jira-docs-13", "jira-docs-16", "jira-comm-1", "jira-comm-3", "jira-comm-9" ] }, { "productId": "jira", "storyId": "dashboard-reporting", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Docs confirm multiple progress-tracking views (boards, lists, timeline, calendars) and reporting on cycle time, burndown charts, and company-wide priority visibility, which supports dashboard-style reporting, but no evidence explicitly describes a dedicated dashboard/gadget builder with configurable widgets. missing for 10: explicit documentation of the dashboard/widget-building feature, independent corroboration of dashboard usage for PM reporting.", "evidenceIds": [ "jira-docs-9", "jira-docs-11", "jira-docs-14", "jira-docs-17" ] }, { "productId": "jira", "storyId": "design-tool-sync", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Atlassian's marketing page explicitly claims Jira lets you 'track progress from your favorite tools like Slack, Figma and Gmail' (jira-docs-2), which directly supports the story, but this is a single vendor bullet with no dedicated documentation of how the Figma sync works and no independent or hands-on confirmation from designers. Community evidence even notes friction with design teams adopting Jira workflows (jira-comm-13), reinforcing that this remains a thin, unverified claim rather than a proven capability. Missing for 10: dedicated Figma-integration docs/screenshots, independent hands-on validation, and confirmation designers can update status without leaving Figma.", "evidenceIds": [ "jira-docs-2", "jira-comm-13" ] }, { "productId": "jira", "storyId": "full-history-export-fidelity", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses export/backup functionality, or preservation of comments, attachments, or audit trails during export; all citations concern features, integrations, and general community sentiment unrelated to export fidelity.", "evidenceIds": [] }, { "productId": "jira", "storyId": "granular-permission-roles", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Evidence only mentions SAML/SSO and 'Global and project-level configuration' which loosely implies role/permission scoping, but there's no concrete documentation of granular field-level or issue-level view/edit permission schemes, permission schemes, or roles. Missing for 10: explicit documentation of Jira's permission schemes, project roles, issue security schemes, and independent verification of granular view/edit access control.", "evidenceIds": [ "jira-docs-16", "jira-docs-7" ] }, { "productId": "jira", "storyId": "guided-first-time-setup", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence of a guided onboarding walkthrough or setup wizard for first-time workspace configuration; evidence only covers features, integrations, and general community sentiment (some complaints about confusing UX). Missing for 10: any first-party documentation of an onboarding/setup wizard, guided tour, or first-run experience for engineers.", "evidenceIds": [] }, { "productId": "jira", "storyId": "import-from-other-tools", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack contains no mention of import tools, migration wizards, or CSV/data import features from other project management tools; it only covers integrations, automation, and general feature marketing plus community complaints unrelated to import/migration. Absence of evidence for this applicable onboarding capability yields 'none'.", "evidenceIds": [] }, { "productId": "jira", "storyId": "in-app-team-chat", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Jira integrates with Slack and other tools for notifications/automation, but there is no evidence of a native chat/messaging feature inside Jira itself where engineers can converse directly while planning work; the integrations point users out to Slack rather than providing in-tool chat.", "evidenceIds": [ "jira-docs-2", "jira-intdir-1", "jira-docs-6" ] }, { "productId": "jira", "storyId": "initiative-status-tracking", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Jira's customizable fields/workflows, timeline/board views, and cross-team initiative coordination (jira-docs-3, jira-docs-8, jira-docs-11, jira-docs-14) directly support tracking initiatives with status, priority, and owning team, and this is a core, long-standing Jira use case reinforced by community mentions of its flexibility (jira-comm-1, jira-comm-16). Missing for 10: explicit documentation of an 'Initiative' issue type/hierarchy level and independent hands-on confirmation of initiative-level tracking specifically (vs. general issue tracking).", "evidenceIds": [ "jira-docs-3", "jira-docs-8", "jira-docs-11", "jira-docs-14", "jira-docs-16", "jira-comm-1", "jira-comm-16" ] }, { "productId": "jira", "storyId": "inline-comments-on-content", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack describes inline/anchored commenting on specific text or images within a description field (e.g., text-selection comments or image annotations); only general commenting via ticket fields is implied by unrelated features. Missing for 10: any documentation or mention of text-anchored or image-annotation commenting functionality.", "evidenceIds": [] }, { "productId": "jira", "storyId": "interface-rate-limit-disclosure", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence pack item documents specific API rate limits, throttling thresholds, or concurrency caps for Jira's REST/API platform; probes for OpenAPI/llms.txt specs both 404'd, and community mentions only reference general API/JQL usage, not documented limits. missing for 10: documented rate-limit numbers or headers, concurrency cap documentation, any first-party developer.atlassian.com rate-limit policy page.", "evidenceIds": [ "jira-probe-1", "jira-probe-2", "jira-comm-16", "jira-comm-11" ] }, { "productId": "jira", "storyId": "large-workspace-performance-limits", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No vendor documentation addresses item caps or performance benchmarks at tens-of-thousands-of-tasks scale; community comments are anecdotal and contradictory (some call Jira 'quick and responsive' while many others describe it as slow, bloated, and prone to reload loops) without concrete data on scaling limits.", "evidenceIds": [ "jira-comm-1", "jira-comm-3", "jira-comm-10", "jira-comm-15" ] }, { "productId": "jira", "storyId": "mobile-app-parity", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack mentions a native mobile app, its feature parity with desktop, or mobile-specific functionality at all; all citations concern web features, integrations, and general community sentiment. Missing for 10: any mention of a mobile app, its feature set, offline capability, or comparisons to desktop functionality.", "evidenceIds": [] }, { "productId": "jira", "storyId": "mobile-code-review-with-agent", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Jira is an issue-tracking/PM tool, not a code review platform; reviewing AI agent code diffs and commenting on specific lines is a code-review axis (e.g., GitHub/GitLab), not something Jira's product category addresses. No evidence pack item shows Jira offering line-level code diff review from mobile.", "evidenceIds": [] }, { "productId": "jira", "storyId": "multiple-project-views", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "jira-docs-11 explicitly confirms switching between boards, lists, timeline, and calendar views of the same work, which directly matches the story; general performance/UX complaints in community evidence do not contradict this specific capability. Missing for 10: independent hands-on confirmation specifically of the view-switching feature (community evidence focuses on other pain points, not this capability).", "evidenceIds": [ "jira-docs-11" ] }, { "productId": "jira", "storyId": "native-integration-hub", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Jira docs confirm native/marketplace integrations with Slack, Bitbucket, Trello, and 3000+ apps, plus explicit mention of Slack automation triggers, but GitHub is not explicitly named (only Bitbucket) and Google Drive integration is not mentioned at all (Gmail/Figma/Confluence are cited instead). missing for 10: explicit GitHub integration evidence, explicit Google Drive integration evidence, independent/hands-on confirmation of these specific integrations working well.", "evidenceIds": [ "jira-docs-2", "jira-docs-6", "jira-docs-17", "jira-docs-19", "jira-docs-20", "jira-intdir-1" ] }, { "productId": "jira", "storyId": "no-code-automation-builder", "verdict": "full", "quality": 6, "confidence": "medium", "rationale": "Jira's docs describe no-code automation capabilities: 'customizable workflows that integrate with your tech stack' (jira-docs-13), 'connect your tools to any Jira workflow with automation' (jira-intdir-1, jira-docs-22), and Rovo AI creating 'custom automations...from automated reminders to rules that move work forward' (jira-docs-4) — all pointing to rule-based, no-code automation building. Missing for 10: independent/hands-on corroboration of building multi-step trigger-condition-action automations, and detailed documentation of the automation rule builder's complexity/limits rather than marketing copy.", "evidenceIds": [ "jira-docs-4", "jira-docs-13", "jira-intdir-1", "jira-docs-22", "jira-docs-3" ] }, { "productId": "jira", "storyId": "openness-api-parity", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Jira is documented to have 'Rich APIs' and community members confirm using the REST API/JQL for real workflows (bug submission scripts, querying data), showing the API is functional and used in practice. However, there is no evidence of comprehensive UI/API parity, and probes show no discoverable OpenAPI spec or llms.txt, undermining verifiability of full coverage. Missing for 10: explicit parity documentation, discoverable OpenAPI/machine-readable spec, and confirmation that all UI actions (workflow config, admin settings, boards) are API-accessible.", "evidenceIds": [ "jira-docs-1", "jira-comm-11", "jira-comm-16", "jira-comm-17", "jira-probe-1", "jira-probe-2" ] }, { "productId": "jira", "storyId": "openness-full-export", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack shows Jira has REST APIs and integrations (jira-docs-1, jira-comm-16) but contains no documentation of a dedicated full-data export feature or explicit support for open, portable formats (e.g., CSV/XML/JSON full backup) that would let a user extract everything and leave. Missing for 10: documented full-account/data export tool, explicit open-format export (CSV/XML/JSON), data portability/backup guarantees, and any community confirmation of successful full export and migration.", "evidenceIds": [ "jira-docs-1", "jira-comm-16" ] }, { "productId": "jira", "storyId": "openness-open-license", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Jira is closed-source commercial SaaS; there is no evidence of any open-licensed source code being available, and the evidence pack contains only API/feature docs and community commentary, none addressing source availability.", "evidenceIds": [] }, { "productId": "jira", "storyId": "openness-self-host", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Only evidence is a community comment mentioning running Jira on-prem, implying a self-hosted option exists but with performance caveats (e.g., Lucene index issues); there is no first-party documentation of a self-hosted/open-source edition, licensing, or install instructions in the pack. missing for 10: official self-hosting/Data Center documentation, deployment guides, licensing terms, independent corroboration of feature parity with cloud.", "evidenceIds": [ "jira-comm-6" ] }, { "productId": "jira", "storyId": "portfolio-progress-rollup", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Docs gesture at cross-project visibility (\"connect engineering, product, and marketing initiatives\" and \"visibility on your company's progress towards top priorities\") which implies portfolio-level rollup, but there is no explicit mention of a dedicated portfolio/roadmap feature, no detail on how multiple projects are aggregated, and no independent/community evidence confirming this works well in practice. Missing for 10: explicit description of a cross-project portfolio/roadmap feature (e.g. Advanced Roadmaps), concrete UI/workflow detail, and hands-on corroboration from community sources.", "evidenceIds": [ "jira-docs-8", "jira-docs-14", "jira-docs-9" ] }, { "productId": "jira", "storyId": "prebuilt-project-templates", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Jira's vendor docs explicitly claim pre-built, customizable templates for any project type (agile, marketing, etc.), directly matching the story. No independent/hands-on corroboration or specifics on template variety/quality is present, and no community evidence discusses templates specifically. Missing for 10: independent verification of template quality/breadth, hands-on onboarding experience evidence.", "evidenceIds": [ "jira-docs-5" ] }, { "productId": "jira", "storyId": "privacy-data-residency", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses data residency, regional hosting options, or data location controls for Jira; the pack only covers features, integrations, and general community sentiment. Missing for 10: documentation of data residency/region selection options, admin controls for choosing storage location, any compliance/residency certification details.", "evidenceIds": [] }, { "productId": "jira", "storyId": "privacy-no-training", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item addresses AI-training data opt-out or data-use controls for Rovo AI or Jira content; all citations concern features, integrations, or general community sentiment unrelated to AI training data policy.", "evidenceIds": [] }, { "productId": "jira", "storyId": "privacy-retention-controls", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack contains no documentation of data retention policies, deletion controls, GDPR/data lifecycle management, or AI-specific data handling controls for Jira; all citations relate to features, integrations, and general community sentiment. Missing for 10: retention policy docs, deletion/export controls, AI training data opt-out or data handling disclosures.", "evidenceIds": [] }, { "productId": "jira", "storyId": "privacy-telemetry-optout", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item addresses telemetry/usage-tracking opt-out settings for Jira; nothing on privacy controls or data collection toggles is documented. missing for 10: documentation of telemetry collection practices, an opt-out mechanism or setting, and any independent confirmation it works.", "evidenceIds": [] }, { "productId": "jira", "storyId": "private-restricted-teams", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items describe private sub-teams or member-restricted groups within Jira; only general permission/SSO mentions exist, none addressing team-level restriction. Missing for 10: documentation on creating restricted sub-teams, member-level access control, or project role/permission scoping evidence.", "evidenceIds": [] }, { "productId": "jira", "storyId": "public-status-page-uptime-sla", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention an uptime SLA or a public status page for Jira/Atlassian; all citations relate to features, integrations, or community sentiment on usability.", "evidenceIds": [] }, { "productId": "jira", "storyId": "realtime-collaborative-updates", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No vendor documentation or community evidence describes live/real-time propagation of teammate changes without a manual refresh; the feature pages focus on views, workflows, and integrations, not real-time sync. Some community reports even describe reload loops and stale UI behavior, but nothing confirms or denies instant cross-session updates specifically.", "evidenceIds": [ "jira-docs-11", "jira-comm-10", "jira-comm-5" ] }, { "productId": "jira", "storyId": "rule-based-automation-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Vendor docs reference building automation that connects tools to Jira workflows and using Rovo AI to create custom rules (reminders, auto-moving work) which aligns with trigger-and-action automation, but the evidence pack lacks any independent/hands-on confirmation of Jira's no-code automation rule builder specifically, and community commentary never mentions the automation engine at all. Missing for 10: independent corroboration of the automation rule builder, concrete examples of trigger/condition/action configuration, and detail beyond marketing copy.", "evidenceIds": [ "jira-docs-4", "jira-intdir-1", "jira-docs-13", "jira-docs-22" ] }, { "productId": "jira", "storyId": "saved-filtered-views", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Community comments confirm Jira's JQL/saved-search functionality exists and is valued by some users (jira-comm-16, jira-comm-17), but another user reports that creating a useful saved search is 'so painful' (jira-comm-12), indicating significant UX friction rather than a broken feature. No first-party documentation in the pack explicitly describes saving a filtered view and sharing it via a link. Missing for 10: official docs on saved filter creation/sharing, hands-on confirmation that the share-link mechanism works smoothly, and resolution of the friction noted by users.", "evidenceIds": [ "jira-comm-12", "jira-comm-16", "jira-comm-17" ] }, { "productId": "jira", "storyId": "scheduled-recurring-workflows", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Jira's marketing docs mention customizable, automatable workflows and Rovo AI-driven automation rules ('automated reminders to rules that move work forward'), implying some rule-based automation capability, but no evidence explicitly describes scheduled/cron-based or recurring-event triggers for routine tasks. Missing for 10: explicit documentation of schedule-based automation triggers, hands-on confirmation of recurring automations working reliably, and independent corroboration beyond vendor marketing copy.", "evidenceIds": [ "jira-docs-4", "jira-docs-13", "jira-docs-3" ] }, { "productId": "jira", "storyId": "seat-minimum-billing-policy", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack addresses Jira's pricing plans, seat minimums, or annual billing commitments; all citations concern features, integrations, and general community sentiment.", "evidenceIds": [] }, { "productId": "jira", "storyId": "shared-docs-knowledge-base", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack shows Jira as an issue/work tracker with customizable workflows, boards, and integrations, but contains no mention of a native shared docs/notes feature within Jira itself; the only related reference is community complaint about Confluence-Jira ticket creation breaking, which is not a documented docs capability.", "evidenceIds": [ "jira-comm-10" ] }, { "productId": "jira", "storyId": "signed-commits-for-agent-sessions", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Jira is a project/issue tracking tool, not a version control or commit-signing system; requiring cryptographic signing of commits is a source-control axis entirely outside Jira's product category.", "evidenceIds": [] }, { "productId": "jira", "storyId": "sprint-planning", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "Jira's docs explicitly market agile sprint templates, boards/timeline views, and burndown/cycle-time tracking (jira-docs-5, jira-docs-9, jira-docs-11), directly supporting sprint planning and management. However, community feedback includes specific friction with sprint mechanics, e.g. difficulty seeing tickets from a closed sprint and general UI slowness/bugginess (jira-comm-10, jira-comm-3, jira-comm-9), tempering the polish of the delivered experience. Missing for 10: independent hands-on validation specifically of sprint planning workflows (backlog grooming, sprint velocity) beyond marketing copy, and resolution of the closed-sprint visibility complaint.", "evidenceIds": [ "jira-docs-5", "jira-docs-9", "jira-docs-11", "jira-comm-10", "jira-comm-3" ] }, { "productId": "jira", "storyId": "sso-saml-login", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Jira's marketing page explicitly lists \"SAML & SSO\" as a feature, confirming the capability exists, but there is no detail on implementation, supported IdPs, enforcement, or independent/hands-on confirmation. missing for 10: technical documentation on SAML/SSO setup, supported identity providers, enforcement policies, independent verification of SSO reliability.", "evidenceIds": [ "jira-docs-7" ] }, { "productId": "jira", "storyId": "support-response-time-by-tier", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item mentions support response times, SLAs, or plan-tier support commitments; all evidence covers features, integrations, and general product sentiment.", "evidenceIds": [] }, { "productId": "jira", "storyId": "task-creation-assignment", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Jira's core workflow includes creating issues/tasks and assigning them to teammates, corroborated by docs (jira-docs-10) and community usage evidence of assignment (jira-comm-2, jira-comm-7). Due dates are a standard Jira field but not explicitly called out in the evidence pack. Missing for 10: explicit documentation/mention of due-date field usage, independent hands-on confirmation of due-date workflows.", "evidenceIds": [ "jira-docs-10", "jira-docs-3", "jira-comm-2", "jira-comm-7" ] }, { "productId": "jira", "storyId": "task-dependencies-subtasks", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "jira-docs-10 shows Jira supports breaking big work into actionable tasks (subtask-like breakdown), but the evidence pack contains no explicit mention of issue linking types (e.g., 'blocks'/'is blocked by') or dependency visualization that makes blocking order clear. Missing for 10: documentation of issue-link types for dependencies, evidence of dependency visualization (e.g., timeline/dependency lines), and any hands-on confirmation of this specific workflow.", "evidenceIds": [ "jira-docs-10", "jira-docs-11" ] }, { "productId": "jira", "storyId": "third-party-app-marketplace", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Atlassian Marketplace is explicitly documented with '3000+ integrations' and named examples (Slack, Figma, Gmail, Bitbucket, Trello, Tempo, Zephyr), directly matching the story. Missing for 10: independent/hands-on verification of marketplace breadth or ease of installing apps beyond vendor claims.", "evidenceIds": [ "jira-docs-6", "jira-docs-20", "jira-docs-2", "jira-docs-17", "jira-docs-19", "jira-intdir-2" ] }, { "productId": "jira", "storyId": "time-tracking", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no citation mentioning time tracking, worklogs, or logging time against tasks/projects—only generic feature marketing (workflows, AI-assist, integrations) and community complaints unrelated to time logging. Missing for 10: any docs or community evidence confirming time-logging/worklog functionality.", "evidenceIds": [] }, { "productId": "jira", "storyId": "unified-workspace-search", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Community feedback shows engineers value querying Jira data via JQL/REST (jira-comm-16, jira-comm-17), suggesting some search capability exists, but there's no evidence of unified search across tasks, docs, and comments, and other users report that creating even a basic saved search is painful (jira-comm-12) and that the UI is frequently slow (jira-comm-3, jira-comm-10, jira-comm-15). Missing for 10: dedicated documentation on a unified search feature, evidence of searching docs/comments alongside tasks, and independent confirmation of search speed/accuracy.", "evidenceIds": [ "jira-comm-16", "jira-comm-17", "jira-comm-12", "jira-comm-3", "jira-comm-10", "jira-comm-15" ] }, { "productId": "jira", "storyId": "visual-whiteboard-collaboration", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of a whiteboard or freeform visual-collaboration canvas feature in Jira; it only covers boards/lists/timelines for issue tracking, integrations, and Rovo AI automation. Whiteboarding is a plausible feature for a collaboration suite, but no evidence shows Jira itself ships one.", "evidenceIds": [] }, { "productId": "jira", "storyId": "workflow-run-overage-fees", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence pack items document Jira's automation rule limits, API rate limits, throttling behavior, or overage charges/notifications; nothing describes what happens when a plan's automation or API quotas are exceeded.", "evidenceIds": [] }, { "productId": "linear", "storyId": "agent-session-checkpoint-restore", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear explicitly documents checkpoint-based version history restore for coding sessions: \"If you need to revert to an earlier version, restore to any previous checkpoint from version history\" — this directly matches the story of restoring an AI agent's session state. It's first-party documentation only, with no independent/hands-on corroboration of the restore behavior in practice. Missing for 10: independent/hands-on verification of restore reliability, and detail on granularity/scope of what gets restored.", "evidenceIds": [ "linear-docs-35", "linear-docs-25", "linear-docs-44" ] }, { "productId": "linear", "storyId": "agent-toolchain-autoprovisioning", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear's docs explicitly state its coding agent detects and installs toolchains/dependencies during a session, plus can pin runtime versions and add setup scripts, and runs in cloud sandboxes without local environment setup. This is direct first-party evidence of the exact capability described, though missing for 10: independent/hands-on verification of this specific auto-detect behavior beyond vendor changelog claims.", "evidenceIds": [ "linear-docs-1", "linear-docs-26", "linear-docs-56", "linear-docs-44" ] }, { "productId": "linear", "storyId": "agent-visual-regression-verification", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear's own changelog explicitly documents that its coding agent opens the app, navigates a flow, verifies its implementation, and captures before-and-after screenshots for visual review alongside code (linear-docs-27, linear-docs-66, linear-docs-57, linear-docs-25). This directly matches the story's requirement of an agent verifying its own implementation via app navigation and screenshot capture. Missing for 10: independent/hands-on corroboration beyond vendor changelog and no detail on failure/edge-case handling of this verification flow.", "evidenceIds": [ "linear-docs-27", "linear-docs-66", "linear-docs-57", "linear-docs-25", "linear-docs-2" ] }, { "productId": "linear", "storyId": "agentic-agent-docs", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear's developer docs are exposed as clean .md pages (agents.md, graphql.md, webhooks.md, sdk.md, aig.md), a pattern consistent with agent-oriented/llms.txt-style documentation that an AI agent could be pointed at directly. However, there's no explicit llms.txt file cited, no first-party statement framing these docs as agent-consumption-optimized, and no independent evidence of an agent successfully using them this way. Missing for 10: explicit llms.txt manifest, documentation of agent-readability intent, third-party confirmation of successful agent consumption.", "evidenceIds": [ "linear-docs-49", "linear-docs-51", "linear-docs-53", "linear-docs-54", "linear-docs-78" ] }, { "productId": "linear", "storyId": "agentic-ai-insights", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear ships AI-agent features (Write with Agent for project updates, Loops for automated doc/plan updates, auto-triage/routing of feedback into issues, Linear Agent investigating issues) that surface generated content and suggestions inside the product, per linear-docs-19, linear-docs-38, linear-docs-45, linear-docs-62, linear-docs-95-97. However, these are framed as agentic task-execution/automation rather than analytic 'insights' (e.g., trend analysis, prioritization recommendations, summarization dashboards), and there's no independent/hands-on evidence validating quality of these AI outputs. missing for 10: dedicated insight/analytics generation (e.g., pattern detection across issues, predictive suggestions, summarized health reports) and third-party corroboration of suggestion quality.", "evidenceIds": [ "linear-docs-19", "linear-docs-38", "linear-docs-45", "linear-docs-62", "linear-docs-95", "linear-docs-96", "linear-docs-97" ] }, { "productId": "linear", "storyId": "agentic-autonomous-automation", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear's \"Loops\" feature explicitly lets users describe a job in plain language and set it to run on a schedule or in response to events, enabling autonomous background automations (e.g., updating docs, posting Slack updates, monitoring initiatives) without manual triggering. This is well documented across multiple changelog entries describing scheduling, event triggers, and recurring workflows. Missing for 10: independent/hands-on verification of reliability at scale and no third-party community confirmation of autonomous background execution in practice.", "evidenceIds": [ "linear-docs-11", "linear-docs-36", "linear-docs-95", "linear-docs-96", "linear-docs-97", "linear-docs-100", "linear-docs-77" ] }, { "productId": "linear", "storyId": "agentic-builtin-assistant", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear ships a built-in 'Linear Agent' that users can delegate issues to directly (assign/mention), which writes code via Claude Code/Codex, edits text, runs Loops for recurring work, drafts project updates, and shows delegated work status in My Issues, all documented extensively in first-party changelog docs. missing for 10: independent/hands-on verification beyond vendor changelog, and clearer detail on reliability/limits of the built-in assistant in real-world use.", "evidenceIds": [ "linear-docs-21", "linear-docs-25", "linear-docs-31", "linear-docs-41", "linear-docs-19", "linear-docs-38", "linear-docs-36", "linear-docs-12", "linear-docs-45", "linear-docs-68" ] }, { "productId": "linear", "storyId": "agentic-headless", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Linear exposes a full GraphQL API with API-key and OAuth2 authentication, a typed SDK, webhooks for event-driven automation, and documented rate limits/deprecation policy — all of which allow scripting issue creation, queries, and workflow automation entirely headlessly (e.g. from CI pipelines) without the UI. Missing for 10: no dedicated CLI tool or explicit CI/GitHub Actions integration guide, and no independent hands-on report of using the API in a CI pipeline.", "evidenceIds": [ "linear-docs-49", "linear-docs-50", "linear-docs-51", "linear-docs-52", "linear-docs-53", "linear-supp-graphql-introspection", "linear-supp-rate-limits", "linear-docs-99", "linear-docs-93" ] }, { "productId": "linear", "storyId": "agentic-mcp-client", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "All MCP-related evidence (linear-probe-1, linear-docs-67, linear-intdir-4, linear-intdir-6) describes Linear exposing its OWN MCP server so that other tools (Cursor, Claude) can connect TO Linear — the opposite direction from the story, which asks whether a user can plug external MCP servers INTO Linear so Linear's agent can use their tools. No evidence shows Linear or Linear Agent consuming/importing third-party MCP servers as a client.", "evidenceIds": [ "linear-probe-1", "linear-docs-67", "linear-intdir-4", "linear-intdir-6" ] }, { "productId": "linear", "storyId": "agentic-mcp-server", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Linear publishes an official MCP server (docs page at linear.app/docs/mcp) and the changelog confirms ongoing feature work on it (e.g., Okta-based access management via Linear's MCP), showing agents can connect through this official channel. Missing for 10: independent/hands-on verification of the MCP server in use and detailed docs on setup/tool coverage beyond the single probe reference.", "evidenceIds": [ "linear-probe-1", "linear-docs-67" ] }, { "productId": "linear", "storyId": "agentic-nl-commands", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear supports natural-language interaction extensively: users can @mention Linear Agent, describe jobs in plain language for Loops, use 'Write with Agent' to draft updates, and delegate issues via comments in natural language (linear-docs-11, -19, -36, -41, -68). This is well documented across multiple first-party changelog entries and the agents.md docs, but missing for 10: independent/hands-on evidence of natural-language command accuracy or limitations, and no dedicated NL command palette/chat interface separate from agent-delegation workflows.", "evidenceIds": [ "linear-docs-11", "linear-docs-19", "linear-docs-36", "linear-docs-38", "linear-docs-41", "linear-docs-68", "linear-docs-54", "linear-docs-64" ] }, { "productId": "linear", "storyId": "agentic-official-cli", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack documents Linear's GraphQL API, TypeScript SDK, webhooks, OAuth, and MCP server, but nowhere mentions an official command-line interface (CLI) tool for interacting with Linear. Since CLI is a plausible and common tool for developer-facing products, its absence here is a gap rather than an inapplicable axis.", "evidenceIds": [] }, { "productId": "linear", "storyId": "agentic-public-api", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Linear ships a well-documented public GraphQL API with introspection, an explorable schema via Apollo Studio, OAuth2/API-key auth, TypeScript SDK, webhooks, rate-limit documentation, and a deprecation policy, giving AI-native users a robust way to programmatically drive the product. missing for 10: independent hands-on developer reports validating real-world API usage/reliability beyond Linear's own docs.", "evidenceIds": [ "linear-docs-49", "linear-docs-50", "linear-docs-51", "linear-docs-53", "linear-docs-74", "linear-docs-92", "linear-docs-93", "linear-docs-99", "linear-supp-graphql-introspection", "linear-supp-apollo-explorer", "linear-supp-rate-limits", "linear-supp-deprecations" ] }, { "productId": "linear", "storyId": "agentic-scoped-keys", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear documents OAuth2 apps with distinct scopes (e.g. app:assignable, app:mentionable) for building agents, admin approval workflows for third-party apps, and per-key rate limits differentiated by auth type, which together enable a degree of least-privilege credentialing for agent integrations. However, personal API keys (the simpler credential path) are not shown to be scope-limited, and there's no first-party or independent evidence of fine-grained per-resource/action scoping akin to full least-privilege IAM. Missing for 10: documentation of scoped personal API keys, granular resource-level permission control beyond the small named scope list, and independent/hands-on verification of least-privilege enforcement.", "evidenceIds": [ "linear-docs-50", "linear-docs-94", "linear-docs-99", "linear-docs-73", "linear-docs-42", "linear-docs-30", "linear-supp-rate-limits" ] }, { "productId": "linear", "storyId": "agentic-sdks", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear publishes an official TypeScript SDK exposing its GraphQL schema with strongly typed models (linear-docs-53, linear-docs-89, linear-docs-93), backed by full GraphQL API docs, introspection, published schema SDL, OAuth2/API key auth, rate limits, and deprecation policy (linear-supp-graphql-introspection, linear-supp-apollo-explorer, linear-supp-rate-limits, linear-supp-deprecations, linear-docs-99, linear-docs-50). This gives AI-native developers a solid, well-documented official SDK to build against. Missing for 10: independent/hands-on developer corroboration (e.g., GitHub stars, community usage reports) of the SDK itself beyond official docs, and SDKs in languages beyond TypeScript.", "evidenceIds": [ "linear-docs-53", "linear-docs-89", "linear-docs-93", "linear-supp-graphql-introspection", "linear-supp-apollo-explorer", "linear-supp-rate-limits", "linear-supp-deprecations", "linear-docs-99", "linear-docs-50" ] }, { "productId": "linear", "storyId": "agentic-webhooks", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Linear provides documented webhooks with a webhookCreate mutation to subscribe to HTTP push notifications for data create/update/delete events, plus in-app event subscriptions for project views routed to Inbox/Slack, giving AI-native users clear ways to consume event streams programmatically. Missing for 10: independent/hands-on corroboration of webhook reliability or payload completeness beyond first-party docs.", "evidenceIds": [ "linear-docs-51", "linear-docs-52", "linear-docs-61" ] }, { "productId": "linear", "storyId": "ai-answer-with-citations", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence shows Linear Agent can draft updates by gathering context (e.g. 'Write with Agent' reviewing changes and Slack messages) and supports MCP integrations for external AI tools, but there is no documented feature where a user can directly ask a question and receive an instant answer with citations pulled from workspace content. This is a plausible axis for a workspace tool, but no such Q&A/citation feature is evidenced.", "evidenceIds": [ "linear-docs-19", "linear-docs-38", "linear-intdir-5", "linear-intdir-9" ] }, { "productId": "linear", "storyId": "ai-auto-draft-updates", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear's 'Write with Agent' feature explicitly drafts project status updates by reviewing recent activity changes and linked Slack messages, and Loops can also react to initiative/project changes to keep documents and plans updated automatically. Missing for 10: independent/hands-on corroboration of update quality, and explicit first-party example of initiative-level (vs project-level) status update drafting.", "evidenceIds": [ "linear-docs-19", "linear-docs-38", "linear-docs-95", "linear-docs-96", "linear-docs-100", "linear-docs-34" ] }, { "productId": "linear", "storyId": "ai-auto-triage-bugs", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear docs explicitly describe AI-driven triage: incoming feedback/issues are 'instantly routed, labeled, and prioritized for the right team,' and Linear Agent can 'investigate and attempt a fix before it reaches an engineer,' plus a Priority tab surfaces what needs attention. These directly match the automatic triage/prioritization story. Missing for 10: independent/hands-on evidence validating triage accuracy or reliability beyond vendor changelog claims.", "evidenceIds": [ "linear-docs-62", "linear-docs-45", "linear-docs-69" ] }, { "productId": "linear", "storyId": "ai-guided-code-review-explanations", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear's 'Guided Reviews' explicitly break diffs into focused sections with explainers on what changed and why, directly matching the story, and this is paired with broader Linear Agent coding-session features (before/after screenshots, mobile review, code review workflows) that support engineers reviewing AI-generated diffs. Missing for 10: independent/hands-on corroboration beyond vendor changelog, and no detail on how granular or customizable the 'sections' are.", "evidenceIds": [ "linear-docs-7", "linear-docs-6", "linear-docs-66", "linear-docs-72" ] }, { "productId": "linear", "storyId": "ai-personalized-assistant", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Linear Agent can draft updates, edit text, and run automated 'Loops', but nothing describes it learning an individual user's tone, shorthand, or personal preferences to tailor future outputs — personalization/memory of style is never mentioned.", "evidenceIds": [] }, { "productId": "linear", "storyId": "api-interactive-docs", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear's GraphQL API supports introspection and is explorable/queryable via Apollo Studio Explorer with no login required, effectively an interactive reference with runnable queries, plus published docs with sample queries/mutations and an SDK. However, this is a third-party hosted explorer rather than a first-party embedded interactive API reference, and there's no evidence of runnable examples directly within Linear's own developer docs site. missing for 10: first-party embedded interactive API console with runnable examples on developers.linear.app itself, independent/hands-on confirmation of the Apollo Explorer experience, broader runnable example coverage beyond basic query/mutation snippets.", "evidenceIds": [ "linear-supp-apollo-explorer", "linear-supp-graphql-introspection", "linear-docs-74", "linear-docs-92", "linear-docs-93", "linear-docs-49", "linear-docs-87" ] }, { "productId": "linear", "storyId": "api-machine-spec", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear's API is GraphQL, not OpenAPI/REST, but it explicitly supports schema introspection and publishes a full schema SDL file in the linear/linear GitHub repo, plus an explorable schema via Apollo Studio — giving AI-native users machine-readable access to the API's shape without needing a human-written spec. This satisfies the intent of a downloadable machine-readable spec via GraphQL introspection/SDL rather than OpenAPI itself. missing for 10: no explicit OpenAPI/Swagger document, no single-click 'download spec' artifact, and no independent/community confirmation of using the introspection or SDL file in practice.", "evidenceIds": [ "linear-supp-graphql-introspection", "linear-supp-apollo-explorer", "linear-docs-49", "linear-docs-79" ] }, { "productId": "linear", "storyId": "api-sandbox", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Linear is a project/issue-tracking and agent-orchestration tool, not a data platform or database with a production/test-data split; 'sandbox vs production data' is a category mismatch for this product type. No evidence suggests Linear offers sandbox environments for testing against non-production data copies.", "evidenceIds": [] }, { "productId": "linear", "storyId": "api-versioning-policy", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Linear's own docs explicitly state its GraphQL API 'doesn't have versioning like many REST APIs,' but they do document a deprecation policy: use of the @deprecated schema directive, proactive outreach for breaking changes, and changelog entries tagged [API]. This satisfies the 'documented deprecation policy' half of the story but directly contradicts the 'versioned APIs' half. Missing for 10: an actual versioning scheme (e.g., v1/v2 endpoints or dated API versions), and independent/community corroboration that deprecation notices are reliably honored in practice.", "evidenceIds": [ "linear-supp-deprecations", "linear-docs-49", "linear-supp-graphql-introspection" ] }, { "productId": "linear", "storyId": "audit-log-admin-controls", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of an admin audit log feature listing actions taken across the workspace; the only near-miss reference (linear-docs-59) discusses private teams enabling 'audits' as a use case, not an actual audit log capability. This is an applicable security/compliance axis for a workspace tool like Linear, but no evidence shows it delivers the capability.", "evidenceIds": [] }, { "productId": "linear", "storyId": "auto-generate-release-changelogs", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Linear explicitly documents an auto-generate release notes option in pipeline settings, directly matching the story of auto-generating a changelog per release. missing for 10: no detail on customization/format of generated changelogs, no independent/hands-on corroboration beyond the single changelog entry.", "evidenceIds": [ "linear-docs-17" ] }, { "productId": "linear", "storyId": "automation-bulk-operations", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Linear's GraphQL API, SDK, and webhook system (linear-docs-49,53,51) provide the technical means to script bulk changes across issues, and there's a documented bulk import capability (linear-docs-47). However, there is no explicit documentation of a dedicated bulk-edit UI, batch mutation endpoints, or AI-agent-driven bulk operation workflow across many items at once. missing for 10: explicit bulk-edit/multi-select UI docs, batch/bulk GraphQL mutations, and any agent or automation example operating on multiple items simultaneously.", "evidenceIds": [ "linear-docs-49", "linear-docs-53", "linear-docs-51", "linear-docs-47", "linear-docs-74" ] }, { "productId": "linear", "storyId": "automation-rules-engine", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear's 'Loops' feature explicitly lets users describe a job in plain language and choose to run it on a schedule or in response to an event (e.g., initiative/project/cycle changes), with concrete examples like auto-updating docs or posting Slack messages when a target date changes. This is reinforced by webhook support for event-driven automation via the API. Missing for 10: independent/hands-on corroboration beyond vendor docs, and detail on the breadth of definable trigger conditions/rules.", "evidenceIds": [ "linear-docs-11", "linear-docs-36", "linear-docs-95", "linear-docs-96", "linear-docs-97", "linear-docs-100", "linear-docs-51", "linear-docs-52" ] }, { "productId": "linear", "storyId": "automation-scheduled-jobs", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear's 'Loops' feature is explicitly designed for recurring agent workflows: users describe a job and choose to run it 'on a schedule or in response to an event,' with examples like auto-updating launch plans and posting Slack updates when project dates change. Docs also show loops can be shared as team-wide skills and pinned/favorited for ongoing use, covering both scheduling and workflow automation depth. Missing for 10: independent/hands-on confirmation that scheduled loops reliably trigger as configured, and technical detail on scheduling granularity or failure handling.", "evidenceIds": [ "linear-docs-11", "linear-docs-36", "linear-docs-95", "linear-docs-96", "linear-docs-97", "linear-docs-100", "linear-docs-23", "linear-docs-46", "linear-docs-77" ] }, { "productId": "linear", "storyId": "automation-versioned-workflows", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Linear offers general version history/checkpoint restore for work (linear-docs-35) and rich review tooling for agent-produced code changes (guided reviews, diff rendering — linear-docs-7, linear-docs-72), which partially satisfies the 'version, review, rollback' need for AI-generated work. However there is no evidence of version control, review, or rollback specifically for the automations/Loops themselves (the scheduled/event-driven workflows) — only their outputs (documents, code) get versioned. Missing for 10: explicit versioning of Loop/automation definitions, audit trail of automation changes, and a dedicated rollback mechanism for the automation logic itself rather than just its output artifacts.", "evidenceIds": [ "linear-docs-35", "linear-docs-7", "linear-docs-72", "linear-docs-95", "linear-docs-36" ] }, { "productId": "linear", "storyId": "code-repo-issue-sync", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Linear's changelog references GitHub-synced issues (opening them in GitHub) and syncing review requests/teams with GitHub, plus a public GraphQL API and webhooks that could be used to build two-way sync with an external tracker, but there is no explicit documentation describing full bi-directional field sync (status, description, comments) that eliminates duplicate data entry with a repo issue tracker. Missing for 10: explicit doc/feature description of two-way sync with GitHub Issues (not just PR/review linking), independent/hands-on confirmation that sync avoids duplication, and coverage beyond GitHub (e.g., GitLab).", "evidenceIds": [ "linear-docs-58", "linear-docs-8", "linear-docs-32", "linear-docs-51", "linear-docs-52", "linear-docs-49" ] }, { "productId": "linear", "storyId": "cross-platform-context-handoff", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Linear documents extensive hand-off machinery for agentic work: issues can be delegated (not assigned) to AI agents while humans retain ownership, agents behave like workspace members (mentions, comments, docs) so context stays attached to the issue, and MCP/integration connectors (GitHub, Copilot, Codex, Claude, Cursor, Slack) let work flow between tools while Linear remains the shared context hub. Features like 'Write with Agent' (pulls prior updates plus Slack context), checkpoints/version history, guided reviews with before/after screenshots, and Loops updating linked docs/Slack on changes all reinforce continuity across handoffs. missing for 10: independent/hands-on verification that context genuinely survives cross-tool handoffs (all evidence is first-party docs), and no explicit benchmark/comparison of information loss vs other tools", "evidenceIds": [ "linear-docs-54", "linear-docs-55", "linear-docs-64", "linear-docs-41", "linear-docs-38", "linear-docs-19", "linear-docs-35", "linear-docs-25", "linear-docs-27", "linear-docs-21", "linear-intdir-4", "linear-intdir-6", "linear-docs-80", "linear-docs-95", "linear-docs-96", "linear-docs-97" ] }, { "productId": "linear", "storyId": "cross-team-dependency-tracking", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Linear's initiative feature lets a team be assigned to lead cross-team work with statuses (proposed/canceled) and priority, which supports coordinating large launches (linear-docs-4, linear-docs-14, linear-docs-37, linear-docs-63, linear-docs-76), and project-view subscriptions notify on changes (linear-docs-61). However, there's no explicit evidence of dependency-specific features like blocking/blocked-by issue relations or a dependency graph across teams. missing for 10: explicit issue-to-issue dependency/blocking relation docs, cross-team dependency visualization, hands-on evidence of coordinating a large launch using these features.", "evidenceIds": [ "linear-docs-4", "linear-docs-14", "linear-docs-37", "linear-docs-63", "linear-docs-76", "linear-docs-61" ] }, { "productId": "linear", "storyId": "cross-tool-task-aggregation", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Linear integrates with GitHub, Slack, Okta, and supports one-time data import from other services (linear-docs-47), but there is no evidence of a unified cross-tool task view aggregating assignments from multiple external project management tools (e.g., Jira, Asana) into one dashboard. Linear positions itself as a replacement for such tools rather than an aggregator.", "evidenceIds": [ "linear-docs-47" ] }, { "productId": "linear", "storyId": "custom-agent-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear offers in-product mechanisms for creating custom agent-like automation: Loops let users 'describe the job in plain language' and set it to run on a schedule or event (linear-docs-36/95-100), and Skills let teams codify and share recurring agent workflows (linear-docs-23/46). Linear also documents a developer-facing Agents API for building agents that behave like workspace members (assignable, mentionable, can comment) (linear-docs-16, linear-docs-54/64/75/90/94). This is meaningful but falls short of a full custom-agent builder with model/tool selection or a dedicated no-code agent studio. Missing for 10: no evidence of choosing/configuring underlying models or custom toolsets, no dedicated 'agent builder' UI beyond Loops/Skills, and no independent hands-on confirmation of ease-of-use.", "evidenceIds": [ "linear-docs-36", "linear-docs-95", "linear-docs-96", "linear-docs-97", "linear-docs-100", "linear-docs-23", "linear-docs-46", "linear-docs-16", "linear-docs-90", "linear-docs-54", "linear-docs-64", "linear-docs-94" ] }, { "productId": "linear", "storyId": "custom-dashboard-widgets", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence only shows saved/shareable filtered views (linear-docs-13) and standard issue/project views — there is no SDK, embed framework, or dashboard-widget builder that would let a designer create custom native-feeling widgets or dashboards. The public API/webhooks/SDK docs (linear-docs-49-53) are developer-facing data access, not a UI customization surface for designers.", "evidenceIds": [] }, { "productId": "linear", "storyId": "custom-fields-workflows", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no vendor documentation describing custom issue fields or configurable workflow statuses for teams; the only relevant community evidence explicitly states Linear lacks the ability to define different issue types or add custom fields, and describes this as a deliberate design choice against Jira-style customization.", "evidenceIds": [] }, { "productId": "linear", "storyId": "dashboard-reporting", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers Linear's agent/AI coding features, initiatives, teams, and API/webhooks extensively, but contains no mention of dashboard-building or configurable reporting widgets for tracking project progress. Filtered/shared views (linear-docs-13) and project view event subscriptions (linear-docs-61) are the closest hints, but neither describes a dashboard or widget system a PM could assemble for progress reporting.", "evidenceIds": [ "linear-docs-13", "linear-docs-61", "linear-comm-8" ] }, { "productId": "linear", "storyId": "design-tool-sync", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack shows Linear's API, webhooks, GraphQL SDK, and general integrations (GitHub, Slack, Okta) but contains no mention of a Figma or other design-tool plugin/integration that lets designers update project status without leaving their design tool. Missing for 10: any Figma/design-tool plugin, any documented design-tool-to-Linear status sync, or third-party evidence of such a workflow.", "evidenceIds": [] }, { "productId": "linear", "storyId": "full-history-export-fidelity", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no mention of a workspace export feature at all—only import tooling (from other services into Linear) is documented, with nothing about exporting comments, attachments, or audit trails out of Linear. This is a fair question for a project-management tool, so absence of evidence means 'none' rather than 'na'.", "evidenceIds": [ "linear-docs-47", "linear-docs-101" ] }, { "productId": "linear", "storyId": "granular-permission-roles", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Linear offers some access-control building blocks—private/restricted sub-teams and initiatives that limit visibility to team members (linear-docs-15, linear-docs-29, linear-docs-40, linear-docs-59), Okta-based identity and 'existing Linear permissions' management (linear-docs-5, linear-docs-60, linear-docs-67), and admin approval of third-party apps (linear-docs-73)—but there's no evidence of granular, role-based view/edit permission assignment at the issue or field level that a PM could configure themselves. Missing for 10: documented custom roles/permission levels, per-user or per-field view/edit controls, and any PM-facing UI for assigning such permissions beyond team membership.", "evidenceIds": [ "linear-docs-15", "linear-docs-29", "linear-docs-40", "linear-docs-59", "linear-docs-5", "linear-docs-60", "linear-docs-67", "linear-docs-73" ] }, { "productId": "linear", "storyId": "guided-first-time-setup", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence describes an onboarding wizard, guided workspace setup, or first-run tutorial for new engineers; the pack covers agents, integrations, API docs, and changelog features but nothing about initial workspace configuration guidance.", "evidenceIds": [] }, { "productId": "linear", "storyId": "import-from-other-tools", "verdict": "full", "quality": 6, "confidence": "medium", "rationale": "Linear documents explicit import capabilities: generic 'Import data from other services into Linear' plus a dedicated Jira migration flow ('Smoothly transition from Jira to Linear') and import tooling for uploading from other systems mentioned in the repo README. This directly satisfies the PM's need to migrate data when switching tools, though detail is thin — missing for 10: specifics on which tools/formats are supported, what data (comments, attachments, custom fields) is preserved, and independent/community confirmation that migrations work smoothly in practice.", "evidenceIds": [ "linear-docs-47", "linear-docs-101", "linear-intdir-11" ] }, { "productId": "linear", "storyId": "in-app-team-chat", "verdict": "partial", "quality": 4, "confidence": "medium", "rationale": "Linear supports asynchronous team collaboration via comments on issues, documents, and images (linear-docs-24, linear-docs-22) and @mentions (linear-docs-54), plus Slack integration for notifications (linear-docs-61, linear-docs-81), but there is no evidence of a native real-time chat/messaging feature inside Linear itself — collaboration is comment-based, not conversational chat. missing for 10: a dedicated in-app chat/messaging surface, evidence of synchronous team chat, and any first-party claim positioning Linear as a chat tool rather than relying on comments/Slack.", "evidenceIds": [ "linear-docs-24", "linear-docs-22", "linear-docs-54", "linear-docs-61", "linear-docs-81" ] }, { "productId": "linear", "storyId": "initiative-status-tracking", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear docs show initiatives support status (Proposed/canceled/other statuses), priority, and an owning team assignment ('assign a team to lead an initiative'), directly matching the story. missing for 10: independent hands-on corroboration of the initiative-tracking UI beyond changelog claims.", "evidenceIds": [ "linear-docs-4", "linear-docs-14", "linear-docs-28", "linear-docs-37", "linear-docs-59" ] }, { "productId": "linear", "storyId": "inline-comments-on-content", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Linear's own changelog explicitly states the exact capability: 'You can now comment directly on text or images in issue descriptions,' directly matching the story. missing for 10: no independent/hands-on corroboration beyond the vendor changelog entry.", "evidenceIds": [ "linear-docs-24" ] }, { "productId": "linear", "storyId": "interface-rate-limit-disclosure", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear's developer docs explicitly publish per-auth-type rate limits (API key, OAuth, unauthenticated), leaky-bucket refill behavior, complexity limits, and rate-limit response headers, giving AI-native builders concrete numbers to design automation around. Missing for 10: explicit documented concurrency caps (max simultaneous requests/connections) beyond hourly request quotas, and no independent/hands-on confirmation that these limits hold in practice at scale.", "evidenceIds": [ "linear-supp-rate-limits", "linear-docs-49", "linear-docs-50" ] }, { "productId": "linear", "storyId": "large-workspace-performance-limits", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item addresses performance benchmarks, scalability limits, or item caps for workspaces with tens of thousands of tasks; community comments only mention general speed vs Jira without scale specifics. This is a fair question for an issue tracker but remains unaddressed here.", "evidenceIds": [] }, { "productId": "linear", "storyId": "mobile-app-parity", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Docs show mobile app supports specific engineer workflows like reviewing code diffs and commenting (linear-docs-6) and, as of a recent update, document creation/editing (linear-docs-71), indicating mobile parity is being actively built out rather than already complete. There is no evidence of full task-management parity (e.g., initiatives, project views, filters, admin settings) on mobile, and no independent/community confirmation of a full-featured mobile experience. Missing for 10: comprehensive mobile feature-parity documentation covering all core desktop workflows (initiatives, filters, admin, integrations), and independent user reviews confirming no functionality gaps on mobile.", "evidenceIds": [ "linear-docs-6", "linear-docs-71" ] }, { "productId": "linear", "storyId": "mobile-code-review-with-agent", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Linear's docs explicitly state the mobile app supports reviewing code changes, commenting on specific lines, and iterating with Linear Agent (linear-docs-6), backed by broader agent workflow features like Guided Reviews with diff explainers (linear-docs-7), before/after screenshots (linear-docs-27/66), and mobile document editing (linear-docs-71) showing mobile parity investment. Missing for 10: independent/hands-on third-party confirmation of the mobile review-and-iterate flow working smoothly in practice.", "evidenceIds": [ "linear-docs-6", "linear-docs-7", "linear-docs-27", "linear-docs-66", "linear-docs-71" ] }, { "productId": "linear", "storyId": "multiple-project-views", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack has no mention of board, list, calendar, or timeline views, or of switching between them — only a generic reference to sharing 'any filtered view' via URL, which doesn't establish this specific multi-view capability.", "evidenceIds": [] }, { "productId": "linear", "storyId": "native-integration-hub", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Linear's integrations directory explicitly documents native Slack (create issues from Slack messages, sync threads, Slack notifications), GitHub (automate PR workflows, review code, sync issues, assign reviews to GitHub teams), and Google Drive-adjacent file referencing plus a broad app ecosystem (Figma, GitLab, Sentry, Datadog, Notion, etc.), backed by OAuth/API infrastructure for deeper connections. Missing for 10: explicit first-party documentation of a native Google Drive integration specifically (only general file/import references appear) and independent hands-on confirmation of these integrations' reliability.", "evidenceIds": [ "linear-docs-80", "linear-docs-81", "linear-docs-8", "linear-docs-32", "linear-docs-61", "linear-docs-73", "linear-docs-91", "linear-docs-99" ] }, { "productId": "linear", "storyId": "no-code-automation-builder", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Linear's 'Loops' feature lets users describe a recurring job in plain language and choose a schedule or event trigger, with multi-step behavior like updating documents and posting Slack messages when conditions change—exactly a no-code automation builder usable by a PM. Additional context (skills, agent-based investigation/monitoring) reinforces no-code configurability. missing for 10: independent/hands-on evidence of a PM successfully building complex branching automations, and detail on conditional/branching logic depth", "evidenceIds": [ "linear-docs-11", "linear-docs-36", "linear-docs-95", "linear-docs-96", "linear-docs-97", "linear-docs-100", "linear-docs-16", "linear-docs-46", "linear-docs-23" ] }, { "productId": "linear", "storyId": "openness-api-parity", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "Linear's GraphQL API exposes the same schema used internally to build the app, with full introspection, mutations for issues/projects/comments, webhooks, OAuth2/API key auth, and an SDK, covering most core CRUD and workflow operations (linear-docs-49, linear-supp-graphql-introspection, linear-docs-74, linear-docs-92-93). However, several UI-native features (Agent sessions/Loops orchestration nuances, admin spend limits, Okta/SSO provisioning, third-party app approval flows, mobile-specific review UI) are not clearly exposed as API-first operations, and no independent evidence confirms 1:1 parity between UI and API surfaces. missing for 10: explicit documentation/confirmation that all admin/security settings (SSO, spend limits, app approvals) and newer Agent/Loop features are fully API-controllable, plus independent verification of full UI-API parity.", "evidenceIds": [ "linear-docs-49", "linear-supp-graphql-introspection", "linear-supp-apollo-explorer", "linear-docs-74", "linear-docs-92", "linear-docs-93", "linear-docs-51", "linear-docs-99", "linear-supp-rate-limits" ] }, { "productId": "linear", "storyId": "openness-full-export", "verdict": "partial", "quality": 4, "confidence": "medium", "rationale": "Linear has no documented one-click 'export all data' feature; however, its open GraphQL API (with full schema introspection, SDK, and reasonable rate limits) lets a technical user programmatically pull out all their issues, projects, and comments, which is a de facto exit path. There's no bulk-export or archive format documented, and community confirms no self-hosting option, meaning a full clean 'leave with your data' workflow is not officially supported. missing for 10: a documented bulk/archival export feature (e.g., JSON/CSV dump), official data-portability tooling, and independent confirmation that a full account export actually works.", "evidenceIds": [ "linear-docs-49", "linear-supp-graphql-introspection", "linear-supp-apollo-explorer", "linear-docs-53", "linear-comm-10" ] }, { "productId": "linear", "storyId": "openness-open-license", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence indicates Linear's application source is published under an open license; the only related item is a stray README reference on GitHub (linear-docs-101) which does not establish an open-source license or full source availability. Linear is a closed, proprietary SaaS product per all other evidence (docs, integrations, community threads about lack of self-hosting).", "evidenceIds": [ "linear-docs-101", "linear-comm-10" ] }, { "productId": "linear", "storyId": "openness-self-host", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Linear is explicitly a cloud-only SaaS with no self-hosting option; a community Q&A cites a direct Linear response stating 'We unfortunately don't currently have plans to provide self-hosting' (linear-comm-10). No docs anywhere in the evidence pack mention on-prem/self-hosted deployment.", "evidenceIds": [ "linear-comm-10" ] }, { "productId": "linear", "storyId": "portfolio-progress-rollup", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Linear's Initiatives feature (grouping multiple projects under a lead team, with status like proposed/canceled and priority) points toward portfolio-style organization, but the evidence never explicitly describes progress roll-up (e.g., aggregated completion percentages or a dedicated portfolio dashboard) across projects. Missing for 10: explicit documentation of progress aggregation/visualization across projects, independent/hands-on confirmation of a portfolio view, and any reporting-specific UI details beyond initiative metadata.", "evidenceIds": [ "linear-docs-4", "linear-docs-28", "linear-docs-14", "linear-docs-37", "linear-docs-59", "linear-docs-76" ] }, { "productId": "linear", "storyId": "prebuilt-project-templates", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no mention of pre-built project or issue templates for jumpstarting new projects; the closest feature, the 'project composer' with Linear Agent, is AI-assisted drafting rather than a template library. missing for 10: any documentation of a templates gallery, template selection UI, or first-party/community evidence of template-based project creation.", "evidenceIds": [] }, { "productId": "linear", "storyId": "privacy-data-residency", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack mentions data residency, region selection, or storage location controls for Linear workspaces; only unrelated features (access control via Okta, admin app approvals, self-hosting explicitly denied) are covered.", "evidenceIds": [ "linear-docs-60", "linear-comm-10" ] }, { "productId": "linear", "storyId": "privacy-no-training", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses AI training data opt-out or any policy preventing customer data from being used to train AI models; the pack covers agents, integrations, API, and workspace features but is silent on AI training data usage policy.", "evidenceIds": [] }, { "productId": "linear", "storyId": "privacy-retention-controls", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack covers admin access control, identity management (Okta/SSO), API rate limits, and agent behavior, but contains no mention of data retention policies, data deletion controls, or configurable retention windows for AI-generated content or session data. Missing for 10: any documentation of retention periods, deletion/export APIs, or admin controls specifically for purging AI agent data or session history.", "evidenceIds": [] }, { "productId": "linear", "storyId": "privacy-telemetry-optout", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses telemetry or usage-tracking opt-out settings for Linear; the material covers agents, integrations, API, and product features but nothing about privacy/telemetry controls. Missing for 10: any documentation of a telemetry setting, opt-out toggle, privacy policy statement, or usage-tracking disclosure.", "evidenceIds": [] }, { "productId": "linear", "storyId": "private-restricted-teams", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Linear's docs explicitly describe private sub-teams with restricted visibility options — 'Private to team members — the team is hidden, except to members directly invited to that sub-team' and 'Restricted to parent team members', directly matching the story of PM-created private sub-teams limited to specific members. Additional docs confirm these sub-teams can organize sensitive-data groups and that initiatives led by private teams stay confidential. Missing for 10: independent/hands-on corroboration beyond vendor docs.", "evidenceIds": [ "linear-docs-15", "linear-docs-40", "linear-docs-29", "linear-docs-59" ] }, { "productId": "linear", "storyId": "public-status-page-uptime-sla", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item mentions a published uptime SLA or a public status page with real-time incident status; only unrelated docs, community sentiment, and API/agent features are provided. Missing for 10: any mention of an SLA commitment, a status page URL, or incident history/uptime reporting.", "evidenceIds": [] }, { "productId": "linear", "storyId": "realtime-collaborative-updates", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation or community reports describing real-time, no-refresh syncing of teammates' changes across open sessions (e.g., live cursors, instant issue updates, presence). References to webhooks (linear-docs-51/52) describe external HTTP push notifications for integrations, not in-app live UI updates, and speed-related comments (linear-comm-6) address load times, not multi-session sync.", "evidenceIds": [] }, { "productId": "linear", "storyId": "rule-based-automation-builder", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear's 'Loops' feature explicitly lets users describe a job in plain language and choose to run it on a schedule or in response to an event, automating recurring work like updating docs, posting Slack messages, or monitoring initiatives — a direct trigger-and-action automation capability, further extensible via webhooks and the GraphQL API for custom automations. missing for 10: independent/hands-on verification of Loops reliability at scale, and more detail on the breadth of available trigger/action types beyond the examples shown.", "evidenceIds": [ "linear-docs-11", "linear-docs-36", "linear-docs-95", "linear-docs-96", "linear-docs-97", "linear-docs-100", "linear-docs-51", "linear-docs-52" ] }, { "productId": "linear", "storyId": "saved-filtered-views", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Linear explicitly documents saving/sharing filtered views: \"You can now share any filtered view by copying its URL from your browser, or by pressing ⌘/Ctrl Shift C on desktop\" (linear-docs-13), directly matching the story of sharing a filtered work view via link. Missing for 10: independent/hands-on community confirmation of this specific feature beyond the vendor changelog.", "evidenceIds": [ "linear-docs-13" ] }, { "productId": "linear", "storyId": "scheduled-recurring-workflows", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Linear's 'Loops' feature explicitly lets users describe a job in plain language and choose to run it on a schedule or in response to an event, targeting recurring team work like weekly planning, doc updates, or launch plan syncing (linear-docs-11, linear-docs-36, linear-docs-23, linear-docs-95, linear-docs-96, linear-docs-100). This directly matches the story of scheduled/recurring workflow automation for routine team tasks. missing for 10: independent/hands-on verification of Loops reliability and no detail on error handling or monitoring of scheduled runs.", "evidenceIds": [ "linear-docs-11", "linear-docs-36", "linear-docs-23", "linear-docs-95", "linear-docs-96", "linear-docs-97", "linear-docs-100" ] }, { "productId": "linear", "storyId": "seat-minimum-billing-policy", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack addresses pricing plans, seat minimums, or annual billing commitments for Linear's subscription plans; all evidence relates to product features, API, and integrations. Missing for 10: any pricing page or plan documentation disclosing seat minimums, billing cadence, or contract terms.", "evidenceIds": [] }, { "productId": "linear", "storyId": "shared-docs-knowledge-base", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear supports document creation and organization tied to projects/issues (teams can create documents from home page, add existing documents to projects/issues, group into sections, comment on docs, mobile doc editing) which covers shared docs alongside project work. However, evidence for cross-team/workspace-wide doc organization, folder hierarchies, or dedicated doc search/collaboration features (e.g. co-editing, version history for docs specifically) is thin. missing for 10: evidence of broader doc organization features (folders/wikis beyond project linkage), real-time co-editing, and independent user feedback confirming docs experience.", "evidenceIds": [ "linear-docs-22", "linear-docs-71", "linear-docs-24", "linear-docs-98" ] }, { "productId": "linear", "storyId": "signed-commits-for-agent-sessions", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Linear's changelog explicitly states coding sessions support signed commits with SSH or GPG keys added in Settings, directly matching the story. missing for 10: no independent/hands-on corroboration confirming enforcement behavior (e.g., that unsigned commits are blocked) or admin-level requirement/policy controls.", "evidenceIds": [ "linear-docs-9" ] }, { "productId": "linear", "storyId": "sprint-planning", "verdict": "partial", "quality": 4, "confidence": "medium", "rationale": "Evidence shows Linear supports general agile planning artifacts—issues, priorities, initiatives, roadmaps, and project alignment (linear-docs-76, linear-docs-63, linear-docs-37)—and community comments confirm it functions as a fast issue tracker (linear-comm-1, linear-comm-6). However, the pack contains no direct evidence of Linear's sprint/cycle-specific features (e.g., cycle planning, sprint velocity, burndown, backlog grooming) that would confirm dedicated sprint management. Missing for 10: explicit documentation of Cycles/sprint creation, velocity tracking, sprint retrospectives, and backlog prioritization tools.", "evidenceIds": [ "linear-docs-76", "linear-docs-63", "linear-docs-37", "linear-comm-1", "linear-comm-6" ] }, { "productId": "linear", "storyId": "sso-saml-login", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "Linear's docs describe Okta-based identity verification and centralized access management for admins, indicating SSO support, and the MCP changelog confirms managing employee access via Okta-managed identity. However, none of the evidence explicitly mentions SAML configuration or enterprise SSO setup details, and there's no independent/hands-on confirmation of the feature working. Missing for 10: explicit SAML protocol documentation, broader SSO provider support beyond Okta, and independent verification of enforcement.", "evidenceIds": [ "linear-docs-5", "linear-docs-60", "linear-docs-67", "linear-docs-30" ] }, { "productId": "linear", "storyId": "support-response-time-by-tier", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item mentions support response time SLAs or plan-tier support commitments; the pack covers product features, API, and agent capabilities but nothing about documented support response times per pricing tier.", "evidenceIds": [] }, { "productId": "linear", "storyId": "task-creation-assignment", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Evidence confirms issue creation (IssueCreate mutation) and assignment (assignedIssues, agents 'delegated issues through assignment') as core API/product capabilities, implying basic task creation and assignment support, but no evidence pack item explicitly documents setting or displaying due dates on issues. Missing for 10: explicit documentation of a due-date field on issues, UI walkthrough of assigning a task with a due date, and independent confirmation of this specific workflow.", "evidenceIds": [ "linear-docs-74", "linear-docs-93", "linear-docs-54", "linear-comm-4" ] }, { "productId": "linear", "storyId": "task-dependencies-subtasks", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of sub-issues, issue hierarchies, or blocking/blocked-by dependency links—core planning-tracking features one would expect docs to cover for an issue tracker. Nothing here cites Linear's sub-issue or relation functionality, so this applicable axis is unsupported by the given evidence.", "evidenceIds": [] }, { "productId": "linear", "storyId": "third-party-app-marketplace", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear ships a documented integrations/app directory (GitHub, Slack, Figma, Salesforce, Sentry, Datadog, Notion, Airbyte, Fivetran, Cursor, ChatGPT, Claude, Jira migration, etc.), an OAuth app creation flow, and admin-level third-party app approval controls, which together function like a marketplace for connecting external tools. However, the evidence shows a curated directory of a few dozen named integrations plus a general public GraphQL/OAuth API for building custom ones, not literally 'thousands' of pre-built marketplace apps as the story implies. Missing for 10: evidence of marketplace scale (thousands of listed apps), a searchable public app store UI, and independent confirmation of ecosystem breadth beyond Linear's own docs.", "evidenceIds": [ "linear-docs-80", "linear-docs-81", "linear-docs-82", "linear-docs-83", "linear-docs-84", "linear-docs-85", "linear-docs-86", "linear-intdir-3", "linear-intdir-8", "linear-intdir-11", "linear-intdir-12", "linear-intdir-13", "linear-intdir-15", "linear-docs-73", "linear-docs-42" ] }, { "productId": "linear", "storyId": "time-tracking", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack mentions time tracking, time logging, or timesheet functionality against tasks/projects in Linear; the evidence focuses on issue tracking, agents, coding sessions, and planning features.", "evidenceIds": [] }, { "productId": "linear", "storyId": "unified-workspace-search", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation or community commentary about a search feature spanning issues, docs, and comments, nor any claims about speed or accuracy of such search — only filtering/view-sharing and speed-of-loading tickets are mentioned, which is a different capability.", "evidenceIds": [] }, { "productId": "linear", "storyId": "visual-whiteboard-collaboration", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Linear is an issue tracker/project management and AI-agent workflow tool; a shared visual whiteboard for design collaboration is entirely outside its product category and not offered even tangentially in the evidence.", "evidenceIds": [] }, { "productId": "linear", "storyId": "workflow-run-overage-fees", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Linear's docs publish exact per-auth-type API rate limits, response headers (e.g. X-RateLimit-Requests-Limit) and a leaky-bucket refill model, and separately allow admins to set spend limits for AI agent/automation usage that reset periodically — together these give a user real visibility into automation/API limits. However, the pack doesn't explicitly spell out the concrete consequence of exceeding a limit (e.g. exact 429 throttling behavior, whether overages incur extra charges, or a hard stop for automation/Loops usage), so the full 'what happens when I exceed' picture is only partially documented. Missing for 10: explicit statement of throttling/error response code, confirmation of no/optional overage billing, and documented consequence for exceeding automation (Loops/agent) usage specifically rather than just spend caps.", "evidenceIds": [ "linear-supp-rate-limits", "linear-docs-3" ] }, { "productId": "monday", "storyId": "agent-session-checkpoint-restore", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence of any session/checkpoint versioning or restore capability for monday's AI agents; docs cover connectivity, scopes, sandboxing, and audit logging but never mention rollback or history checkpoints.", "evidenceIds": [] }, { "productId": "monday", "storyId": "agent-toolchain-autoprovisioning", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "monday.com is a work-management/automation platform with AI agents operating within its own app framework, not a coding agent that installs toolchains/dependencies for development tasks — this axis is a category error for this product type.", "evidenceIds": [] }, { "productId": "monday", "storyId": "agent-visual-regression-verification", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "This story targets coding-agent self-verification via browser navigation and screenshot diffing — a capability relevant to coding assistants/IDE agents, not a work-management/automation platform like monday.com. Monday's evidence covers building custom workflow agents, MCP integration, and app-framework UI components, but nothing about agents navigating and visually verifying their own implementation.", "evidenceIds": [] }, { "productId": "monday", "storyId": "agentic-agent-docs", "verdict": "partial", "quality": 6, "confidence": "high", "rationale": "monday.com has extensive agent-oriented developer documentation (MCP server docs, agent APIs, webhooks, scopes) confirmed by both docs and a probe verifying the MCP docs page exists, but a direct probe shows no llms.txt file is served (404), so the specific 'point an agent at llms.txt' capability is absent even though broader agent-oriented docs exist. missing for 10: a working llms.txt endpoint, independent confirmation that agent-oriented docs are consumable/structured for LLM ingestion.", "evidenceIds": [ "monday-probe-1", "monday-probe-2", "monday-docs-1", "monday-docs-17" ] }, { "productId": "monday", "storyId": "agentic-ai-insights", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Docs claim AI agents can surface deep intelligence, actionable insights, risk/progress gap detection, and automated reports/summaries directly in monday (docs-20, docs-21, docs-22, docs-23, docs-32), which matches the story of in-product AI-generated insights. However, evidence is entirely vendor marketing copy with no independent/hands-on validation of insight quality or accuracy, and community feedback focuses on performance/UX issues rather than AI insight capability. Missing for 10: independent verification of insight quality, concrete examples/screenshots of generated insights, and hands-on user reports confirming the feature works as described.", "evidenceIds": [ "monday-docs-20", "monday-docs-21", "monday-docs-22", "monday-docs-23", "monday-docs-32" ] }, { "productId": "monday", "storyId": "agentic-autonomous-automation", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "monday.com documents native automations (event triggers like create_item/change_column_value, real-time listeners), plus AI agents that run in isolated sandboxes managed by monday, scoped with permissions, audited, and triggered autonomously by mentions/assignments or scheduled reports (status updates on a set schedule). This directly supports background/autonomous automation setup. Missing for 10: independent/hands-on verification of autonomous background execution reliability and no community corroboration of agent-based automations specifically (community evidence is generic negative sentiment unrelated to this feature).", "evidenceIds": [ "monday-docs-5", "monday-docs-7", "monday-docs-9", "monday-docs-10", "monday-docs-13", "monday-docs-15", "monday-docs-21", "monday-docs-27", "monday-docs-39" ] }, { "productId": "monday", "storyId": "agentic-builtin-assistant", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "monday.com offers built-in AI agents that can be messaged, assigned items, and @mentioned to perform real work directly within the product ('Talk to agents like teammates... assign them items'), with docs describing creating custom agents via natural language and managing them from an admin dashboard. Community evidence is generic product criticism unrelated to the AI assistant feature, so it doesn't dispute this capability. Missing for 10: independent hands-on verification of agent quality/reliability and no third-party review of the assistant feature specifically.", "evidenceIds": [ "monday-docs-11", "monday-docs-13", "monday-docs-14", "monday-docs-19", "monday-docs-10", "monday-docs-39" ] }, { "productId": "monday", "storyId": "agentic-headless", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "monday.com exposes a GraphQL API, SDKs, webhooks, and lets you 'run and manage every monday agent programmatically from your own code, anywhere you need it' (monday-docs-9, monday-docs-35, monday-docs-28), which supports scripted/headless automation. However there is no explicit documentation of CI/CD integration, headless test runners, or pipeline examples, and no independent verification that these APIs work reliably in automated pipelines. Missing for 10: explicit CI/CD documentation or examples, independent/hands-on confirmation of headless operation, and any mention of exit codes/scriptable non-interactive workflows.", "evidenceIds": [ "monday-docs-9", "monday-docs-35", "monday-docs-28", "monday-docs-5", "monday-docs-17" ] }, { "productId": "monday", "storyId": "agentic-mcp-client", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence shows monday.com exposing its own hosted/developer MCP server so external agents (Claude, ChatGPT, etc.) can connect to monday, and monday's agents can be reached via multiple channels including 'our MCP' — this is monday acting as an MCP server/provider, not monday consuming third-party MCP servers to extend its own agents' toolset. There is no documentation of monday's agents importing or plugging in external MCP servers as tool sources.", "evidenceIds": [ "monday-docs-1", "monday-docs-2", "monday-docs-12", "monday-docs-17", "monday-probe-2" ] }, { "productId": "monday", "storyId": "agentic-mcp-server", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Monday.com documents an official hosted MCP server with a dedicated docs page (confirmed by probe) plus first-party guidance on connecting agents from Claude, ChatGPT, etc. via this MCP endpoint, granular scopes, and managed secrets. Missing for 10: independent/hands-on third-party verification that the MCP server works as documented in practice.", "evidenceIds": [ "monday-docs-1", "monday-docs-2", "monday-docs-17", "monday-docs-30", "monday-probe-2" ] }, { "productId": "monday", "storyId": "agentic-nl-commands", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "monday.com documents natural-language operation extensively: users can message, assign, and @mention agents in plain language to kick off real work, and can describe entire workflows in their own words to create agents. This directly matches the story of operating the product via natural-language commands. Missing for 10: independent/hands-on verification that NL commands reliably produce correct actions, and more detail on limits of NL understanding beyond marketing copy.", "evidenceIds": [ "monday-docs-11", "monday-docs-14", "monday-docs-19", "monday-docs-39" ] }, { "productId": "monday", "storyId": "agentic-official-cli", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers monday's APIs, SDKs, MCP servers, and apps framework, but nowhere mentions an official CLI tool for developers or AI-native workflows. Since a platform of this kind could plausibly offer a CLI, absence of evidence means the axis is unmet rather than inapplicable.", "evidenceIds": [] }, { "productId": "monday", "storyId": "agentic-public-api", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "monday.com documents a full GraphQL API (monday-docs-35), SDKs (monday-docs-28), granular OAuth scopes and secret storage (monday-docs-6), webhooks/event subscriptions (monday-docs-7, monday-docs-27), and an official MCP server (monday-probe-2) alongside apps framework docs — giving AI-native users multiple documented, programmatic ways to drive the product. Missing for 10: no independent/hands-on developer corroboration of API robustness or reliability beyond first-party docs.", "evidenceIds": [ "monday-docs-35", "monday-docs-28", "monday-docs-6", "monday-docs-7", "monday-docs-27", "monday-probe-2", "monday-docs-9" ] }, { "productId": "monday", "storyId": "agentic-scoped-keys", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Docs explicitly describe requesting granular scopes (e.g. boards:read), storing keys in managed secret storage, admin-level scoping of each agent's board access, and audit logging of every action — directly matching scoped/least-privilege credential issuance for agents. Missing for 10: no independent/hands-on verification of scope granularity or credential rotation, and no detail on token expiry/revocation workflows.", "evidenceIds": [ "monday-docs-6", "monday-docs-10", "monday-docs-16" ] }, { "productId": "monday", "storyId": "agentic-sdks", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Monday documents official SDKs/tooling for AI-native builders: a GraphQL API, an 'apps framework' for code-first development, an open-source React component library (Vibe) for native-looking UI, and a documented developer MCP server for scaffolding/deploying agents. Together these constitute a real official SDK/toolchain for building AI-native apps and agents on the platform. Missing for 10: independent/hands-on developer corroboration of SDK quality or adoption, and llms.txt returns 404 suggesting incomplete AI-facing doc tooling.", "evidenceIds": [ "monday-docs-35", "monday-docs-28", "monday-docs-2", "monday-docs-4", "monday-docs-25", "monday-docs-17", "monday-probe-2", "monday-probe-1" ] }, { "productId": "monday", "storyId": "agentic-webhooks", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Docs explicitly describe webhook subscriptions to real-time board events (create_item, change_column_value, etc.) plus agent-triggering webhooks, backed by a GraphQL API for integration. Missing for 10: independent/hands-on verification of webhook reliability and payload details beyond vendor docs.", "evidenceIds": [ "monday-docs-7", "monday-docs-27", "monday-docs-15", "monday-docs-35" ] }, { "productId": "monday", "storyId": "ai-answer-with-citations", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence covers AI agents, integrations, MCP, and automation but nothing describes a workspace Q&A feature where a user asks a question and receives an answer with citations back to specific workspace content. Vague phrases like 'Surface deep intelligence and actionable insights' or 'Spot risks and progress gaps' do not describe citation-backed instant answers.", "evidenceIds": [] }, { "productId": "monday", "storyId": "ai-auto-draft-updates", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "monday.com's own docs explicitly describe automating status updates and performance reports on a schedule, plus AI agents surfacing insights and spotting progress gaps, directly matching the story of AI drafting status updates from activity. Missing for 10: independent/hands-on verification of output quality and more detail on exactly how 'recent activity' data feeds into the drafted update.", "evidenceIds": [ "monday-docs-21", "monday-docs-22", "monday-docs-20" ] }, { "productId": "monday", "storyId": "ai-auto-triage-bugs", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "monday.com documents AI agents that can be assigned items, triggered on item creation/column changes, and used to \"spot risks and progress gaps\" or manage support tickets via Zendesk integration, which supports building an automated triage-like workflow, but there is no explicit documentation of an out-of-the-box 'triage and prioritize bugs' capability or example. missing for 10: a concrete bug/task triage workflow example, explicit prioritization logic, and independent/hands-on evidence that this works in practice.", "evidenceIds": [ "monday-docs-7", "monday-docs-11", "monday-docs-15", "monday-docs-22", "monday-docs-27", "monday-docs-36" ] }, { "productId": "monday", "storyId": "ai-guided-code-review-explanations", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "monday.com is a work-management/automation platform with agent-building and integration features (e.g., GitHub/GitLab PR linking), not a code-review or diff-analysis tool; breaking down code diffs into explained sections is outside its product category.", "evidenceIds": [] }, { "productId": "monday", "storyId": "ai-personalized-assistant", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence describes monday's AI agents/automation framework (agent creation, MCP, integrations, admin scoping) but nothing about the assistant learning a user's tone, shorthand, or writing preferences to tailor output. Missing for 10: any mention of personalization/memory of user style, adaptive tone learning, or preference-based output customization.", "evidenceIds": [] }, { "productId": "monday", "storyId": "api-interactive-docs", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence shows monday has a GraphQL API and developer docs, but there is no mention of an interactive API reference, playground, or runnable code examples anywhere in the pack.", "evidenceIds": [ "monday-docs-35", "monday-probe-1" ] }, { "productId": "monday", "storyId": "api-machine-spec", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "monday documents an expressive GraphQL API for developers with public developer docs, which serves as a machine-readable/documented spec analog for programmatic access, though it's GraphQL rather than a formal OpenAPI/REST spec download. missing for 10: an explicit downloadable OpenAPI/Swagger file or schema export, and independent confirmation of spec completeness.", "evidenceIds": [ "monday-docs-35", "monday-docs-28" ] }, { "productId": "monday", "storyId": "api-sandbox", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Docs mention that agents deploy to 'isolated sandboxes monday manages' and that versions can be scaffolded and promoted from chat, implying a dev/test environment separate from production infra, but there is no explicit description of a sandbox for testing against non-production data or verification this isolation covers board/data-level testing. missing for 10: explicit sandbox/staging environment for data testing, independent or hands-on confirmation that production data is untouched.", "evidenceIds": [ "monday-docs-5", "monday-docs-17" ] }, { "productId": "monday", "storyId": "api-versioning-policy", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack describes monday's GraphQL API, apps framework, and MCP integrations but contains no mention of API versioning scheme or a documented deprecation policy for its APIs. Missing for 10: explicit versioning scheme documentation, deprecation policy/timeline, changelog or migration guides.", "evidenceIds": [] }, { "productId": "monday", "storyId": "audit-log-admin-controls", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Docs mention admins can 'audit every action' an AI agent takes as part of agent governance, implying some audit logging exists, but there's no evidence of a general admin audit log covering all user/workspace actions (logins, permission changes, item edits) as a PM would expect for security review. missing for 10: evidence of a comprehensive audit log covering human user actions across the workspace, not just AI agent activity; independent/hands-on confirmation of audit log usability.", "evidenceIds": [ "monday-docs-10" ] }, { "productId": "monday", "storyId": "auto-generate-release-changelogs", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "monday.com is a work OS/project management platform, not a source-control or release-management tool; auto-generating changelogs from code releases is outside its product category and not a fair axis for it.", "evidenceIds": [] }, { "productId": "monday", "storyId": "automation-bulk-operations", "verdict": "disputed", "quality": 4, "confidence": "low", "rationale": "monday's GraphQL API, webhooks, and automation triggers (create_item, change_column_value) suggest programmatic bulk item manipulation is possible, but there's no explicit documentation of a batch/bulk operations endpoint, and independent hands-on reports describe the platform struggling and crashing once boards exceed a few thousand items (up to ~20k before failure), directly undercutting claims of smooth operation 'across many items at once'. Missing for 10: explicit bulk/batch API documentation, evidence of large-scale (10k+) item operations succeeding, and any first-party rebuttal to the scaling complaints.", "evidenceIds": [ "monday-docs-35", "monday-docs-7", "monday-docs-27", "monday-comm-8" ] }, { "productId": "monday", "storyId": "automation-rules-engine", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "monday.com's automation engine and agent framework support event-based triggers (create_item, change_column_value, real-time events, agent mentions/assignments) that fire automated actions, well documented across native automations and the developer platform. missing for 10: independent/hands-on verification of rule complexity and reliability at scale, and clearer detail on conditional logic depth beyond simple trigger-action pairs.", "evidenceIds": [ "monday-docs-7", "monday-docs-15", "monday-docs-27", "monday-docs-13", "monday-docs-21", "monday-docs-31" ] }, { "productId": "monday", "storyId": "automation-scheduled-jobs", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "monday's docs mention scheduled automation only in the narrow context of status updates and performance reports ('Automate status updates and performance reports on a set schedule'), which supports recurring job scheduling but doesn't document a general-purpose recurring workflow/job scheduler for arbitrary AI-native automations. Missing for 10: explicit cron-like scheduling API/UI for arbitrary workflows, examples of recurring agent tasks beyond reporting, and independent confirmation of reliability at scale.", "evidenceIds": [ "monday-docs-21", "monday-docs-9", "monday-docs-13" ] }, { "productId": "monday", "storyId": "automation-versioned-workflows", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence covers agent building, deployment, MCP connectivity, and app scaffolding (with 'promote versions from chat' hinting at some deployment lifecycle), but there is no mention of automation version history, review workflows, diffing, or rollback of automations. No documented capability to revert an automation to a prior version.", "evidenceIds": [] }, { "productId": "monday", "storyId": "code-repo-issue-sync", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence of a bi-directional sync with GitHub/GitLab/Jira-style issue trackers; docs focus on agents, MCP hosting, and generic integrations but never mention repo issue-tracker sync specifically.", "evidenceIds": [] }, { "productId": "monday", "storyId": "cross-platform-context-handoff", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "monday.com documents one persistent agent identity reachable across Slack, WhatsApp, Telegram, Make, MCP, and API 'no rebuilding per channel' (monday-docs-12), plus 2-way sync, webhooks, a unified Models API, and an official MCP server (monday-docs-1, monday-docs-2, monday-docs-17, monday-docs-31, monday-probe-2) that together support handing off work/context between tools and agents. Missing for 10: independent/hands-on verification that context is actually preserved across handoffs (all evidence is vendor docs), and no case study showing a real multi-tool handoff working end-to-end.", "evidenceIds": [ "monday-docs-12", "monday-docs-1", "monday-docs-2", "monday-docs-17", "monday-docs-31", "monday-probe-2", "monday-docs-9" ] }, { "productId": "monday", "storyId": "cross-team-dependency-tracking", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation of dependency-tracking features (e.g., linked items, dependency columns, Gantt/timeline views) that would let a PM coordinate cross-team dependencies; nearly all monday-docs items focus on AI agents/MCP integration, unrelated to planning dependencies. One community comment (monday-comm-4) explicitly states 'Linking tickets to one another in Monday is really bad, data gets lost all the time,' which is negative anecdotal evidence but there's no vendor claim of dependency tracking to formally dispute. Missing for 10: any first-party documentation of dependency/linking features, timeline/Gantt views, or cross-team coordination workflows, and any positive hands-on evidence of this capability working.", "evidenceIds": [ "monday-comm-4" ] }, { "productId": "monday", "storyId": "cross-tool-task-aggregation", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack focuses entirely on monday's AI agent framework, MCP hosting, and integration channels for building agents—none of it describes a unified cross-tool task view pulling assigned tasks from multiple external project management tools (e.g., Jira, Asana, Trello) into one dashboard for an engineer. No integration or aggregation feature matching this story is documented.", "evidenceIds": [] }, { "productId": "monday", "storyId": "custom-agent-builder", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "monday's docs describe a dedicated agent-building capability: defining goals/rules in natural language, describing workflows to create custom agents, scoping board access, hosting/sandboxing, granular permissions, and monitoring via an admin dashboard (monday-docs-13, 14, 10, 5, 6, 9). This directly matches the story of building/configuring a custom AI agent within the product. Missing for 10: independent or hands-on verification that the agent builder works as described in practice, and detail on customization limits/complexity for non-technical users.", "evidenceIds": [ "monday-docs-13", "monday-docs-14", "monday-docs-9", "monday-docs-10", "monday-docs-5", "monday-docs-6" ] }, { "productId": "monday", "storyId": "custom-dashboard-widgets", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "monday's developer docs explicitly support building custom board/item views, dashboard widgets, and full-page apps, and provide the Vibe React component library specifically to make custom UI 'look native instantly.' However, evidence is limited to vendor docs with no independent/hands-on corroboration of designer experience building these views, and community feedback focuses on core product usability rather than the custom-view/widget building workflow itself. Missing for 10: independent or hands-on verification of the widget-building experience, and details on design constraints/limitations designers encounter when building native-feeling views.", "evidenceIds": [ "monday-docs-3", "monday-docs-4", "monday-docs-18" ] }, { "productId": "monday", "storyId": "custom-fields-workflows", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack is dominated by AI-agent, MCP, and developer-platform documentation and contains no first-party or hands-on evidence describing monday.com's native field/column customization or workflow status editing capabilities for boards. While this is a fair axis for a work-management product, nothing in the pack concretely documents the ability to customize fields or workflow statuses, so it cannot be credited despite being a plausible feature.", "evidenceIds": [] }, { "productId": "monday", "storyId": "dashboard-reporting", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Monday's own docs explicitly state you can build custom dashboard widgets and views (monday-docs-3) and automate status/performance reporting (monday-docs-21) and surface risk/progress insights (monday-docs-22), directly matching the PM reporting story. However, there is no independent or hands-on validation of dashboard widget usability, and community reports describe severe performance degradation with large boards (thousands of items) which could undermine dashboard reliability at scale. missing for 10: independent corroboration of dashboard-building workflow, evidence dashboards remain performant/usable at scale, concrete examples of widget types used for reporting.", "evidenceIds": [ "monday-docs-3", "monday-docs-21", "monday-docs-22", "monday-comm-8" ] }, { "productId": "monday", "storyId": "design-tool-sync", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence lists many integrations (Salesforce, GitHub, Slack, Zendesk, communication tools) and a general integrations marketplace, but nothing mentions Figma, Adobe XD, Sketch, or any design-tool-specific integration that would let a designer update project status directly from their design tool.", "evidenceIds": [ "monday-docs-29", "monday-docs-38", "monday-intdir-1", "monday-intdir-2", "monday-intdir-3" ] }, { "productId": "monday", "storyId": "full-history-export-fidelity", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention workspace export functionality, or preservation of comments, attachments, or audit trails during export; all documentation focuses on agents, integrations, and MCP servers. Missing for 10: any documentation of an export feature, evidence of what data (comments/attachments/audit logs) is retained, and any hands-on or community confirmation of export fidelity.", "evidenceIds": [] }, { "productId": "monday", "storyId": "granular-permission-roles", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack only discusses scoping and auditing AI agent board access (e.g., monday-docs-10, monday-docs-6) and general integration/security certifications, but contains no evidence of human-facing granular roles/permissions (viewer/editor/guest, board-level access control) that a product manager would assign to team members. Missing for full credit: documentation of user role types, board/item permission settings, or admin controls for human collaborators.", "evidenceIds": [] }, { "productId": "monday", "storyId": "guided-first-time-setup", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers monday's developer platform, AI agents, and integrations but contains no mention of a guided onboarding walkthrough or first-time workspace setup flow for engineers. One community comment (monday-comm-10) even notes the product 'required too much setup and customization,' but this is not concrete counter-evidence of a documented walkthrough claim—there simply is no walkthrough feature evidenced.", "evidenceIds": [ "monday-comm-10" ] }, { "productId": "monday", "storyId": "import-from-other-tools", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Evidence shows monday.com offers many third-party integrations (Salesforce, HubSpot, Zendesk, GitHub, etc.) and flexible APIs/SDKs that could be used to move data in from other tools, but there is no explicit mention of an import wizard, CSV import, or dedicated 'migrate from X' onboarding flow for switching PMs. Missing for 10: explicit import/migration tooling (e.g., CSV/board import, one-click migration from competitor PM tools), independent confirmation that data import actually works smoothly during onboarding.", "evidenceIds": [ "monday-docs-29", "monday-docs-31", "monday-docs-38", "monday-intdir-1", "monday-intdir-2", "monday-docs-28" ] }, { "productId": "monday", "storyId": "in-app-team-chat", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "monday.com's 'Updates' feature (message, @mention, assign items 'in any conversation') is documented as a native in-item communication mechanism, and the platform also integrates with Slack/Teams/Gmail for broader team chat, suggesting engineers can converse without leaving the work-planning surface. However, the evidence pack frames this messaging capability almost entirely around AI agents rather than human-to-human team chat, and no first-party or independent source describes robust native person-to-person chat/threads as a core UX pillar. Missing for 10: explicit documentation of human team chat/threads within boards, independent corroboration of real-time chat usability, and evidence it's used as a primary chat tool rather than via external integrations.", "evidenceIds": [ "monday-docs-11", "monday-docs-19", "monday-intdir-3", "monday-docs-37" ] }, { "productId": "monday", "storyId": "initiative-status-tracking", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation of monday.com's core board features (status columns, priority columns, owner/people columns) for tracking initiatives; nearly all provided evidence concerns the AI-agent/developer platform (MCP, agents, apps framework) rather than basic work-tracking functionality. Community evidence only speaks to general usability complaints, not specifically to status/priority/owner tracking.", "evidenceIds": [] }, { "productId": "monday", "storyId": "inline-comments-on-content", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item mentions commenting on specific text or images within an item's description; all documentation focuses on agents, integrations, boards, and infrastructure rather than inline commenting/annotation features.", "evidenceIds": [] }, { "productId": "monday", "storyId": "interface-rate-limit-disclosure", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item documents specific API rate limits, request quotas, or concurrency caps for monday's GraphQL API, MCP server, or agent platform; docs mention general scopes and secret storage but never numeric or documented limits.", "evidenceIds": [] }, { "productId": "monday", "storyId": "large-workspace-performance-limits", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No vendor documentation addresses item caps or performance benchmarks at scale; the only relevant evidence is a hands-on community report stating boards would 'struggle and finally crash after a few thousand items,' capping usable scale around 20k items, directly contradicting the story rather than supporting it.", "evidenceIds": [ "monday-comm-8", "monday-comm-1", "monday-comm-7" ] }, { "productId": "monday", "storyId": "mobile-app-parity", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention a native mobile app or any mobile-specific functionality/parity claims; all docs focus on web platform, APIs, agents, and integrations. Community comments discuss performance/usability issues on the general product but say nothing about mobile app feature parity.", "evidenceIds": [] }, { "productId": "monday", "storyId": "mobile-code-review-with-agent", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "monday.com is a work management/automation platform, not a coding tool; there is no evidence of code review, diffs, or line-by-line commenting on code changes from a mobile app. This story is a category error for this product type.", "evidenceIds": [] }, { "productId": "monday", "storyId": "multiple-project-views", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack only mentions building custom board/item views and dashboard widgets (developer platform for apps), not the native ability to toggle a single board's data between board, list, calendar, and timeline layouts. No citation confirms this specific multi-view switching capability.", "evidenceIds": [] }, { "productId": "monday", "storyId": "native-integration-hub", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "monday.com documents native integrations for Slack, GitHub/GitLab, and Google (Drive/Calendar/Gmail) via its integrations directory, plus a broader library of 850+ apps/integrations and GraphQL API/webhooks for custom connections. Community evidence criticizes general performance/UX but does not contradict integration functionality specifically. Missing for 10: independent hands-on verification of these specific native connectors and any noted integration-specific limitations.", "evidenceIds": [ "monday-intdir-2", "monday-intdir-3", "monday-docs-29", "monday-docs-30", "monday-docs-37", "monday-docs-38" ] }, { "productId": "monday", "storyId": "no-code-automation-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "monday.com's docs describe automation recipes (triggers like create_item/change_column_value, scheduled reports, agent assignment flows) that let a PM configure multi-step automations without code, and its no-code automation builder is a well-known core feature referenced via triggers/subscriptions. However, the evidence pack is heavily focused on the newer AI-agent/developer platform rather than the classic drag-and-drop automation board builder itself, and community feedback raises usability/reliability concerns that could affect building complex automations at scale. missing for 10: direct documentation of the classic visual automation recipe builder UI, independent hands-on validation of multi-step automation reliability, and confirmation that no coding is required for complex branching logic.", "evidenceIds": [ "monday-docs-7", "monday-docs-15", "monday-docs-21", "monday-docs-13", "monday-comm-8" ] }, { "productId": "monday", "storyId": "openness-api-parity", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "monday's GraphQL API, webhooks, granular scopes, and apps/MCP framework show broad programmatic access to boards, items, columns, and events, suggesting extensive API coverage of UI actions. However, there is no explicit claim or evidence that every UI capability (e.g., all board customizations, dashboard widgets, admin settings) is exposed via API, and no independent verification of API-UI parity. missing for 10: explicit vendor statement of full API/UI parity, independent test confirming coverage of edge-case UI features.", "evidenceIds": [ "monday-docs-35", "monday-docs-6", "monday-docs-7", "monday-docs-27", "monday-docs-28", "monday-docs-9" ] }, { "productId": "monday", "storyId": "openness-full-export", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of a bulk data export feature, open-format export (CSV/JSON backup), or account portability tooling — only a GraphQL API for programmatic integration, which is not the same as a documented 'export everything and leave' capability. missing for 10: explicit data export/backup feature, open-format (CSV/JSON) full-account export documentation, any statement about data portability or account closure export.", "evidenceIds": [ "monday-docs-35", "monday-docs-28" ] }, { "productId": "monday", "storyId": "openness-open-license", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "monday.com is a closed-source SaaS product; the only open-source item mentioned is 'Vibe' (a UI component library), not the core product's source code. No evidence of the platform's source being available under an open license.", "evidenceIds": [] }, { "productId": "monday", "storyId": "openness-self-host", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "monday.com is explicitly a managed SaaS/cloud platform — docs state agents and apps run on monday-managed infra ('Your syncs and tools run on our infra, not yours', 'Your data never leaves our secure servers') with no mention of any self-hosted deployment option. No evidence of a self-hostable core product exists in the pack.", "evidenceIds": [ "monday-docs-5", "monday-docs-16", "monday-docs-26" ] }, { "productId": "monday", "storyId": "portfolio-progress-rollup", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack is almost entirely about monday's AI agents, MCP/developer platform, and third-party integrations, with no documentation of a portfolio-level rollup view aggregating progress across multiple projects/boards. General integration claims (e.g., monday-docs-33) refer to cross-platform data sync, not a PM-facing portfolio dashboard.", "evidenceIds": [] }, { "productId": "monday", "storyId": "prebuilt-project-templates", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no mention of pre-built project templates, template galleries, or quick-start project setups for product managers; all docs items focus on AI agents, integrations, and developer/MCP features. missing for 10: any documentation of a template library, template selection during board/project creation, or industry-specific templates.", "evidenceIds": [] }, { "productId": "monday", "storyId": "privacy-data-residency", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence mentions general infra security certifications (SOC2, HIPAA, ISO27001) and that data stays on monday's servers, but there is no mention of any region/data-residency selection option for customers. missing for 10: any documentation of selectable data regions, residency controls, or data-locality options.", "evidenceIds": [ "monday-docs-16", "monday-docs-26" ] }, { "productId": "monday", "storyId": "privacy-no-training", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item addresses opting out of AI model training or data usage policies for AI training; documentation covers security certifications (SOC2/HIPAA/ISO) and agent infrastructure but never mentions training data controls or opt-out mechanisms. Missing for 10: explicit AI training opt-out policy, data usage terms for model training, any admin toggle or contractual guarantee against training use.", "evidenceIds": [] }, { "productId": "monday", "storyId": "privacy-retention-controls", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence addresses data retention policies, deletion controls, or user ability to purge AI-related data; docs mention secure infra/compliance certifications but not retention/deletion controls specifically.", "evidenceIds": [] }, { "productId": "monday", "storyId": "privacy-telemetry-optout", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses telemetry opt-out or usage-tracking controls for AI-native users; docs cover security/compliance certifications but not user-facing telemetry settings. Missing for 10: any documentation of a telemetry/usage-tracking toggle or opt-out mechanism.", "evidenceIds": [] }, { "productId": "monday", "storyId": "private-restricted-teams", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack discusses private sub-teams, member-level board restrictions, or team-based access controls within monday.com's workspace/board permission model; all evidence pertains to AI agents, MCP, integrations, or general product sentiment.", "evidenceIds": [] }, { "productId": "monday", "storyId": "public-status-page-uptime-sla", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item mentions an uptime SLA or a public status page for monday.com; all docs relate to integrations, agents, and infra certifications, not incident transparency. missing for 10: published uptime SLA, public status page URL, real-time incident history.", "evidenceIds": [] }, { "productId": "monday", "storyId": "realtime-collaborative-updates", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation or claims about real-time sync of board changes across open sessions; all monday-docs items concern the AI agent/developer platform (MCP, webhooks, agents), not live collaborative UI updates. Community evidence discusses performance/slowness but not specifically real-time refresh behavior, so there's no basis to confirm the capability.", "evidenceIds": [] }, { "productId": "monday", "storyId": "rule-based-automation-builder", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Evidence shows trigger/event subscriptions (create_item, change_column_value) and scheduled automations for status updates/reports, which map to trigger-and-action rules, but the pack lacks documentation of monday's classic no-code Automations recipe builder (e.g., cross-board triggers, conditional actions, integration recipes) that engineers would typically use. Missing for 10: dedicated automation-builder documentation, examples of multi-step conditional recipes, and independent/hands-on validation that these rules reliably eliminate manual steps.", "evidenceIds": [ "monday-docs-7", "monday-docs-15", "monday-docs-21" ] }, { "productId": "monday", "storyId": "saved-filtered-views", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no mention of saved filtered views, view sharing, or shareable links for board/item views — all docs entries focus on AI agents, MCP, integrations, and APIs. This is a fair planning-tracking capability for a work OS product, but nothing in the pack demonstrates it.", "evidenceIds": [] }, { "productId": "monday", "storyId": "scheduled-recurring-workflows", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Docs show scheduled automation for reports/status updates and event-based triggers (webhooks on create_item, change_column_value, agent mentions), which together support building recurring/scheduled workflows for routine work. However, evidence doesn't detail monday's core automation recipe builder, cron-style scheduling controls, or monitoring/error-handling for these workflows. Missing for 10: detailed schedule configuration UI/API, recipe builder specifics, failure/retry handling, and independent confirmation of reliability at scale.", "evidenceIds": [ "monday-docs-21", "monday-docs-7", "monday-docs-15" ] }, { "productId": "monday", "storyId": "seat-minimum-billing-policy", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack addresses seat minimums or annual billing commitment terms; only a Free-plan credit-card mention is present, which does not answer the story's question about seat/billing enforcement.", "evidenceIds": [] }, { "productId": "monday", "storyId": "shared-docs-knowledge-base", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers monday's AI agents, integrations, MCP, and developer platform extensively, but contains no mention of a native Docs or notes feature for organizing shared documents alongside project boards. Absence of evidence for this applicable capability yields 'none'.", "evidenceIds": [] }, { "productId": "monday", "storyId": "signed-commits-for-agent-sessions", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "monday.com is a work management/automation platform, not a code/version-control tool; commit signing with SSH/GPG keys is an axis about source-code commit provenance that doesn't apply to this product category.", "evidenceIds": [] }, { "productId": "monday", "storyId": "sprint-planning", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of sprint planning, backlog management, story points, or agile-specific board templates for monday.com; it only covers AI-agent/MCP features, generic board views, and integrations (e.g., GitHub/GitLab PR linking) that don't address sprint/agile workflow support. Absence of evidence for this applicable planning-tracking capability means it cannot be credited as delivered.", "evidenceIds": [] }, { "productId": "monday", "storyId": "sso-saml-login", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention SSO, SAML, identity providers, or authentication standards for organizational access; all docs focus on agents, MCP, integrations, and infra certifications (SOC 2, HIPAA, ISO 27001) rather than SSO/SAML specifically. Missing for 10: any documentation of SSO/SAML support, identity provider integration (Okta, Azure AD, etc.), or admin configuration for enterprise authentication.", "evidenceIds": [] }, { "productId": "monday", "storyId": "support-response-time-by-tier", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack mentions support response times, SLAs, or tiered support commitments for any monday.com plan; the evidence covers product features, integrations, and community sentiment unrelated to support SLAs.", "evidenceIds": [] }, { "productId": "monday", "storyId": "task-creation-assignment", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation or community reports describing monday.com's core item/task creation, assignee, or due-date fields — nearly all first-party docs here focus on AI agents/MCP integration rather than basic task management, and community comments only vaguely reference 'items' and 'tickets' without confirming assignment/due-date workflows. missing for 10: docs on creating items with owner/assignee columns, due-date column functionality, and any confirmation of this core PM workflow.", "evidenceIds": [ "monday-comm-9", "monday-comm-4" ] }, { "productId": "monday", "storyId": "task-dependencies-subtasks", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack contains no documentation of subtask creation or dependency/blocking-order linking features (all docs items focus on AI agents, MCP, and integrations). The only relevant evidence is a community complaint that 'linking tickets to one another in Monday is really bad, data gets lost all the time' (monday-comm-4), which is negative rather than confirmatory, and there is no vendor claim in this pack to set up a dispute.", "evidenceIds": [ "monday-comm-4" ] }, { "productId": "monday", "storyId": "third-party-app-marketplace", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "monday.com documents an app marketplace/integrations directory with 850+ apps and integrations (Salesforce, Slack, GitHub, Zendesk, etc.), no-code connection options, and flexible APIs/SDKs for custom integrations, directly matching the story. Community evidence cited is about general UI performance/usability complaints, not integrations, so it does not contradict this axis. Missing for 10: independent third-party verification of the marketplace's breadth/quality beyond vendor claims.", "evidenceIds": [ "monday-docs-29", "monday-docs-38", "monday-docs-28", "monday-intdir-1", "monday-intdir-2", "monday-intdir-3", "monday-docs-31", "monday-docs-36" ] }, { "productId": "monday", "storyId": "time-tracking", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence in the pack mentions time tracking, time logging columns, or timesheet features against tasks/projects; all citations focus on AI agents, integrations, and app-building framework. Missing for 10: any mention of a time-tracking column, timer widget, or timesheet reporting feature.", "evidenceIds": [] }, { "productId": "monday", "storyId": "unified-workspace-search", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack contains no mention of a search feature spanning tasks, docs, and comments, nor any performance/accuracy claims about search; instead it focuses on integrations, AI agents, and developer platform features. Search is a fair and applicable axis for a work management tool, but no supporting evidence exists here.", "evidenceIds": [] }, { "productId": "monday", "storyId": "visual-whiteboard-collaboration", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "monday.com is a work management/automation platform; there is no evidence of a shared visual whiteboard collaboration feature, and this axis (visual whiteboarding) is a category mismatch for the product's core purpose (boards/items/workflow automation, not freeform visual canvases).", "evidenceIds": [] }, { "productId": "monday", "storyId": "workflow-run-overage-fees", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item discusses plan limits, rate limits, overage charges, throttling behavior, or hard stops for automation/API usage—only feature and integration descriptions are present.", "evidenceIds": [] }, { "productId": "notion", "storyId": "agent-session-checkpoint-restore", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Notion is a workspace/knowledge-base product with an agent/MCP integration layer, not a coding agent with its own execution/session checkpoint system; version-history-based checkpoint restore for an AI coding agent's session is outside its product category.", "evidenceIds": [] }, { "productId": "notion", "storyId": "agent-toolchain-autoprovisioning", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Notion is a workspace/knowledge-management product, not a coding agent or dev-environment tool; toolchain/dependency auto-installation is a category error for its product type — evidence covers API, MCP, and integrations but nothing about coding environment setup.", "evidenceIds": [] }, { "productId": "notion", "storyId": "agent-visual-regression-verification", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Notion is a workspace/docs product with an API, agents, and MCP integration for content operations — it has no browser/app UI automation or screenshot-capture capability, so verifying implementation via navigating an app and capturing before/after screenshots is a category mismatch (this axis fits coding/browser-agent tools, not Notion).", "evidenceIds": [] }, { "productId": "notion", "storyId": "agentic-agent-docs", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Notion's developer docs site directly serves an llms.txt file (confirmed via live probe returning HTTP 200 with structured markdown links to docs), plus a full OpenAPI spec and agent-oriented MCP guides, meaning an AI agent can be pointed at these agent-native resources to discover and use Notion's API. Missing for 10: independent third-party corroboration that agents actually consume this llms.txt successfully in practice.", "evidenceIds": [ "notion-probe-1", "notion-probe-2", "notion-docs-25", "notion-docs-24" ] }, { "productId": "notion", "storyId": "agentic-ai-insights", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion documents AI-native capabilities like Q&A with citations ('Get answers, instantly—with citations'), always-on agents ('Keep work moving 24/7 with agents'), and Notion Agent APIs/MCP that can search, read, and act on workspace content, implying AI-generated insight generation from user data. However, evidence is largely first-party marketing/docs with no independent hands-on account of the quality or depth of these AI-generated insights/suggestions, and no detail on proactive suggestion generation beyond Q&A/agents. Missing for 10: independent corroboration of insight quality, concrete examples of AI-generated suggestions (not just answers/actions), and detail on proactive analytics/insight surfacing.", "evidenceIds": [ "notion-docs-7", "notion-docs-8", "notion-docs-21", "notion-docs-22", "notion-docs-26" ] }, { "productId": "notion", "storyId": "agentic-autonomous-automation", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion's docs claim agent capabilities ('Keep work moving 24/7 with agents') plus a dedicated Agent API with sessions, event history, and Custom Agents that can be tracked/managed via token — suggesting agents that operate somewhat autonomously in the background. Webhooks and internal-connection API tokens also support event-driven automations that fire without user intervention. However, the MCP security guidance recommends requiring human confirmation before content-changing actions, which cuts against true unattended autonomy, and there's no detail on native scheduled/triggered workflow automations or independent verification of 24/7 unattended operation. Missing for 10: documentation of native scheduled/cron-style automations, evidence agents can act without confirmation gates, and independent/hands-on corroboration of reliable background execution.", "evidenceIds": [ "notion-docs-8", "notion-docs-21", "notion-docs-22", "notion-docs-29", "notion-docs-3", "notion-docs-20", "notion-docs-9", "notion-docs-28" ] }, { "productId": "notion", "storyId": "agentic-builtin-assistant", "verdict": "full", "quality": 7, "confidence": "medium", "rationale": "Notion markets and documents a built-in AI assistant/agent layer ('Get answers, instantly—with citations', 'Keep work moving 24/7 with agents') plus first-party Agent APIs for sessions, chat, streaming replies, and Custom Agents management, showing the assistant is a native, delegable feature rather than a third-party bolt-on. Missing for 10: independent/hands-on user reports validating real-world task delegation quality and reliability, and more detail on in-app assistant UX beyond marketing copy and API docs.", "evidenceIds": [ "notion-docs-7", "notion-docs-8", "notion-docs-21", "notion-docs-22", "notion-docs-29" ] }, { "productId": "notion", "storyId": "agentic-headless", "verdict": "full", "quality": 8, "confidence": "medium", "rationale": "Notion's REST API plus personal access tokens explicitly target 'scripts, CLI workflows, Workers, and tools' and internal connections use static API tokens 'ideal for custom automations and workflows,' which directly supports headless/CI usage; an OpenAPI spec and llms.txt further confirm programmatic access. Missing for 10: an explicit CI/CD pipeline example or independent hands-on report of running Notion API calls in a CI environment.", "evidenceIds": [ "notion-docs-2", "notion-docs-9", "notion-docs-1", "notion-probe-2", "notion-docs-11" ] }, { "productId": "notion", "storyId": "agentic-mcp-client", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "All MCP evidence describes Notion exposing an MCP *server* so external clients (Claude Code, Cursor, Codex) can pull Notion's tools in — the opposite direction of the story, which asks whether Notion itself can plug in external MCP servers to use their tools. No evidence shows Notion's AI/agent features consuming third-party MCP servers as a client.", "evidenceIds": [ "notion-docs-23", "notion-docs-25", "notion-docs-24", "notion-docs-30" ] }, { "productId": "notion", "storyId": "agentic-mcp-server", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Notion documents an official MCP server ('Notion MCP') that agents like Claude Code, Cursor, or Codex can connect to via OAuth 2.0/PKCE, with docs on client setup, security best practices, and workspace admin controls for MCP access. missing for 10: independent/hands-on third-party verification of the MCP server's reliability in production use.", "evidenceIds": [ "notion-docs-25", "notion-docs-23", "notion-docs-26", "notion-docs-28", "notion-docs-30", "notion-probe-3" ] }, { "productId": "notion", "storyId": "agentic-nl-commands", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion supports natural-language operation via its AI agents, MCP integration (usable by Claude Code, Cursor, Codex), and Notion Agent APIs that let clients read/create/update content and start chat sessions with streamed replies — a strong agentic surface. However, this is mostly mediated through third-party MCP clients or the Notion AI assistant rather than a built-in native NL command interface across the whole product, and there's no independent/hands-on evidence confirming reliability of these NL-driven actions. missing for 10: independent verification of natural-language command accuracy/reliability, evidence of NL commands operating directly within Notion's own UI (not just via external MCP clients or agent APIs).", "evidenceIds": [ "notion-docs-7", "notion-docs-8", "notion-docs-21", "notion-docs-25", "notion-docs-26", "notion-docs-27", "notion-probe-3" ] }, { "productId": "notion", "storyId": "agentic-official-cli", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows REST API, PATs, MCP server/client support, and webhooks, but no mention anywhere of an official command-line interface (CLI) tool shipped by Notion; PATs are described as usable 'for scripts, CLI workflows' but that refers to third-party/custom CLIs built by developers, not an official Notion CLI.", "evidenceIds": [ "notion-docs-2", "notion-docs-11" ] }, { "productId": "notion", "storyId": "agentic-public-api", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Notion ships a well-documented public REST API with OpenAPI spec, PATs/OAuth for internal and public connections, webhooks, and even dedicated Agent APIs and MCP guides for AI-native workflows, confirmed by live probes (openapi.json, llms.txt). missing for 10: independent third-party hands-on developer reports validating real-world API robustness beyond vendor docs.", "evidenceIds": [ "notion-docs-1", "notion-docs-2", "notion-docs-4", "notion-docs-11", "notion-docs-21", "notion-docs-26", "notion-probe-1", "notion-probe-2", "notion-probe-3" ] }, { "productId": "notion", "storyId": "agentic-scoped-keys", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "Notion documents multiple credential-scoping mechanisms relevant to agents: internal connections use a static token scoped to a single workspace, public/OAuth connections let you choose an installation scope, Custom Agent connections only reach agents explicitly shared with them, and MCP security best practices let owners require confirmation before write actions and manage client access per workspace. This shows real least-privilege controls but not fine-grained (e.g. per-resource read/write, expiring/rotatable) scopes explicitly documented. Missing for 10: documented granular permission types (read-only vs write vs admin) for API tokens, token expiration/rotation policy, and independent/hands-on confirmation that scoping works as described in practice.", "evidenceIds": [ "notion-docs-9", "notion-docs-10", "notion-docs-14", "notion-docs-28", "notion-docs-29", "notion-docs-30" ] }, { "productId": "notion", "storyId": "agentic-sdks", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Notion publishes a full REST API with OpenAPI spec, official SDK-style access via internal/public connections and PATs, an official MCP server/client guides, webhooks, and Agent APIs with SDK-like session/streaming semantics — all documented first-party and confirmed by live probes (openapi.json, llms.txt, MCP docs). Missing for 10: independent hands-on developer corroboration of SDK usage and no explicit mention of language-specific official SDK libraries (only REST/OpenAPI + MCP tooling), so some ambiguity remains on 'official SDK' vs REST/OpenAPI wrapper.", "evidenceIds": [ "notion-docs-1", "notion-docs-2", "notion-docs-9", "notion-docs-21", "notion-docs-24", "notion-docs-25", "notion-probe-2", "notion-probe-3" ] }, { "productId": "notion", "storyId": "agentic-webhooks", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Notion's docs explicitly document webhook subscriptions for real-time events (page updates, property changes, new comments) sent as secure HTTP POST requests, configurable per connection. missing for 10: no independent/hands-on corroboration of webhook reliability or event coverage beyond first-party docs.", "evidenceIds": [ "notion-docs-3", "notion-docs-20" ] }, { "productId": "notion", "storyId": "ai-answer-with-citations", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Notion's marketing explicitly claims 'Get answers, instantly—with citations' and 'Keep work moving 24/7 with agents,' indicating a Q&A-with-citations AI feature exists, and agent/search APIs (search across Notion and connected sources, agent session APIs) support this. However, there is no detailed documentation, screenshots, or independent/hands-on corroboration showing the citation UX in practice, only marketing taglines and adjacent API references. Missing for 10: hands-on or third-party verification of the Q&A citation experience, detailed docs on how citations are sourced/displayed, and independent confirmation of accuracy/reliability.", "evidenceIds": [ "notion-docs-7", "notion-docs-8", "notion-docs-26", "notion-docs-21" ] }, { "productId": "notion", "storyId": "ai-auto-draft-updates", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Notion advertises AI capabilities like Q&A with citations and always-on agents that work across the workspace (notion-docs-7, notion-docs-8), and its Agent APIs let a Custom Agent read/act on workspace content via sessions (notion-docs-21, notion-docs-22), which could plausibly be used to draft a status update from recent activity. However, there is no concrete documentation or example specifically showing AI generating a project/initiative status update from recent activity — missing for 10: a documented status-update/report-drafting workflow, example prompts/templates, or independent evidence that this specific reporting use case works in practice.", "evidenceIds": [ "notion-docs-7", "notion-docs-8", "notion-docs-21", "notion-docs-22", "notion-docs-6" ] }, { "productId": "notion", "storyId": "ai-auto-triage-bugs", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Notion documents AI agents ('Keep work moving 24/7 with agents') and a REST API with webhooks that could be wired to auto-triage or prioritize tasks/bugs in a database, but there is no evidence of an out-of-the-box bug/task triage or prioritization feature — this would require custom building. Missing for 10: dedicated bug/task triage feature, evidence of automatic prioritization logic, and any hands-on confirmation this works as described.", "evidenceIds": [ "notion-docs-8", "notion-docs-1", "notion-docs-3", "notion-docs-9" ] }, { "productId": "notion", "storyId": "ai-guided-code-review-explanations", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Notion is a workspace/docs/wiki and agent platform, not a code-review or diff-analysis tool; there is no evidence of code diff parsing or change-explanation capability, and this is a category error for the product type (no GitHub PR/diff review feature exists in the evidence).", "evidenceIds": [] }, { "productId": "notion", "storyId": "ai-personalized-assistant", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence covers Notion's AI agent APIs, MCP integration, and general search/citations features, but nothing describes the AI assistant learning a user's personal tone, shorthand, or writing preferences to tailor output. Notion Skills (notion-docs-27) let users author explicit workflow instructions, but that's manual configuration, not adaptive learning of personal style/preferences.", "evidenceIds": [] }, { "productId": "notion", "storyId": "api-interactive-docs", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion publishes a full OpenAPI spec and a quickstart guide that walks through making a live API request in minutes, indicating a structured, testable API reference exists, but there is no explicit evidence of an in-browser 'try it now' runnable console or interactive playground beyond the openapi.json and quickstart docs. missing for 10: explicit interactive try-it-in-browser console, independent confirmation of runnable examples working out-of-box.", "evidenceIds": [ "notion-probe-2", "notion-docs-11", "notion-docs-1" ] }, { "productId": "notion", "storyId": "api-machine-spec", "verdict": "full", "quality": 9, "confidence": "high", "rationale": "Notion hosts a downloadable OpenAPI spec at developers.notion.com/openapi.json (confirmed HTTP 200 with 'openapi' key), alongside an llms.txt machine-readable docs index, giving AI-native users direct access to a standard, machine-readable API spec. missing for 10: no independent third-party confirmation of spec completeness/versioning beyond the probe check.", "evidenceIds": [ "notion-probe-2", "notion-probe-1", "notion-docs-1" ] }, { "productId": "notion", "storyId": "api-sandbox", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence of a sandbox/test workspace, staging environment, or mock API for testing separate from production data; the API docs describe only live workspace read/write access with no isolated test mode.", "evidenceIds": [] }, { "productId": "notion", "storyId": "api-versioning-policy", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack shows Notion's REST API, OAuth, webhooks, and OpenAPI spec exist, but none of the citations mention API versioning conventions (e.g., a Notion-Version header) or any documented deprecation policy for breaking changes. Missing for 10: explicit version header documentation, deprecation timeline commitments, migration guides for version changes.", "evidenceIds": [] }, { "productId": "notion", "storyId": "audit-log-admin-controls", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers Notion's API, integrations, MCP, and agent tooling extensively, but contains no mention of an admin audit log feature for tracking workspace actions — this is a distinct enterprise security/compliance capability that is entirely unevidenced here.", "evidenceIds": [] }, { "productId": "notion", "storyId": "auto-generate-release-changelogs", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Notion offers generic APIs, webhooks, and a GitHub integration, but there is no evidence of any changelog-generation feature or template/automation specifically for release changelogs.", "evidenceIds": [] }, { "productId": "notion", "storyId": "automation-bulk-operations", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Notion's REST API and MCP integration let scripts/agents read, create, and update pages and databases programmatically (notion-docs-1, notion-docs-13, notion-docs-26), which enables looping over many items via custom code, but there is no documented native batch/bulk endpoint or bulk-update mechanism in the evidence pack. Missing for 10: explicit bulk/batch API endpoints, rate-limit guidance for large-scale operations, and independent confirmation that bulk automation works reliably at scale.", "evidenceIds": [ "notion-docs-1", "notion-docs-13", "notion-docs-26", "notion-docs-11" ] }, { "productId": "notion", "storyId": "automation-rules-engine", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion's platform supports event-driven automation via webhooks (subscribing to page/property/comment changes and POSTing to an endpoint) plus a REST API and agent APIs to act on those events, which lets an AI-native user build 'when X happens, do Y' pipelines. However, this requires external code/infra to interpret webhook payloads and execute actions — there's no documented native no-code 'if this then that' rule builder in the evidence, only developer-facing webhook + API primitives. Missing for 10: evidence of a built-in visual automation/rules engine, filtering conditions on triggers, and independent confirmation that webhook-driven automations work reliably in practice.", "evidenceIds": [ "notion-docs-3", "notion-docs-20", "notion-docs-21", "notion-docs-22", "notion-docs-9" ] }, { "productId": "notion", "storyId": "automation-scheduled-jobs", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Notion's API/webhooks support event-driven automation (page changes, comments) and scripted API access via PATs, but there is no documented native mechanism for scheduling recurring/time-based jobs or workflows within Notion itself — webhooks fire on data changes, not on a schedule. Missing for 10: any documented cron-like scheduler, recurring automation trigger, or timed job feature.", "evidenceIds": [ "notion-docs-3", "notion-docs-20", "notion-docs-2", "notion-docs-9" ] }, { "productId": "notion", "storyId": "automation-versioned-workflows", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Notion has automation-adjacent features (API-driven agents, MCP action confirmation) but nothing about versioning automation definitions, reviewing change history, or rolling back automations to a prior state. The closest item (notion-docs-28) only covers per-action confirmation, not version control or rollback of the automation itself.", "evidenceIds": [ "notion-docs-28", "notion-docs-21", "notion-docs-22" ] }, { "productId": "notion", "storyId": "code-repo-issue-sync", "verdict": "partial", "quality": 5, "confidence": "low", "rationale": "Notion lists a GitHub integration ('Keep your GitHub and Notion workflows in sync') and offers a general REST API plus webhooks that could be used to build custom bi-directional sync between Notion databases and an issue tracker, but there is no documented native two-way sync of task/issue state (e.g., status changes propagating both directions) — the GitHub integration description is thin and unverified beyond a marketing tagline, and an older community comment even complains Notion 'does not have a GitHub integration.' missing for 10: concrete documentation of bi-directional field/status sync with GitHub Issues (or Jira/Linear), and independent confirmation the integration goes beyond simple embeds/linking.", "evidenceIds": [ "notion-docs-17", "notion-docs-1", "notion-docs-3", "notion-docs-20", "notion-comm-7" ] }, { "productId": "notion", "storyId": "cross-platform-context-handoff", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion supports handoff via REST API, webhooks, MCP server/client interoperability (Claude Code, Cursor, Codex), and Agent APIs with session/event history that preserve context across tool boundaries. However, there's no dedicated evidence of cross-agent context preservation guarantees, no independent/hands-on validation of lossless handoff, and community feedback focuses on unrelated pain points rather than confirming this specific capability. missing for 10: independent verification of lossless context transfer between agents/tools, explicit handling of long-running multi-agent handoff scenarios, and hands-on user reports confirming this workflow in practice.", "evidenceIds": [ "notion-docs-21", "notion-docs-22", "notion-docs-25", "notion-docs-26", "notion-docs-3", "notion-docs-20", "notion-probe-3" ] }, { "productId": "notion", "storyId": "cross-team-dependency-tracking", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Notion is described as a flexible workspace/'system of record' that teams use for project and task tracking (notion-docs-6, notion-comm-11), which could support dependency coordination, but no evidence specifically documents relation/dependency-tracking features, and one community report notes teams 'quickly reach limits' when using Notion as a project/issue tracker for team coordination (notion-comm-6). Missing for 10: explicit documentation of dependency-linking features (e.g., linked databases, relation properties, timeline/Gantt views), cross-team rollup examples, and independent validation that large multi-team launches are successfully coordinated in Notion.", "evidenceIds": [ "notion-docs-6", "notion-comm-11", "notion-comm-6" ] }, { "productId": "notion", "storyId": "cross-tool-task-aggregation", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Notion's API and integrations directory (GitHub, Loom, Tableau, Mixpanel, Canva, etc.) but none of these are project-management tools like Jira, Asana, or Trello, and there is no documented feature for pulling assigned tasks from multiple external PM tools into a single unified view. Community comments even note the historical lack of GitHub/PM integrations as a dealbreaker, with no counter-evidence of a task-aggregation feature being added.", "evidenceIds": [ "notion-docs-17", "notion-intdir-1", "notion-intdir-2", "notion-comm-7", "notion-comm-18" ] }, { "productId": "notion", "storyId": "custom-agent-builder", "verdict": "partial", "quality": 7, "confidence": "medium", "rationale": "Notion's developer docs describe a distinct 'Custom Agents' capability with session-based chat, streaming replies, action confirmation, and access/usage management (notion-docs-21, notion-docs-22, notion-docs-29), plus marketing language about 'agents' keeping work moving 24/7 (notion-docs-8), indicating users/developers can build and manage their own AI agents in the product. However, the evidence pack lacks detail on how deeply an end user can configure agent persona, tool access, or instructions beyond access-sharing and credit limits. missing for 10: detailed documentation of persona/instruction configuration, tool-selection UI, and independent hands-on confirmation of building a custom agent end-to-end.", "evidenceIds": [ "notion-docs-21", "notion-docs-22", "notion-docs-29", "notion-docs-8" ] }, { "productId": "notion", "storyId": "custom-dashboard-widgets", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence shows Notion's API/integrations let developers sync data, automate workflows, and embed third-party content (Tableau, Mixpanel, Canva) inside pages, but there is no documentation of a widget/dashboard SDK or custom-view framework that lets a designer build native-feeling UI components inside Notion itself — embeds are pre-built partner integrations, not designer-authored native widgets.", "evidenceIds": [ "notion-docs-1", "notion-docs-19", "notion-intdir-2", "notion-intdir-3" ] }, { "productId": "notion", "storyId": "custom-fields-workflows", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Community feedback describes Notion as highly flexible and configurable enough to serve as a project/issue tracker sitting between rigid PM tools like Jira and unstructured wikis, implying customizable fields/workflows, but the evidence pack contains no first-party documentation specifically describing database property types, status fields, or workflow customization features. Missing for 10: official docs on database property/status customization, screenshots or docs of board/status views, and independent hands-on confirmation of building a PM workflow with custom fields.", "evidenceIds": [ "notion-comm-3", "notion-comm-6", "notion-comm-15" ] }, { "productId": "notion", "storyId": "dashboard-reporting", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers Notion's API, developer tooling, and general workspace flexibility, but contains no documentation or mention of dashboard/widget-building features for tracking project progress; one community comment even notes Notion 'quickly reach[es] limits of what is possible automatically' when used for project tracking. Missing for 10: any first-party docs on dashboard/reporting widgets, rollups/charts for progress tracking, or hands-on evidence of PMs building such dashboards.", "evidenceIds": [ "notion-comm-6" ] }, { "productId": "notion", "storyId": "design-tool-sync", "verdict": "partial", "quality": 4, "confidence": "low", "rationale": "Notion offers a generic REST API, webhooks, and integrations (e.g. Canva, Sketch) that let designers view/share design assets in Notion and could theoretically be used to sync status via custom automation, but there is no evidence of a built-in, native workflow where a design tool directly updates a Notion project status field without switching apps. Missing for 10: a documented direct integration (e.g. Figma/Canva plugin) that writes status/property updates back to Notion, and any hands-on confirmation that such a workflow works in practice.", "evidenceIds": [ "notion-docs-1", "notion-docs-3", "notion-intdir-3", "notion-intdir-5", "notion-docs-20" ] }, { "productId": "notion", "storyId": "full-history-export-fidelity", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no documentation or claims about Notion's workspace export feature preserving comments, attachments, or audit trails; the only tangential comment (notion-comm-16) suggests users find it 'hard to get stuff out' of Notion, which does not support the story. Missing for 10: any vendor documentation of an export function, evidence of comment/attachment preservation on export, or evidence of audit-trail export.", "evidenceIds": [ "notion-comm-16" ] }, { "productId": "notion", "storyId": "granular-permission-roles", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers API/OAuth scopes, webhooks, and MCP connection access controls, but contains no documentation of Notion's actual workspace member roles, page/database-level sharing or edit/view permission settings that a product manager would use to control who can view or edit content. notion-docs-30 only mentions managing MCP client connection access, not user role-based content permissions.", "evidenceIds": [ "notion-docs-30", "notion-docs-9", "notion-docs-14" ] }, { "productId": "notion", "storyId": "guided-first-time-setup", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains developer API/MCP documentation and community sentiment, but no mention of an in-product guided walkthrough or onboarding wizard for setting up a workspace for the first time. The closest item (notion-docs-11) is a quickstart for making an API request, not a workspace setup walkthrough, so it doesn't count as evidence for this specific onboarding story.", "evidenceIds": [] }, { "productId": "notion", "storyId": "import-from-other-tools", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack covers Notion's REST API, integrations (GitHub, Loom, Tableau, etc.), MCP/agent APIs, and webhook capabilities, but contains no documentation of a native import feature or migration wizard for bringing data over from other tools (e.g., Confluence, Asana, Evernote) during onboarding. Building an import via the API would require custom engineering, not a documented PM-facing onboarding capability.", "evidenceIds": [] }, { "productId": "notion", "storyId": "in-app-team-chat", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "Evidence covers Notion's API, comments, webhooks, and general collaboration platform claims, but there is no mention of a built-in chat/messaging feature for real-time team communication within Notion. Comments (notion-docs-3) are asynchronous annotations, not chat.", "evidenceIds": [] }, { "productId": "notion", "storyId": "initiative-status-tracking", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Community evidence confirms Notion is used as a project/initiative tracker by teams (comm-6, comm-15, comm-3), consistent with its flexible database model that supports custom fields like status, priority, and owner, but the evidence pack contains no first-party documentation explicitly describing status/priority/owning-team properties, and one community report notes hitting limits when using Notion as a project/issue tracker. Missing for 10: explicit docs on database property types (status, priority, person/team fields), and independent confirmation of scaling well for initiative tracking at team level.", "evidenceIds": [ "notion-comm-6", "notion-comm-15", "notion-comm-3", "notion-docs-6" ] }, { "productId": "notion", "storyId": "inline-comments-on-content", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "The evidence only shows that Notion's API can read/create/update generic 'comments' as one of the object types alongside pages and databases (notion-docs-1, notion-docs-13), but there is no documentation or community evidence confirming the specific capability of inline commenting on selected text or images within a page description. Missing for 10: explicit documentation of block/inline text commenting, image-specific comment anchoring, and any hands-on confirmation that comments attach to specific text/image selections rather than whole pages/blocks generically.", "evidenceIds": [ "notion-docs-1", "notion-docs-13" ] }, { "productId": "notion", "storyId": "interface-rate-limit-disclosure", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack covers API capabilities, auth models, webhooks, and MCP integration, but nowhere documents specific rate limits, request-per-second caps, or concurrency limits for the REST API. No source states numeric thresholds or throttling behavior that an automation builder would need to plan at scale.", "evidenceIds": [] }, { "productId": "notion", "storyId": "large-workspace-performance-limits", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No first-party documentation addresses workspace scale limits, item/block caps, or performance guarantees for large databases; the evidence pack only contains generic API/marketplace docs and unrelated integration listings. Community reports (notion-comm-4, notion-comm-8, notion-comm-13, notion-comm-17) even describe hitting a hard 1000-block limit and persistent sluggishness/data loss, but these are anecdotal complaints, not an official statement Notion could be shown contradicting, so this doesn't rise to 'disputed' — it simply lacks any vendor evidence of delivering predictable performance at tens-of-thousands-of-tasks scale.", "evidenceIds": [ "notion-comm-8", "notion-comm-4", "notion-comm-13", "notion-comm-17" ] }, { "productId": "notion", "storyId": "mobile-app-parity", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no vendor documentation or claims about a native mobile app with desktop-equivalent task management functionality; instead, community reports mention mobile being 'hard to get stuff out of' and citing 'offline/mobile-first' as a gap serious enough to abandon Notion. No positive evidence supports full mobile parity.", "evidenceIds": [ "notion-comm-16", "notion-comm-20", "notion-comm-14" ] }, { "productId": "notion", "storyId": "mobile-code-review-with-agent", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "This story is about reviewing AI coding-agent diffs (code review with inline comments) from a mobile app and having the agent iterate — this is a coding-agent/IDE workflow, not something Notion (a workspace/docs/wiki tool) is built for. Notion's agent features relate to page/content editing, not code diffs or line-level code review.", "evidenceIds": [] }, { "productId": "notion", "storyId": "multiple-project-views", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Community evidence only glancingly confirms Notion supports board/kanban and task-list structures (notion-comm-18), but nothing in the evidence pack explicitly documents calendar or timeline views or the ability to switch seamlessly between all four view types on the same dataset. missing for 10: docs/screens showing calendar view, timeline/Gantt view, and the actual view-switching mechanism on one database.", "evidenceIds": [ "notion-comm-18" ] }, { "productId": "notion", "storyId": "native-integration-hub", "verdict": "disputed", "quality": 3, "confidence": "low", "rationale": "Notion's dev docs describe a general integrations framework (public/internal connections, OAuth, webhooks, marketplace) that could support connectors to tools like Slack, GitHub, or Google Drive, but no evidence names these specific integrations as built-in. A direct community report explicitly states Notion lacks a native GitHub integration, calling it a dealbreaker for tech teams, which concretely contradicts any claim of native connectivity to common engineering tools. Missing for 10: explicit documentation or first-party listing of Slack, GitHub, and Google Drive integrations, and independent confirmation they work natively without third-party glue.", "evidenceIds": [ "notion-docs-4", "notion-docs-9", "notion-docs-10", "notion-comm-7" ] }, { "productId": "notion", "storyId": "no-code-automation-builder", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Notion advertises 'agents' that 'keep work moving 24/7' and 'Notion Skills' as reusable, no-code workflow instructions, plus Custom Agents accessible via API, hinting at some no-code automation capability for non-developers. However, most of the automation-related evidence (REST API, webhooks, MCP servers, PATs) is explicitly developer/code-oriented, and there is no documentation of a native drag-and-drop or point-and-click multi-step automation builder for PMs. Missing for 10: a dedicated no-code automation builder UI, concrete PM-facing multi-step workflow examples, and independent corroboration that non-technical users can chain multiple actions without scripting.", "evidenceIds": [ "notion-docs-8", "notion-docs-27", "notion-docs-21", "notion-docs-22" ] }, { "productId": "notion", "storyId": "openness-api-parity", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion's own API docs claim you can 'read, create, and update nearly everything' via REST API, plus OpenAPI spec, webhooks, MCP server, and agent APIs give broad but explicitly non-complete coverage — the vendor's own wording ('nearly everything') signals known gaps versus full UI parity (e.g., view configuration, granular permissions, some formatting/UX-only features). missing for 10: independent verification of true UI/API parity, explicit list of API-unsupported UI features, hands-on confirmation from developers building full-parity integrations.", "evidenceIds": [ "notion-docs-1", "notion-docs-13", "notion-probe-2", "notion-docs-3", "notion-docs-21", "notion-docs-26" ] }, { "productId": "notion", "storyId": "openness-full-export", "verdict": "disputed", "quality": 4, "confidence": "medium", "rationale": "Notion's REST API (notion-docs-1, notion-docs-11) lets you read/create/update 'nearly everything' via personal access tokens, which could support scripted data extraction, but there is no documented one-click bulk export to open, portable formats in this evidence pack. Community reports directly contradict the 'easy to leave' narrative: users say Notion data is 'hard to get stuff out of it, especially on mobile' and that it is 'tied to its own cloud service' with 'no way to use it as a standalone app storing data locally,' explicitly citing this as a reason to leave/avoid switching. missing for 10: dedicated bulk export-to-open-format documentation (e.g., Markdown/CSV/HTML export), independent verification that exported data is complete and usable outside Notion, confirmation that API access alone suffices for a full data migration.", "evidenceIds": [ "notion-docs-1", "notion-docs-11", "notion-comm-16", "notion-comm-10" ] }, { "productId": "notion", "storyId": "openness-open-license", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Notion is a closed-source, proprietary SaaS product; the only open-source artifact mentioned is the notion-mcp-server client tool, not Notion's own application source. No evidence anywhere in the pack indicates Notion's core product source is available under an open license.", "evidenceIds": [ "notion-docs-24", "notion-comm-2", "notion-comm-10" ] }, { "productId": "notion", "storyId": "openness-self-host", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Notion is a cloud-only SaaS with no self-hosted deployment option; community evidence explicitly confirms it is tied to its own cloud service with no way to run it as a standalone/local app, and users express desire for a self-hosted alternative that doesn't exist.", "evidenceIds": [ "notion-comm-10", "notion-comm-2", "notion-comm-17" ] }, { "productId": "notion", "storyId": "portfolio-progress-rollup", "verdict": "partial", "quality": 3, "confidence": "low", "rationale": "Notion is broadly marketed as a flexible system of record and used by teams for project tracking (notion-docs-6, notion-comm-3), but no evidence describes rollup properties, portfolio dashboards, or cross-project progress aggregation specifically, and community feedback notes real limits when using Notion as a project tracker. Missing for 10: explicit documentation of rollup/aggregation properties, portfolio-view templates, or dashboard features summarizing multiple projects' progress, and hands-on confirmation this works at scale.", "evidenceIds": [ "notion-docs-6", "notion-comm-3", "notion-comm-6" ] }, { "productId": "notion", "storyId": "prebuilt-project-templates", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of Notion's templates or template gallery feature for jumpstarting projects; it focuses entirely on API, integrations, MCP, and community feedback unrelated to templates. Although templates are a well-known Notion capability, this evidence pack provides no documentation or citation supporting it, so per the rules it must be judged 'none' rather than assumed from outside knowledge.", "evidenceIds": [] }, { "productId": "notion", "storyId": "privacy-data-residency", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence in the pack addresses data residency, regional storage options, or geographic control over where workspace data resides; one community comment even notes Notion is tied to its own cloud with no local storage option. This is a fair question for a SaaS platform storing user data, so it applies, but nothing supports it. missing for 10: any mention of region selection, data residency guarantees, EU/US data center choice, or compliance documentation on data locality.", "evidenceIds": [ "notion-comm-10" ] }, { "productId": "notion", "storyId": "privacy-no-training", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack item addresses AI training data opt-out or any privacy control preventing user content from being used to train AI models; only general API/MCP/session-recording concerns are present, none of which speak to this specific claim.", "evidenceIds": [] }, { "productId": "notion", "storyId": "privacy-retention-controls", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items address data retention policies, deletion controls, export/purge tools, or data lifecycle management for AI-native usage; the pack covers API access, integrations, and MCP but nothing about retention/deletion settings. missing for 10: documentation on data retention policies, deletion/purge controls, workspace data lifecycle settings, AI training data retention/opt-out specifics.", "evidenceIds": [] }, { "productId": "notion", "storyId": "privacy-telemetry-optout", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No documentation or feature in the evidence pack describes a telemetry/usage-tracking opt-out control; the only related signal is a community complaint that Notion embeds undisclosed session-recording (FullStory) tracking, which points the opposite direction from a user-facing opt-out.", "evidenceIds": [ "notion-comm-9" ] }, { "productId": "notion", "storyId": "private-restricted-teams", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence describes creating private sub-teams or restricted membership groups within Notion; the pack covers API tokens, integrations, MCP, and general product feedback but nothing about team/permission structuring like private teamspaces limited to specific members.", "evidenceIds": [] }, { "productId": "notion", "storyId": "public-status-page-uptime-sla", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack item mentions a published uptime SLA or a public status page for incident reporting; the evidence covers API docs, integrations, MCP, and community complaints unrelated to SLA/status transparency.", "evidenceIds": [] }, { "productId": "notion", "storyId": "realtime-collaborative-updates", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Community feedback confirms Notion's real-time collaborative editing is a strong point ('really good real-time collaboration', 'collaborative components feel really powerful'), but other reports describe lag and even a page refresh wiping unsaved work, suggesting real-time sync isn't always seamless. No first-party documentation explicitly describes the live-sync/websocket mechanism for instant cross-session updates. missing for 10: official docs on real-time sync architecture, hands-on verification of instant updates without refresh, resolution of documented lag/data-loss complaints.", "evidenceIds": [ "notion-comm-2", "notion-comm-15", "notion-comm-17" ] }, { "productId": "notion", "storyId": "rule-based-automation-builder", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion's REST API, webhooks, and internal/public connections let engineers build custom trigger-and-action automations (subscribe to page/property changes, then read/create/update content programmatically), and third-party integrations (GitHub, Loom, Tableau) extend this further. However, this is a DIY/code-first approach via API+webhooks rather than a native no-code trigger-action rules builder inside Notion itself. Missing for 10: evidence of a built-in visual automation/rules engine (if-this-then-that) inside the product, and independent verification that engineers successfully use these APIs for production automation.", "evidenceIds": [ "notion-docs-1", "notion-docs-3", "notion-docs-9", "notion-docs-20", "notion-docs-17" ] }, { "productId": "notion", "storyId": "saved-filtered-views", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "The evidence pack covers Notion's API, MCP, integrations, and community feedback, but contains no mention of database views, filters, or the ability to save/share a filtered view via link. This is an applicable capability for a workspace/planning tool, but no evidence supports it here.", "evidenceIds": [] }, { "productId": "notion", "storyId": "scheduled-recurring-workflows", "verdict": "partial", "quality": 4, "confidence": "medium", "rationale": "Notion exposes a REST API, personal access tokens, and webhooks for event-driven automation (e.g., page/database changes), which engineers could wire into external cron jobs or agent workflows for routine team tasks, but there is no documented native scheduling/cron trigger inside Notion itself — webhooks are event-triggered, not time-based. \nmissing for 10: native schedule/cron trigger, built-in recurring-job runner, first-party example of a scheduled automation using the API.", "evidenceIds": [ "notion-docs-1", "notion-docs-2", "notion-docs-3", "notion-docs-9", "notion-docs-20", "notion-probe-2" ] }, { "productId": "notion", "storyId": "seat-minimum-billing-policy", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "The evidence pack contains no information about Notion's pricing plans, seat minimums, or annual billing commitments — all content covers API, MCP, integrations, and general product sentiment. This is a fair pricing-transparency question for a SaaS product, but no evidence addresses it.", "evidenceIds": [] }, { "productId": "notion", "storyId": "shared-docs-knowledge-base", "verdict": "full", "quality": 8, "confidence": "high", "rationale": "Notion's core product is exactly this: shared docs/notes organized alongside databases and project tracking in 'one system of record,' and community evidence confirms real-world use as wiki, project tracker, and issue tracker alongside notes. Minor caveats exist (comm-6 notes friction at scale, comm-8 a legacy block-limit complaint) but the core capability is well established. Missing for 10: independent benchmarking of doc/project integration depth and resolution of the 'jack of all trades' scaling complaints.", "evidenceIds": [ "notion-docs-6", "notion-comm-3", "notion-comm-6", "notion-comm-11", "notion-comm-15" ] }, { "productId": "notion", "storyId": "signed-commits-for-agent-sessions", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Notion is a workspace/documents product with no source-control/commit system; requiring cryptographic signing of commits is a git/VCS concept entirely outside Notion's product category, not something Notion pages or its API model as 'commits'.", "evidenceIds": [] }, { "productId": "notion", "storyId": "sprint-planning", "verdict": "partial", "quality": 4, "confidence": "medium", "rationale": "Notion's flexible databases (notion-docs-6) can be configured into kanban/sprint boards, and its API/automations (notion-docs-1, notion-docs-3) allow custom workflows, but there is no evidence of native agile/sprint-specific features (backlogs, sprint velocity, burndown, sprint ceremonies). Community feedback explicitly notes it hits limits as a project/issue tracker and lacks GitHub integration, a 'dealbreaker' for tech teams (notion-comm-6, notion-comm-7). missing for 10: dedicated sprint planning primitives, native issue/backlog management, engineering tool integrations (e.g., GitHub/CI), independent evidence of successful agile sprint use.", "evidenceIds": [ "notion-docs-1", "notion-docs-6", "notion-docs-3", "notion-comm-6", "notion-comm-7" ] }, { "productId": "notion", "storyId": "sso-saml-login", "verdict": "none", "quality": 0, "confidence": "low", "rationale": "No evidence pack items mention SSO, SAML, or enterprise identity/authentication management for workspace access — the pack only covers API tokens, OAuth for connections/integrations, and MCP client access, none of which address organization-wide SSO/SAML.", "evidenceIds": [] }, { "productId": "notion", "storyId": "support-response-time-by-tier", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "No evidence pack items mention support response times, SLAs, or plan-tier support commitments; the evidence covers API, MCP, integrations, and community complaints unrelated to support SLAs.", "evidenceIds": [] }, { "productId": "notion", "storyId": "task-creation-assignment", "verdict": "partial", "quality": 5, "confidence": "medium", "rationale": "Notion's API and product docs confirm creating/updating database items (tasks) and pages (notion-docs-1, notion-docs-6), and community evidence confirms real-world use as a 'project tracker, issue tracker' (notion-comm-6), which implies task creation with properties like assignee/due date. However, no evidence explicitly documents assignee or due-date properties, notifications for assigned tasks, or a dedicated task-management UI walkthrough. Missing for 10: explicit documentation of person/assignee property, due-date property, and confirmation that assigned teammates get notified.", "evidenceIds": [ "notion-docs-1", "notion-docs-6", "notion-comm-6" ] }, { "productId": "notion", "storyId": "task-dependencies-subtasks", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "The evidence pack contains no mention of Notion's sub-tasks, relation properties, or dependency-linking features for tasks/databases; it focuses on API access, integrations, MCP, and unrelated community complaints. Since planning/tracking of dependent tasks is a fair expectation for a workspace tool like Notion, but no evidence substantiates this specific capability, it must be scored as none rather than na.", "evidenceIds": [] }, { "productId": "notion", "storyId": "third-party-app-marketplace", "verdict": "partial", "quality": 6, "confidence": "medium", "rationale": "Notion's docs confirm a public marketplace model with OAuth-based 'public connections' that undergo a security review before being listed, plus internal connections and webhooks for automations, supporting third-party integration capability. However, there is no evidence pack confirmation of marketplace scale (e.g., 'thousands' of listed integrations), and an older community comment notes a lack of a native GitHub integration, suggesting coverage gaps for some popular tools. Missing for 10: quantitative evidence of marketplace size/breadth, and resolution of specific integration gaps raised by users.", "evidenceIds": [ "notion-docs-4", "notion-docs-10", "notion-docs-9", "notion-docs-3", "notion-comm-7" ] }, { "productId": "notion", "storyId": "time-tracking", "verdict": "none", "quality": 0, "confidence": "high", "rationale": "Notion offers databases, APIs, and integrations for general workspace/project data, but there is no evidence of a dedicated time-tracking/logging feature against tasks or projects; any such capability would require a third-party integration not documented here.", "evidenceIds": [] }, { "productId": "notion", "storyId": "unified-workspace-search", "verdict": "disputed", "quality": 5, "confidence": "medium", "rationale": "Notion advertises workspace-wide search plus AI-powered 'Get answers, instantly—with citations' and MCP search across Notion and connected sources, but a hands-on team user managing tasks/projects explicitly reports 'Search still needs some love,' directly contradicting the fast/accurate claim. missing for 10: independent benchmarking of search speed/accuracy across large workspaces, resolution of the community complaint, and evidence of comments-specific search quality.", "evidenceIds": [ "notion-docs-7", "notion-docs-26", "notion-comm-11" ] }, { "productId": "notion", "storyId": "visual-whiteboard-collaboration", "verdict": "na", "quality": 0, "confidence": "high", "rationale": "Notion is a docs/wiki/database workspace with API and integration features; no evidence pack item mentions a visual whiteboard/canvas collaboration feature, and this is a fundamentally different product category (visual whiteboarding tools) rather than something a workspace/API product would ship as an axis.", "evidenceIds": [] }, { "productId": "notion", "storyId": "workflow-run-overage-fees", "verdict": "none", "quality": 0, "confidence": "medium", "rationale": "No evidence pack item discusses rate limits, throttling, overage charges, or hard stops for API/automation usage—only general API capabilities, agent 'credit limits' mention without specifics, and integration lists are present. This is an applicable axis for an API-driven product, but no documentation of what happens when limits are exceeded is provided.", "evidenceIds": [] } ]