Add resolution time metrics by priority level#299
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redreceipt merged 3 commits intomainfrom Apr 22, 2026
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Breaks down average (and p95) resolution time across non-project completed issues (Bugs, New Features, Technical Changes) grouped by Linear priority so urgent work can be compared against lower-priority items at a glance. https://claude.ai/code/session_014XrrEqCFFWBGuwkw5M7A6q
The Linear label was renamed, so update every query site plus the matching local variable names in app.py and jobs.py. The "New Features" heading in the weekly changelog prose stays — it's a category label for the LLM-generated summary, not a Linear label. Also narrow resolution-by-priority to Bug + Feature Request only (dropping Technical Change) so the home-page metric reflects the two user-facing item types. https://claude.ai/code/session_014XrrEqCFFWBGuwkw5M7A6q
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Summary
This PR adds a new dashboard widget that displays average and p95 resolution times for completed issues, broken down by priority level. This provides visibility into how quickly issues at different priority levels are being resolved.
Key Changes
by_priority()inlinear/issues.py: Groups issues by their priority levelget_resolution_time_by_priority()inlinear/issues.py: Calculates average and p95 resolution times (in days) for each priority level, only including issues with both creation and completion timestampsPRIORITY_LABELSconstant to map numeric priority values (1-5) to human-readable labels (Urgent, High, Medium, Low, Very Low)/partials/index/resolution-by-priorityinapp.py: Serves the resolution metrics widget with configurable time window (default 30 days)_build_resolution_by_priority_context(): Fetches completed bugs, features, and technical changes, filters for non-project items, and calculates resolution statisticsindex_resolution_by_priority.html: Displays resolution stats in a grid layout showing priority label, average resolution time, issue count, and p95 metricindex.html: Integrated the new widget into the dashboard with dynamic loadingImplementation Details
issue.get("project"))get_time_data()utility to calculate lead time statisticshttps://claude.ai/code/session_014XrrEqCFFWBGuwkw5M7A6q