⭐️ Explore Metrics
Explore LinearB metrics by category. Learn what each metric measures, how it’s calculated, and where it appears across dashboards and reports.
Updated
by Steven Silverstone
Navigate LinearB metrics by performance dimension. Use the metric families below to understand what each metric measures, how to interpret it, and where it appears in dashboards.
Metrics Glossary
Definitions
Canonical definitions, calculations, display behavior, tunables, and limitations for each metric.
Delivery Metrics
Speed
PR lifecycle timing and stage efficiency (Cycle Time, Coding, Pickup, Review, Deploy, custom stages).
Throughput Metrics
Output
Engineering output and activity volume (code changes, commits, PRs opened, merges, reviews, deploys).
Quality Metrics
Health
Review rigor and code health (PR size, review depth, new code/refactor/rework, identified issues).
AI Metrics
AI
AI adoption, workflow touchpoints, and AI review impact (AI actions, AI users, identified issues).
Reliability & DORA
Stability
Production stability and recovery performance (CFR, MTTR, deploy frequency, lead-time mapping).
Balance & Activity
Patterns
Work distribution and contribution patterns (active days, active branches, coding days).
Dashboards & Reporting
Views
Dashboard guides, custom reports, repository views, multi-team comparisons, sharing, filters, and reporting workflows.
Benchmarks
Reference
Industry benchmark references and comparative guidance for interpreting engineering performance metrics.
Troubleshooting
Fix issues
Missing data scenarios, Copilot authorization errors, adoption anomalies, and validation steps for AI integrations.
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