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Metrics Glossary

Canonical definitions, calculations, and interpretation guidance for LinearB metrics and analytics across Delivery, Throughput, Quality, Reliability & DORA, Balance & Activity, and AI. Each metric ar…

Updated 4 days ago by Steven Silverstone

Canonical definitions, calculations, and interpretation guidance for LinearB metrics and analytics across Delivery, Throughput, Quality, Reliability & DORA, Balance & Activity, and AI.

Each metric article includes definition, calculation, display behavior, and limitations.

Delivery Throughput Quality Reliability & DORA Balance & Activity AI

Delivery

Measure flow efficiency and cycle performance.

Cycle Time Metric

End-to-end time from first commit to production.

Coding Time Metric

Time spent actively coding within the delivery cycle.

Pickup Time Metric

Time from PR creation to first review activity.

Review Time Metric

Time a PR spends in review before merge.

Time to Review Metric

Time from PR ready-for-review to first review action.

Time to Approve Metric

Time from pickup to final approval.

Time to Merge Metric

Time from approval to merge.

Deploy Time Metric

Time from merge to production deployment.

Throughput

Measure output volume and activity trends.

Code Changes Metric

Overall change rate across new code, refactor, and rework.

Commit activity volume over time.

PRs Opened Metric

Number of pull requests created in the selected period.

Total review actions across pull requests.

Merge Frequency Metric

Merged PR volume normalized to the time range.

Active Days Metric

Number of unique days contributors performed Git activity.

Done Branches Metric

Branches merged where a contributor was involved.

Quality

Measure stability, review effectiveness, and change impact.

New Code Metric

Percentage of code changes classified as new work.

PRs Merged Without Review Metric

Merged PRs with no recorded review activity.

Average lines changed per pull request.

Review Depth Metric

Average review comments per reviewed PR.

Percentage of changes modified after review activity.

Refactor Metric

Percentage of changes classified as refactor work.

PR Maturity Metric

How stable a PR remained after submission.

Reliability & DORA

Measure delivery performance and operational reliability.

Deploy Frequency Metric

How often code is released to production.

CFR (Change Failure Rate) Metric

Percentage of deployments associated with incidents.

MTTR (Mean Time to Restore) Metric

Average time required to recover from incidents.

Balance & Activity

Measure work distribution and contribution patterns.

Active Days Metric

Number of unique days contributors performed Git activity.

Active Branches Metric

Number of branches that were in an active state during the period.

Done Branches Metric

Branches merged where a contributor was involved.

AI

AI adoption, usage, and AI-assisted review signals.

Understand adoption and usage across your organization.

Track how developers use supported AI tools.

AI Code Review Metrics

Usage and impact metrics for AI-assisted code review.

AI Metrics Explained

Interpretation guidance for AI metrics and signals.

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