Metrics Hub

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Metrics Hub

Explore LinearB engineering metrics by category and learn what each metric measures, how it’s calculated, and how to interpret it.

93 articles by 1 author

7 articles

How Metrics Work

Learn how LinearB metrics are calculated and how commits, pull requests, and workflow activity affect dashboard results.

1 article

Metrics Glossary

Definitions and explanations for all LinearB metrics, including what they measure and how to interpret them.

2 articles

Benchmarks

Compare your engineering metrics against industry benchmarks to understand performance and improvement opportunities.

11 articles

Delivery Metrics

Measure how work moves through the software delivery lifecycle from coding through review, deployment, and release.

8 articles

Throughput Metrics

Measure development output and activity trends using commits, pull requests, and merge frequency.

9 articles

Quality Metrics

Evaluate code quality and review practices through PR size, review depth, and rework signals.

8 articles

Reliability & DORA Metrics

Measure delivery reliability using key DORA metrics such as deployment frequency, MTTR, and change failure rate.

5 articles

Balance & Activity Metrics

Understand how work and contributions are distributed across developers, teams, and branches.

6 articles

AI Metrics

Understand how AI tools are adopted and used across development workflows and code review.

17 articles

Dashboards & Reporting

Learn how LinearB dashboards present engineering metrics and how to interpret trends across teams.

1 article

AI Metrics Troubleshooting

Troubleshoot missing or incomplete AI metrics by verifying integrations, permissions, and supported tools.