Skip to main content

Metrics Hub

Navigate LinearB metrics by performance dimension. Explore the metric families to understand what each metric measures, how to interpret it, and where it appears in dashboards.

author avatar
29 articles by 1 author
1 article

Reliability & DORA Metrics
4 articles

Balance & Activity Metrics
8 articles

Quality Metrics
9 articles

Delivery Metrics

AI Metrics

Purpose. AI Metrics measure AI tool adoption, AI-assisted workflow interaction, and AI-attributed impact within the development lifecycle. These metrics help teams understand how AI tools are being u…

Benchmarks

Engineering benchmarks help teams understand how their performance compares to broader industry patterns across delivery speed, code quality, and development throughput. LinearB benchmarks are based…

Dashboards & Reporting

LinearB Metrics Dashboards provide real-time visibility into engineering performance, code quality, and development velocity. The platform includes several pre-built dashboards covering key engineeri…

Reliability & DORA Metrics

Purpose. Reliability & DORA Metrics measure production stability and recovery performance. They provide visibility into deployment frequency, change risk, and how quickly incidents are resolved. Thes…

Throughput Metrics

Purpose. Throughput Metrics measure engineering output and activity volume. They help you understand how much work is flowing through the system over time (for example, commits, pull requests, review…

Troubleshooting Missing AI Metrics

AI Analytics Troubleshooting Verify AI integrations, activity, and known limitations if AI metrics are missing or incomplete.

⭐️ 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…

Contact