Understanding LinearB Metrics

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Guides to understanding your LinearB features.

27 articles by 2 authors

Metrics Glossary

The Metrics Glossary provides clear definitions and explanations for all metrics tracked in LinearB, including how they are calculated and why they matter

Cycle Time Calculation in LinearB

Learn how LinearB calculates Cycle Time across four key development phases—Coding, Pickup, Review, and Deploy—so you can identify bottlenecks, track delivery efficiency, and surface improvement opportunities across your teams.

Draft Pull Requests

Draft PRs are a valuable tool for teams to collaborate early in the development process and maintain clear differentiation between work-in-progress and ready-for-review pull requests.

Handling Squash Merges in LinearB

Learn how LinearB ensures accurate coding time metrics when squash merges are used, and how enabling Jira-based coding time can further improve tracking accuracy across your development workflows.

Understanding Code Changes

Understanding Code Changes. General. Code changes is a metric that measures the changes that are done in the code base over time. It includes either new code or refactored code and is counted in a nu…

Understanding the Differences Between PR Size and Code Changes in LinearB

Understand the key differences between PR Size and Code Changes in LinearB to accurately measure development effort, track modifications, and optimize your engineering workflows.

What are LinearB Burnout Indicators?

Avoid burnout and cognitive overload by monitoring and balancing your team's workload.

Work Breakdown Terms

Work Breakdown Terms. Refactor - Changes to legacy code. LinearB considers code "legacy" if it has been in your code-base for over 21 days. Rework - Code that is rewritten or deleted shortly after be…

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