Understanding LinearB Metrics

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Guides to understanding your LinearB features.

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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.

How and When LinearB Counts Commits

LinearB counts commits by tracking repository activity, branch configurations, and optional integrations like Jira. The system ensures accuracy through fallback mechanisms for squash merges, configur…

Indirect Code Contribution 👻

Indirect Code Contribution. Looking at the commits and code that is part of a branch, we distinguish between 2 types of contribution to the branch. Direct contribution - direct commits to the branch.…

Quality Code Metrics Explained

Quality Code Metrics Explained. Change Sequence Size - . In change sequence size we measure the number of “hunks” that are changed in each commit on average. A Hunk is a sequence of lines that are co…

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.

Why does my Cycle Time keep changing?

Cycle Time is a fluid metric: 1. branches change 2. post-iteration change 3.

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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