GitHub analytics your stakeholders can read.
GitHub has data. What it doesn't have is a way to show your VP of Engineering what the team shipped last month in language they understand. GitSignal transforms raw GitHub activity into dashboards built for engineering leaders — not developers.
Feature timelines
Track every active feature across your repositories. See which developers are contributing, how much effort has been invested, and where work is concentrated — all in a timeline view that updates automatically from merged PRs and commits.
No more sprint review meetings to explain what's in progress. The timeline shows it in real time.
Work type distribution
Understand how your team's capacity is split across four categories:
- Shipping — new features and user-facing changes
- Investing — infrastructure, refactoring, and technical debt
- Fixing — bug fixes and incident response
- Sustaining — maintenance, documentation, and operational work
Healthy teams need balance. If 80% of effort is going to fixes, that's a signal. GitSignal makes the distribution visible so you can adjust before it becomes a problem.
Shipped work summaries
Review every merged pull request with AI-generated plain-language summaries. Stakeholders see what changed and why it matters — without reading code or PR descriptions written for other developers.
Get started
Connect your GitHub repos and see your analytics dashboard in minutes. Start free or browse the live demo.
FAQ
GitHub analytics questions
What GitHub activity does GitSignal analyze?
GitSignal analyzes activity from connected repositories, including commits and pull requests, and turns it into timelines, work-type views, and readable summaries.
Who is GitHub analytics for?
The page is designed for engineering leaders and product partners who need context on shipped work without reading every commit or pull request.
Related features
- Automated standups — Daily activity summaries written from your GitHub commits and pull requests.
- Developer metrics — Effort-weighted hours, impact, difficulty, and efficacy for review conversations.
- Engineering visibility — Ask questions about analyzed engineering activity and see the evidence in context.