Test Flakiness Dashboard
Stop letting flaky tests erode trust in your CI pipeline.
What changes when you build this
The gaps you're living with today,
and what this tool fixes.
Problems
- Engineers re-run CI pipelines 3-5 times per day because one or two tests fail randomly, burning 40+ minutes of wait time
- Nobody knows which tests are flaky versus genuinely broken, so real regressions hide behind "just re-run it"
- Test ownership is unclear — a flaky integration test sits broken for weeks because no team claims it
- Flake patterns are invisible without historical data, so the same tests waste cycles month after month
- Deploy velocity drops because the team stops trusting the test suite and adds manual verification steps
Solutions
- Every test run is recorded with pass/fail/retry history, so flake rates are calculated automatically across time windows
- Tests exceeding a flake threshold get flagged and optionally quarantined so they stop blocking unrelated PRs
- Each test is mapped to an owning team, and flaky tests surface on that team's queue with severity context
- Historical trend charts show whether flake rates are improving or getting worse per suite and per service
- Engineers see a clear signal — green means green — and deploy with confidence instead of gut feel
Mistakes to avoid
These are the failure patterns teams hit most often
when building this.
No ownership mappingFix: Assign every test suite to a team and surface unowned flaky tests as a blocking alert in standups.
No ownership mapping
Fix:Assign every test suite to a team and surface unowned flaky tests as a blocking alert in standups.
Quarantine becomes permanentFix: Set a 14-day SLA on quarantined tests — auto-escalate to the owning team's manager if unresolved.
Quarantine becomes permanent
Fix:Set a 14-day SLA on quarantined tests — auto-escalate to the owning team's manager if unresolved.
Flake rate calculated over wrong windowFix: Use a rolling 30-day window so recent fixes are reflected quickly without losing historical signal.
Flake rate calculated over wrong window
Fix:Use a rolling 30-day window so recent fixes are reflected quickly without losing historical signal.
Only tracking end-to-end testsFix: Include unit and integration tests in the dashboard — flakiness at any layer wastes pipeline time.
Only tracking end-to-end tests
Fix:Include unit and integration tests in the dashboard — flakiness at any layer wastes pipeline time.
No connection to deploy impactFix: Join test run data with deploy records so you can show how many deploys were delayed by flaky failures.
No connection to deploy impact
Fix:Join test run data with deploy records so you can show how many deploys were delayed by flaky failures.