Research guide
When a retry passes, what should your team believe?
Retries contain intermittent failures. They do not explain whether the application, the test, or the environment failed. Start triage with a fresh browser run and the evidence it leaves behind.
Treat retries as a signal, not a verdict
Playwright can report a test as passed, failed, or flaky after retries. That label makes instability visible. It does not identify the cause.
If every intermittent failure becomes “rerun it,” the team learns to ignore the part of the product where a real regression may later appear.
Keep the path, not only the status
Playwright Trace Viewer preserves actions, screenshots, network activity, and errors. That context makes a coded failure easier to inspect.
The release owner still needs a plain answer: what did the user attempt, where did the journey stop, and does it happen again in a clean browser session?
Run a short triage loop
Rerun the coded test once. Then run the same business journey in CueTest with controlled test data. Compare the completed step, browser state, and environment assumptions before changing the script, application, or setup.
This stops a common mistake: repairing a timeout while a customer blocker remains unexamined. It also leaves a release artifact that people can review together.
Measure trust in the signal
Track how often a flaky label becomes a product defect, how long classification takes, and how many release decisions include a screenshot plus failed-step evidence. These measures show whether people can trust the signal.
Key takeaways
- Retries are useful containment, not diagnosis.
- Evidence from a fresh browser journey helps separate app failures from brittle automation and setup issues.
- Release triage should end with a visible user outcome, not only a CI status.