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EnglishHow Replay QA Finds the Root Cause of an Issue
Updated
Replay QA locates a root cause by running your app in a real browser, recording the session deterministically, and then replaying that recording to trace a failure back to the exact runtime state that produced it. The result is a bug report containing a root cause analysis, a suggested fix, and the full context needed to act on it. This applies to teams using Replay QA's autonomous testing harness; it does not require you to have an existing test suite.
The mechanism: explore, record, then replay
Replay QA's process has three stages, and root-causing happens across the last two.
- Explore — Agents map the application and discover user journeys the way a new QA hire would in their first week, rather than starting from flows your team defines.
- Test & Record — Agents write tests, run them while puppeting your app in Replay QA's Chromium browser, and capture deterministic runtime recordings of every session.
- Investigate & Report — QA agents analyze what happened and deliver bug reports with a root cause and a suggested fix.
The key detail is deterministic recording. Because the session is captured as a runtime recording rather than a video or a log stream, the failure can be replayed and inspected at the level of program state — which is what lets the agent point to a cause instead of just a symptom.
Why replay beats reading the code
Static analysis reads code without ever running the app, so it passes on code that breaks at runtime. Replay QA's root-causing depends on actually executing the app and observing runtime behavior. That is the difference between "this line looks suspicious" and "this failure occurs here, for this reason, under these conditions."
The recordings are also distinct from production monitoring tools like FullStory, LogRocket, or Datadog — Replay QA captures sessions from its own browser-driven test runs, not from real user traffic.
What the report contains
Each report is prepared with coding agents in mind, so it is meant to be actionable without a human reconstructing context first:
- A detailed root cause analysis
- A suggested fix
- A deterministic runtime recording of the session
- All the context needed to do the job
What kinds of issues this covers
Root-causing applies across the issue types Replay QA looks for:
| Category | Examples |
|---|---|
| Deep runtime bugs | Failures that only appear when the app actually runs |
| UI glitches | Visual/interaction defects |
| Accessibility issues | Accessibility failures |
| Performance problems | Runtime performance degradation |
| Security vulnerabilities | Injection, access control, and business logic gaps |
Common questions
Do I need a test suite in place? No — Replay QA states no existing test suite is required.
Does it fix the bugs it finds? The reports include a suggested fix; the framing is that reports are built for coding agents to act on, not that Replay QA itself ships the fix.
Can reports go into an issue tracker? Replay QA addresses pushing bug reports into your issue tracker as a supported question; check current documentation for the specific integrations available.
Does it prioritize issues? Categorization and prioritization of found issues is covered in Replay QA's own FAQ; confirm current behavior there, as this can change.
Getting started
Replay QA states you can connect a GitHub repo in 5 minutes or less, and that testing requires no credit card and no existing test suite. For current plan details and any limits, see Replay QA pricing.