AI Root Cause Analysis

Not every red test is the same failure.

A test is red – but is the application broken, or did an element simply change? TestZombie brings run and healing information together to help you narrow down potential causes and decide what to investigate first.

Failure ContextHealing HistoryTrends & Hotspots
TestZombie AI

The most expensive part is often not the failure – it is the investigation

A test fails and the investigation starts: Was a button renamed, did the page slow down or is something genuinely broken? Without context, finding the answer often takes longer than the fix.

01

Bring causes together

View test runs, detected changes and possible causes together instead of across separate logs.

02

Find hotspots

Spot tests and pages where similar failures keep recurring.

03

Protect real failures

Help your team distinguish maintenance issues from possible product bugs without silently hiding real failures.

Workflow

From logs to an actionable cause

1

Capture context

Failure clues are linked to the affected test run.

2

Classify patterns

Recurring failures and UI-element changes become easier to spot.

3

Prioritize the fix

Your team can more quickly decide whether a test needs maintenance or a possible product bug needs investigation.

FAQ

Root cause analysis FAQ

Does AI root cause analysis replace debugging?

No. It is meant to accelerate investigation and condense context, not replace technical review.

How does root cause connect to self-healing?

Healing provides useful signals about whether a failure was caused by UI or locator drift.

Can I identify recurring problems?

Yes. Centralized test and healing data make recurring hotspots and patterns easier to see.

TestZombie AI

Keep your existing tests alive longer.

Keep your Selenium, Playwright or Appium tests and add self-healing, failure analysis and optional code maintenance.