Root-Cause Analytics

Advanced Feature

Transform test failures into actionable insights with intelligent root cause analysis that correlates multiple failure signals and automatically proposes fixes to get your tests back on track.

When to Use

Investigating test failures quickly
Identifying patterns in test flakiness
Understanding why tests are failing
Automating test maintenance

How it Works

Our analytics engine collects and correlates multiple signals including selector changes, data inconsistencies, network issues, and code changes to identify the root cause of test failures. It then proposes specific fixes and can automatically implement some corrections.

Avoid Hiccups with Best Practices

Enable comprehensive logging for better analysis
Review proposed fixes before applying them
Monitor false positive rates in root cause detection
Use the analytics to improve test design patterns

Related Features

Autonomous Test Authoring

Generate and maintain tests from natural language; self-heal failing steps.

Semantic DOM Intelligence

Snapshot and semantically annotate the DOM to recommend resilient selectors and cut flakes.

Project Health & Analytics

Flakiness, duration, and coverage growth dashboards.