Built from 1M+ Playwright/Cypress runs to show what breaks, why, and the cost of keeping suites green
As AI-assisted development increases shipping speed, many teams are finding that testing and triage have become the constraint. The 2026 QA benchmark report provides a practical baseline for understanding why automated tests fail in real production workflows and what it costs to keep suites green. Built from 1M+ Playwright and Cypress runs across hundreds of applications, the report breaks failures into clear root-cause categories, including selector changes, flow changes, environment instability, and loading/timing issues. It pairs those root causes with benchmarks for failure rates, investigation and fix time, and time-to-recovery, so engineering leaders can separate “normal noise” from systemic reliability gaps.
In addition to the benchmark data, the report includes a plug-and-play cost model that helps you estimate the ongoing maintenance burden for your team based on test volume and failure frequency. Whether you’re scaling end-to-end coverage, trying to improve CI trust, or simply reducing the drag of flaky builds, this benchmark gives you the numbers, patterns, and decision framework to prioritize what to fix next.
Offered Free by: Checksum.ai
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