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Understanding Your Quality Score: A Deep Dive
Your quality score is more than a number—it’s a composite view of your test health. Here’s how to interpret it and improve it.
ReleaseQA Team•January 28, 2026•8 min read
A quality score should be explainable, actionable, and aligned to release risk. Ours is built from observable signals, not vanity metrics.
What goes into the score
- Failure rate across recent runs (weighted toward critical paths)
- Flake rate and stability drift
- Regression freshness (new failures vs. known issues)
- Coverage signals tied to recent code changes
How to read it
Treat the score like a summary, then drill into the drivers. A dip is only useful if you can see which failures, suites, or services caused it.
Improving the score
- Eliminate flakes before adding more tests
- Focus coverage on the highest-risk workflows
- Fix regressions quickly so they don’t become “known failures”
Score thresholds and gates
Teams typically define guardrails (for example, no release below a threshold or with untriaged regressions). The goal is consistency, not perfection.
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