Metrics exist to answer two questions: how good is the software we deliver, and is our testing approach actually working? AI-generated tests broke the old answers to both. QA metrics were never really about numbers. They exist to answer two questions. First, how good is the software we are delivering to customers? Second, is our testing approach actually working, or are we just going through the motions? share share share share
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Innovate QA Awards 2026 Honor Leaders Advancing the Future of Quality Engineering
July 22, 2026
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The inaugural awards recognized excellence in automation, testing tools, emerging talent, innovative QA practices, thought leadership, community impact, organizational quality, and artificial intelligence across the software development lifecycle.
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Testing What the User Actually Sees: The Blind Spot in Single-IP QA Environments
August 6, 2026
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A bug report arrives from a customer in Germany. Checkout fails at the final step. Nobody on the team can reproduce it. It passes locally, it passes in CI, it passes in staging. Three days later somebody works out that the payment provider serves a different form to German addresses, with one extra required field, and the validation on that field was never exercised by any test that has ever run.
