Understanding performance results shouldn’t require being a performance expert.
You can run a great load test… and still lose hours translating graphs into decisions. Is that p99 spike real? What changed vs the last run? Is this a regression, or noise?That’s why we added AI Insights : an AI-generated decision layer that turns raw test data into clear, actionable insights, so teams can move from results to next steps in minutes.
With AI Analysis, you get:
Instant interpretation of what matters in your run, not just more charts and percentiles
A non-expert reading layer so anyone can understand and share them
Faster alignment across dev, QA, and engineering leaders, without needing a “performance metrics interpreter” in the middle
Better decisions, sooner, so performance testing becomes something teams can act on continuously, not something they only review when there’s time
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