"You release the latest software update, and the reports start pouring in. Suddenly, one metric governs everything from CSAT/NPS to roadmap slip: bug resolution time. Execs see it as a promise-keeping metric-can we ship, learn, and protect revenue on schedule? Practitioners feel the pain in the trenches-duplicated tickets, unclear ownership, noisy escalations, and context scattered across Slack, spreadsheets, and separate tools. That fragmentation stretches cycles, buries root causes, and turns prioritization into guesswork."
"Bug resolution time is the amount of time it takes to fix a bug, measured from the moment the bug is reported until it is fully resolved. In practice, the clock starts when an issue is reported or detected (via users, QA, or monitoring) and stops when the fix is implemented and merged, ready for verification or release-depending on how your team defines "done.""
"It's not the same as bug detection time. Detection time measures how quickly you recognize a defect after it occurs (alarms firing, QA testing tools finding it, customers reporting it). Resolution time measures how quickly you move from awareness to remedy-triage, reproduce, diagnose, implement, review, test, and prep for release. Think of detection as "we know it's broken," and resolution as "it's fixed and ready.""
Bug resolution time measures elapsed time from when a bug is reported until it is fully resolved and ready for verification or release. The clock typically starts when an issue is reported or detected and stops when the fix is implemented and merged, though teams may define boundaries differently and should be consistent. Detection time measures how quickly a defect is recognized, while resolution time covers triage, reproduction, diagnosis, implementation, review, testing, and release prep. Fragmented context, duplicated tickets, unclear ownership, and noisy escalations lengthen resolution cycles, slow learning, and cause missed commitments and backlog accumulation. AI changes the workflow compared to traditional manual processes.
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