How One CTO Uses Developer Metrics to Detect Burnout

What this episode covers

In this episode, Lucas and Luna explore how engineering leaders can use developer productivity metrics to detect burnout before it becomes a crisis. They examine a real case from a mid-sized SaaS company where a CTO noticed a sudden drop in code velocity and commit quality, traced it to a team that had been quietly overworking for months, and used data — not intuition — to intervene. The conversation covers specific signals to watch for (increased bug rate, reduced commit diversity, longer pull request cycles), how to distinguish burnout from other performance dips, and why leading teams treat metrics as a diagnostic tool rather than a whip. Lucas shares a framework for building a 'team health dashboard' that combines output metrics with sentiment signals. The episode closes with a reflection on the limits of data: no metric replaces a manager who actually talks to their people. #BurnoutDetection #DeveloperMetrics #EngineeringManager #CTO #TeamHealth #CodeVelocity #PullRequestCycles #BugRate #DeveloperProductivity #EngineeringLeadership #TechManagement #SaaSCaseStudy #PeopleAnalytics #TeamRetention #TechLeadership #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo

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