DiscoverHumans of ReliabilityMetrics That Matter: Measuring Developer Productivity in the AI Era
Metrics That Matter: Measuring Developer Productivity in the AI Era

Metrics That Matter: Measuring Developer Productivity in the AI Era

Update: 2025-04-09
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In this episode of Humans of Reliability, Ryan McDonald is joined by Mark Quigley, Head of Platform Engineering at 90, for a conversation that cuts through the noise around developer productivity metrics and AI.

Mark dives deep into how teams can measure what matters—without falling into the trap of turning every measure into a target. He shares how tools like Developer NPS, DORA metrics, and balanced scorecards can help teams optimize for both output and well-being—but only when framed with the right intent.

As AI tools like GitHub Copilot begin to shift how engineering work gets done, Mark also explores the tension between time saved and value created. Drawing on his experience at Wayfair and now 90, he shares real numbers, practical pitfalls, and a healthy dose of executive common sense on how to track gains without over-engineering the data.

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Metrics That Matter: Measuring Developer Productivity in the AI Era

Metrics That Matter: Measuring Developer Productivity in the AI Era

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