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Software engineering measurement visualization
ResearchSeptember 20, 2025

The Measurement Problem in Software Engineering

In 1982, Tom DeMarco wrote 'You can't control what you can't measure.' Twenty-seven years later, he partially retracted it. Between those two statements lies the history of an unsolved problem—and now AI has arrived to make it both harder and more urgent.

Justin CranshawJustin Cranshaw
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Recent Posts

Engineering team analyzing metrics on screen
ResearchJanuary 15, 2025

The Case Against DORA Metrics

DORA metrics promise to measure engineering effectiveness, but they're optimizing for the wrong things. Here's what you should measure instead.

Justin CranshawJustin Cranshaw
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Maestro AI platform dashboard
Product InsightsJanuary 10, 2025

Introducing Maestro AI

We built Maestro because engineering leaders deserve better than vanity metrics. Here's our vision for impact-driven engineering intelligence.

Justin CranshawJustin Cranshaw
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AI visualization with engineering team
Engineering LeadershipJanuary 5, 2025

The Engineering Intelligence Revolution

Engineering leadership is evolving from gut feel and vanity metrics to AI-powered intelligence that actually understands your team.

Justin CranshawJustin Cranshaw
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Developer working at computer with metrics on screen
ResearchDecember 20, 2024

Why Activity Metrics Fail

Measuring lines of code and commit counts is like judging a novel by word count. Here's why activity metrics fail—and what to measure instead.

William ChengWilliam Cheng
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