Mar 3 · 10 min read · Developer Metrics and Engineering Intelligence Tools Measuring developer productivity is a minefield. Get it right and you have early warning signals for systemic problems, evidence for resourcing decisions, and data to improve your engineering proce...
Join discussionFeb 28 · 6 min read · How Decision Intelligence Combines Data Science and Behavioral Science Data science has given organizations unprecedented ability to analyze information. Behavioral science has revealed the systematic biases that distort human judgment. Separately, e...
Join discussionFeb 28 · 6 min read · Why Calibration Training Makes Better Forecasters When someone says they are "90 percent sure" about a prediction, what does that mean in practice? For a well-calibrated forecaster, it means the prediction comes true about nine times out of ten. For ...
Join discussionFeb 28 · 6 min read · The Decision Matrix Method for Engineering Trade-Offs Engineering is fundamentally about trade-offs. Speed versus reliability. Cost versus performance. Simplicity versus flexibility. Every design choice involves sacrificing something valuable to gain...
Join discussionFeb 28 · 3 min read · The Information-Decision Gap: Why More Data Does Not Mean Better Decisions We live in an era of unprecedented data abundance. Organizations collect terabytes of information about customers, operations, markets, and competitors. Yet decision quality h...
Join discussionFeb 26 · 7 min read · Every HTTP request your browser makes includes a header that tells the server who's asking. It looks something like this: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 That string — th...
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