How Goodhart's Law Breaks Metrics
Explore Goodhart's Law—when a measure becomes a target, it ceases to be a good measure—and how to design metrics that resist gaming.
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Explore Goodhart's Law—when a measure becomes a target, it ceases to be a good measure—and how to design metrics that resist gaming.
Learn to interpret data correctly by avoiding common traps like confirmation bias, p-hacking, and confusing correlation with causation.
Learn to design measurement systems that actually improve decisions and performance without creating perverse incentives or gaming.
Understand how measurement bias distorts data and decisions—from selection bias to observer effects—and how to minimize its impact.
Understand what KPIs actually are, how they differ from regular metrics, and how to select and use them effectively without corporate jargon.
Understand when to use quantitative versus qualitative measurement, their strengths and limitations, and how they complement each other.
Learn how to identify what truly matters to measure, avoid measurement traps, and design metrics that actually improve decisions and outcomes.
Learn to distinguish vanity metrics that look good but don't matter from meaningful metrics that actually drive decisions and outcomes.
Understand how metrics can deceive—through gaming, misinterpretation, and misalignment—and learn to use measurement without being misled.
Explore the observer effect and Hawthorne effect—how the act of measurement itself changes what's being measured and the implications for metrics.