Kovendo

Goodhart’s Law explains why a metric can become less useful when people start optimizing it as a target. A proxy metric is an indirect measurement used to estimate an outcome that is difficult to measure directly. In data analytics, the solution is to validate proxy metrics against real outcomes, monitor multiple indicators, and use a scorecard with clear weights, thresholds, and safeguards against manipulation. Businesses rely on metrics to make decisions about marketing campaigns, product development, customer retention, employee performance, and artificial intelligence. However, a number that initially indicates success can become misleading when teams begin optimizing that number instead of the result it was intended to represent. This problem connects two important concepts: Goodhart’s Law and proxy metrics . Understanding their relationship helps analysts distinguish genuine progress from performance that only looks good in a dashboard. This guide explains the concep...