Laws of PM Decisions Goodhart's Law

Goodhart's Law

When Metrics Become Targets

The moment a measurement becomes a target, it stops being useful — because people start optimising the number instead of the thing it was supposed to represent.

Why PMs should care

Any metric you turn into an OKR becomes the thing the team games — not the thing you originally wanted to improve. Proxy metrics are useful at first: they're cheaper, faster, and easier to read than the real outcome you care about. But the moment you attach compensation or headcount to one, it starts to quietly rot.

The failure isn't about dishonesty. People are very good at finding the shortest route to a number. And once the number is on a dashboard, 'what the number was originally supposed to represent' isn't really anyone's job anymore.

The defence is to pair any target metric with a counter-metric — something that should get worse if the target is being gamed. And every year or so, change how the target is defined, before anyone gets too comfortable working around it.

Example in product work

A support team is rewarded on 'tickets closed per day'. Quarter-on-quarter, tickets closed climbs 35%. Customer-reported resolution — the thing the metric was meant to proxy — drops 12%.

Investigation reveals agents have learned to close tickets with a templated 'thanks for reaching out, please let us know if you need further help', which resets the SLA clock, marks the ticket resolved, and transfers the problem to the next agent when the customer re-opens.

The metric climbed. The actual work got worse. And the agents weren't being dishonest — they were being rational inside the incentive they were handed.

What to do when you see it

Sources & further reading

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