"When a measure becomes a target, it ceases to be a good measure." - Goodhart's Law. See also, the Cobra Effect: https://en.wikipedia.org/wiki/Perverse_incentiv

"When a measure becomes a target, it ceases to be a good measure." - Goodhart's Law. See also, the Cobra Effect: https://en.wikipedia.org/wiki/Perverse_incentive https://en.wikipedia.org/wiki/Perverse_incentive. If you set up an incentive system, people will (perhaps not even consciously) start trying to game that system. Maybe there's some way to use machine learning to turn performance metrics into a black box that considers every possible data point? (Now there's a terrifying idea.)