Principlev1
Measure learning rate (speed of improvement) rather than
Measure learning rate (speed of improvement) rather than only performance outcomes, tracking meta-metrics like error detection speed, practice propagation rate, and pilot-to-scale conversion efficiency.
Why This Is a Principle
Derives from Learning occurs when outcomes differ from predictions, (learning occurs from prediction error), Raw experience, without reflection, does not produce (raw experience without reflection does not produce learning), and Expert performance in complex domains requires deliberate (expert performance requires deliberate practice with feedback). Prescribes WHAT to measure - learning rate not just outcomes - which is measurement design guidance following from feedback-driven learning principles.