Measuring What Matters
Before launching mechanics, predefine activation, D1, D7, and D30 retention, and stickiness like DAU over MAU. Include engagement depth, session quality, and task completion. Align targets with user value, not just time spent. Clear definitions prevent over-optimizing for flashy dashboards that mask diminishing satisfaction.
Measuring What Matters
Run A/B tests with guardrails for session length, churn, and complaint rates. Size samples to detect practical effects, not noise. Document hypotheses and expected mechanisms. Sequential testing or Bayesian approaches can speed learning without inflating false positives. Celebrate invalidated hypotheses—they prevent waste and clarify direction.