product-operations-activation

Compare the behavior of retained users against churned users through event analysis to find the key action that correlates with staying. The skill guides this data comparison and outputs a defined Aha Moment with supporting evidence.

Segment the retention curve into three phases: new users (days 1-7), mid-term (weeks 2-4), and long-term (monthly). Each phase has different churn causes, so the skill locates the inflection point and matches phase-specific countermeasures.

The output follows a template covering Aha Moment definition, activation path optimization with a friction table, retention curve diagnosis, retention hooks (habit, value, relationship), and an experiment plan with hypotheses and validation metrics.

Yes, but the skill will not fabricate metrics. When you do not provide retention or conversion data, it uses industry benchmarks as assumptions and clearly labels them, with evidence levels marked as data, inference, or assumption.

It provides decision frameworks rather than final product decisions, which remain with the product owner. Incentive designs must account for cost and subsidy withdrawal risk, and results require small-step experiments before scaling.