01Identifies compound value and increasing switching costs over time
02Designs retention loops to visualize the cyclical value delivery
03Proposes targeted anti-churn mechanics and mitigation strategies
04Establishes clear retention KPIs and target metrics for D1, D7, and D30
05Maps natural and artificial return triggers based on user JTBD
060 GitHub stars