Activation Funnel Optimizer

Diagnoses where new users stall between signup and activation, then generates hypothesis-driven UX and onboarding improvements for each leaky stage — each with a stated belief, expected mechanism, predicted lift, effort estimate, and a measurable success metric. Outputs a ranked experiment backlog and a 4-week test sequence. Use when activation rates are flat, onboarding drop-off is high, or you need a structured set of testable improvements to move users from signup to first value.