activation-retention-intelligencelisted

# Activation and Retention Intelligence ## Outcome Create versioned activation, cohort-retention, and feature-adoption analysis that shows which behaviors predict customer success, why cohorts diverge, and how feature use and feedback relate to retention and revenue. ## When to use Use after Growth Data Foundation is reconciled and fresh enough for the requested scope. Use it for onboarding improvement, churn investigation, feature launch readouts, pricing/packaging questions, and recurring lifecycle monitoring. It does not own acquisition funnels or conversion-change attribution; those belong to Funnel and Conversion Intelligence. ## Discovery and user direction Inspect the current workflow, goals, metrics, source coverage, capabilities, stores, dashboards, and schedules before proposing changes. Summarize reusable foundations and gaps, ask focused questions for unresolved scope, definitions, cohorts, thresholds, ownership, and success criteria, and record the answers as customer direction. Installation alone does not approve workflow changes or execution. ## Required inputs Resolve activation definition, cohort keys and retention windows, feature and flag inventory, revenue linkage scope, feedback sources and access, comparison cohorts, targets or thresholds, minimum data quality, reporting audience, and decision ownership. ## Plan and AgentWorks tools Use scripted steps for deterministic activation scoring, cohort retention curves, feature-adoption breakdowns, re