What problem does it solve? Game teams often either track too little data to make informed decisions or drown in thousands of unanalyzed events. This Skill provides a structured methodology for building a lean, privacy-compliant analytics pipeline: defining which questions to answer, designing a consistent event taxonomy, setting KPI targets with benchmarks, building dashboards, and running statistically valid A/B tests. ## Core Features & Use Cases - Event Taxonomy Design: Enforces a dot-separated domain.object.action naming convention, standardized property types, and a 20-50 core event budget so every tracked event answers a specific question. - KPI Definitions and Benchmarks: Provides precise definitions and indie benchmarks for DAU, retention (D1/D7/D30), session length, ARPU, ARPPU, conversion rate, crash rate, and funnel completion. - Dashboard and A/B Test Planning: Supplies daily/weekly/monthly dashboard specs with alert thresholds and owners, plus an A/B testing framework covering sample size calculation, run duration, and guardrail metrics. - Privacy Compliance Guidance: Covers GDPR consent flows, COPPA age gating, Apple ATT prompts, and data minimization requirements. - Use Case: A team three months from launch asks for a complete analytics pipeline; the Skill produces an analytics implementation plan with goals, event taxonomy, KPI targets, tool selection (e.g., GameAnalytics for indies), privacy checklist, and dashboard specs. ## Quick Start Ask the assistant to design an analytics plan for your game, including the event taxonomy, KPI targets, and a dashboard specification for your launch.
