Agent skill · data analytics · daffy0208
product-analytics
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
Why this skill is useful
Provides specific event tracking patterns and metrics analysis that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2025-12-25. 33 stars on the source repository.
What this skill does
Product Analytics Measure what matters and make data-driven decisions. North Star Metric The ONE metric that represents customer value Key Metrics Hierarchy Event Tracking Funnel Analysis Cohort Analysis Retention Curves Key Metrics to Track Acquisition Traffic sources (organic, paid, referral) Cost per click (CPC) Conversion rate (visitor → signup) Activation Signup → first core action Time to value Onboarding completion rate Retention DAU / MAU (stickiness) Retention rate D1, D7, D30 Churn rate Revenue MRR / ARR ARPU (Average Revenue Per User) LTV (Lifetime Value) LTV:CAC ratio Referral Viral coefficient Referral signups NPS (Net Promoter Score) yaml Event Tracking: Mixpanel (best for products) Amplitude (good alternative) PostHog (open-source) Session Recording: FullStory LogRocket Hotjar A/B Testing: Optimizely VWO Google Optimize (free) yaml Executive Dashboard: North Star Metric (big number) Revenue (MRR/ARR) Key metric trends (graphs) Product Dashboard: Active users (DAU/WAU/MAU) Feature usage Retention cohorts Funnels Marketing Dashboard: Traffic sources Conversion rates Cost per acquisition ROI by channel ` Summary Great analytics: ✅ One North Star Metric ✅ Track everything ✅ Regular review (weekly) ✅ Share insights widely ✅ Act on data quickly
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills daffy0208/product-analytics