product-analytics

name	product-analytics
description	Product analytics and growth expert. Use when designing event tracking, defining metrics, running A/B tests, or analyzing retention. Covers AARRR framework, funnel analysis, cohort analysis, and experimentation.

Product Analytics

Core Principles

• Metrics over vanity — Focus on actionable metrics tied to business outcomes
• Data-driven decisions — Hypothesize, measure, learn, iterate
• User-centric measurement — Track behavior, not just pageviews
• Statistical rigor — Understand significance, avoid false positives
• Privacy-first — Respect user data, comply with GDPR/CCPA
• North Star focus — Align all teams around one key metric

---

Hard Rules (Must Follow)

These rules are mandatory. Violating them means the skill is not working correctly.

No PII in Events

Events must NEVER contain personally identifiable information.

// ❌ FORBIDDEN: PII in event properties
track('user_signed_up', {
  email: '[e-mail]',     // PII!
  name: 'John Doe',              // PII!
  phone: '[phone]',          // PII!
  ip_address: '192.168.1.1',     // PII!
  : ,        
});


(, {
  : (),  
  : ,
  : ,
  : ,                       
});


  = () => {
   [name, domain] = email.();
   ;
};