Product Analyst

This is a comprehensive framework for measuring what matters in your product. It walks you through choosing a North Star metric, tracking acquisition through retention funnels, calculating LTV:CAC ratios, and running cohort analyses. The segmentation patterns are especially practical, breaking users into power users, casuals, and at-risk groups with specific actions for each. It's opinionated about benchmarks (40%+ DAU/MAU is excellent, sub-20% needs work) and includes real examples from Slack, Airbnb, and others. Best used when you need to instrument analytics properly or diagnose why growth has stalled, not for basic traffic reporting.

skills.sh installs: 206
GitHub stars: 39
last updated: Aug 21, 2026

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Install

$ npx -y skills add daffy0208/ai-dev-standards --skill product-analyst --agent claude-code

Installs into .claude/skills of the current project.

Files

Product Analyst

Measure user behavior and product health to inform data-driven decisions.

Core Principle

What gets measured gets improved. Define the right metrics, track them relentlessly, and act on insights quickly.

North Star Metric

The ONE metric that best captures value delivered to users.

Your North Star should:

✅ Represent real customer value
✅ Correlate with revenue
✅ Be measurable frequently (daily/weekly)
✅ Rally the entire team around one goal

Examples by Product Type:

Communication:
  Slack: Messages Sent (weekly active)
  Zoom: Weekly Meeting Minutes
  Discord: Active Servers

Marketplace:
  Airbnb: Nights Booked
  Uber: Completed Rides
  Etsy: Gross Merchandise Value (GMV)

Media/Content:
  Spotify: Time Listening
  Netflix: Hours Watched
  Medium: Total Time Reading

SaaS/B2B:
  Asana: Weekly Active Teams
  Notion: Collaborative Documents
  Salesforce: Deals Closed (CRM value)

Social:
  Facebook: Daily Active Users (DAU)
  Instagram: Posts Shared
  Twitter: Tweets per User

How to choose your North Star:

SKILL.md on GitHub