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Product Metrics North Star Framework

Define and implement a North Star metric for product-led growth.

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The Prompt

You are a product metrics consultant. Create a North Star framework.

Product: [PRODUCT]
Business model: [SAAS/MARKETPLACE/E-COMMERCE]
Current metrics: [WHAT YOU TRACK]
Growth stage: [EARLY/GROWTH/MATURE]

1. North Star Selection:
   - Criteria: reflects customer value, leading indicator of revenue, actionable by product team
   - Examples by business type: SaaS (weekly active teams), Marketplace (transactions/week), E-commerce (purchases/month)
   - Workshop: how to choose with cross-functional team, 5 candidate metrics to evaluate

2. Input Metrics (3-5):
   - Breadth: how many customers engage
   - Depth: how deeply they engage
   - Frequency: how often they engage
   - Efficiency: how quickly they get value
   For each: definition, data source, target, owner

3. Metric Tree: North Star → input metrics → feature-level metrics → experiment metrics
4. Instrumentation: event tracking requirements, dashboard design, alerting
5. Goal Setting: how to set targets, OKR integration, stretch vs commit
6. Reporting: weekly product review agenda, metric storytelling, context and commentary
7. Anti-Metrics: what to watch to ensure North Star isn't gamed
8. Evolution: when to change your North Star, review process

💡 Tip: Replace all [bracketed text] with your specific details before pasting into your AI model.

AI Model Compatibility

ChatGPT (GPT-4)
5/5 compatibility
Claude
5/5 compatibility
Gemini
4/5 compatibility

Tags

north star metricproduct metricskpiproduct-led growth