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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
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