When your data keeps lying to you (and why that's sometimes okay)
Original: Why data-driven product decisions are hard (sometimes impossible)
Summary
Explores the concept of customer lifetime value (LTV), including how to calculate it, the importance of retention and margin in driving LTV, and using LTV as a key metric for making data-driven business decisions.
Who This Is For
Product Managers
Product Analysts
Founders
Key Takeaways
- Recognize common data interpretation pitfalls like analysis paralysis and measuring yesterday's users instead of tomorrow's market
- Understand when intuition should override data, especially for speed-sensitive decisions and expert product insights
- Learn to balance data-driven decisions with practical constraints like time, resources, and market evolution
- Identify the 'fog of war' scenarios where data creates more confusion than clarity in product decisions
Tools & Technologies
A/B testing platforms Product analytics dashboards Data analysis tools
Topics Covered
customer-lifetime-value retention-metrics financial-modeling data-driven-decisions
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