Experimentation & Metrics

You are what you measure - metrics shape outcomes

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Most experiments fail - and that's exactly the point

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Track customer value, not vanity metrics

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A/B testing has fundamental limitations

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Learning beats winning when experimenting

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Growth requires big bets, not just optimization

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Server-side tracking beats client-side for analytics

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Short-term wins often disappear long-term

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AI breaks traditional productivity metrics

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Start with imperfect metrics and iterate

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Simple metrics beat complex composite scores

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Time-box experiments to learn fast

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Product-market fit has clear measurement thresholds

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Focus on absolute numbers, not conversion rates

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Attribution is investigation, not destination

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Leading indicators beat lagging outcomes

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Qualitative insights complete quantitative testing

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Metrics without action are entertainment

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Growth needs culture, not just experiments

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North stars should evolve with your growth

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High growth masks product problems

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