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Naomi Gleit

Meta

4 debates 4 evidence cards 1 episode
Metrics How should you define and measure your product's activation moment?

"Find the behavioral proxy that correlates with long-term retention, then ruthlessly optimize for it"

Metrics Should product decisions be driven primarily by data and experimentation, or by taste and intuition?

"Strongly data-driven and product-driven. Pioneered the approach of using data and experimentation as the primary growth engine, replacing traditional marketing-led growth."

Growth What is the most reliable way to know if you've achieved product-market fit?

"Retention cohort curves flattening is the ultimate proof of PMF"

Product How much should teams invest in user research, and is most research performative?

"Data instrumentation first, then research - 'I guess when you can know'"

Meta

The new user experience (upload photo, find friends) was built specifically to drive the activation metric

Facebook used growth accounting to discover retention was the biggest lever, then identified friending as the key behavioral proxy

Meta

Facebook growth team stopped all roadmap work in January 2009 to focus exclusively on data instrumentation

7 friends in 10 days (or 10 in 14) -- even the original team is not sure which was first, suggesting the specific number mattered less than the shared goal

Meta

The '7 friends in 10 days' and '10 friends in 14 days' metrics were equivalent points on the same retention curve

Facebook's growth team was composed of engineers and PMs, not marketers, instrumenting every step of the user journey

Meta

Facebook growth team stopped all product roadmap work in January 2009 for pure data instrumentation

The 7 friends in 10 days (or 10 friends in 14 days) activation metric became the North Star for retention

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