VP Product translates user insights and engagement metrics into product strategy, ensuring the roadmap addresses the behaviors that drive retention and growth.
The VP of Product owns the product analytics function and must build the measurement infrastructure that allows the product team to validate decisions with data rather than assumption. DAU, MAU, and DAU/MAU stickiness ratio reveal the engagement health of the product at scale. NPS and retention rate translate user satisfaction into the financial outcomes the business depends on. Feature adoption rate and activation rate are the leading indicators of product strategy effectiveness. They show whether new investments are being used and whether new users are successfully onboarded into the product's core value. Time to value (TTV) is the VP Product's most impactful levers for improving conversion and retention simultaneously: reducing TTV gets users to their aha moment faster, which drives both trial conversion and early retention. The VP Product bridges product analytics and business metrics, making the case to the CEO and CPO for product investments in terms of their expected impact on NRR, churn reduction, and LTV.
If you cannot answer these, you are missing critical visibility into your function.
Every metric includes definition, formula, platforms, causal drivers, and Q&A.
Each guide covers the full set of KPIs for that function with role-specific context.
askotter gives VP Products causal visibility into every metric on this list, so you can act on root causes, not symptoms.
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