role guide

KPIs Every VP of Product Must Track

VP Product translates user insights and engagement metrics into product strategy, ensuring the roadmap addresses the behaviors that drive retention and growth.

Vice President of Product

why it matters

Why these metrics matter

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.

diagnostic

Questions you should be able to answer

If you cannot answer these, you are missing critical visibility into your function.

What product behaviors in the first 7 days most strongly predict 90-day user retention?
Is feature adoption for recently shipped features meeting our expected adoption thresholds?
What is our current activation rate from signup to first meaningful action, and where do users drop off?
How is our DAU/MAU stickiness trending, and which user segments are most and least sticky?
What is our time-to-value from signup, and what single onboarding change would most reduce it?
How does NPS trend correlate with product change milestones, and which releases most improved it?

metric library

Your core KPIs

Every metric includes definition, formula, platforms, causal drivers, and Q&A.

Daily Active Users

DAU

Daily Active Users (DAU) counts the number of unique users who perform at least one meaningful action in a product on a given day.

Monthly Active Users

MAU

Monthly Active Users (MAU) counts the number of unique users who perform at least one qualifying action within a 30-day period.

Net Promoter Score

NPS

Net Promoter Score (NPS) measures customer loyalty and satisfaction by asking respondents a single question: "How likely are you to recommend this product to a colleague or friend?" on a 0–10 scale.

Retention Rate

Retention Rate measures the percentage of users or customers who continue to use a product or service in a given period after their initial acquisition.

Feature Adoption Rate

Feature Adoption Rate measures the percentage of eligible users who have used a specific product feature at least once (or at a defined frequency) within a time period.

Time to Value

TTV

Time to Value (TTV) measures the elapsed time between a customer signing up or purchasing a product and the moment they first experience the core value it delivers (the "aha moment").

Activation Rate

Activation Rate measures the percentage of newly signed-up users who complete a defined set of onboarding actions that indicate they have experienced initial product value and are likely to continue using the product.

DAU/MAU Stickiness Ratio

The DAU/MAU Stickiness Ratio measures the percentage of monthly active users who are also daily active users, indicating how deeply habituated users are to the product.

Customer Health Score

CHS

Customer Health Score is a composite metric that combines multiple behavioral, engagement, and relationship signals to produce a single score indicating how likely a customer account is to renew, expand, or churn.

causal intelligence

How causal analysis changes the game

For VP Products: A/B testing product changes against retention and activation outcomes provides the causal evidence VP Product needs to prioritize features based on validated impact rather than stakeholder preference or intuition.

explore

Explore other role guides

Each guide covers the full set of KPIs for that function with role-specific context.

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