Metrics question
How would you increase the Weekly Active Users (WAU) in Cred?
- CRED
- Metrics
- Medium
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What this question tests
Growth strategy grounded in CRED's specific business model: can you increase weekly engagement for a product whose core action, credit card bill payment, is inherently infrequent.
How to approach it
- State the core challenge: bill payment happens roughly once a month, so weekly active usage cannot come from the core action alone.
- Identify CRED's existing secondary hooks: CRED Store rewards, CRED Mint or lending features, and gamified reward stacks, since these are designed to drive usage between bill cycles.
- Prioritize strengthening the reward and offers ecosystem, since it gives users a reason to open the app for reasons unrelated to paying a bill.
- Propose a specific lever: personalized weekly offer drops or milestone based reward reveals that create a habitual reason to check in.
- Address retention risk, since purely gamified engagement can attract low value, reward seeking users rather than genuine credit card holders CRED wants.
- Define success as WAU growth alongside stable or improving core metrics like bill payment volume, so growth is not gamed at the expense of the primary business.
What a strong answer includes
- Correctly identifies that the core action is monthly, so WAU growth must come from adjacent features, not the bill payment flow itself.
- Flags the risk of attracting low value reward chasers, a real tension for a credit focused fintech product.
- Ties the WAU metric back to core business health, preventing a hollow engagement win.
Common mistakes
- Proposing to increase bill payment frequency, which is not realistically controllable by the product.
- Ignoring the risk that gamification could attract the wrong kind of user.
Likely follow-up questions
- How would you tell genuine engagement from reward farming behavior?
- Which secondary feature would you invest in first and why?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop