Strategy question
Merchants have reported that requiring billing details in Stripe Checkout is causing friction and negatively impacting conversion rates. How would you respond to this feedback?
- Stripe
- Strategy
- Medium
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What this question tests
Whether you can balance conversion optimization against fraud and compliance needs when merchants push back on a required field.
How to approach it
- Understand why billing details are required today, likely fraud prevention and card network compliance requirements like AVS checks.
- Quantify the actual friction, look at drop off rate specifically at the billing details step versus other steps, since the complaint may be louder than the real data impact.
- Segment by risk, since low risk, low value transactions may not need full billing detail collection while high value ones do.
- Propose a solution: make billing address optional for low risk transaction profiles determined by a risk score, while keeping it for flagged or high value ones.
- Test this as an experiment on a subset of merchants before rolling out broadly, since removing a fraud signal carries real risk.
- Define success as conversion rate improvement without a meaningful rise in chargeback or fraud rate.
What a strong answer includes
- Does not simply remove the field on merchant complaint, first checks whether data supports the friction claim.
- Proposes risk based conditional logic instead of an all or nothing change, which balances both concerns.
- Sets a clear guardrail, fraud and chargeback rate, before committing to a broader rollout.
Common mistakes
- Removing the requirement for all merchants immediately just because of complaints, ignoring fraud risk.
- Dismissing merchant feedback entirely without investigating the actual friction.
Likely follow-up questions
- How would you explain a rise in fraud to merchants if it happens after this change?
- How would you build the risk score used to decide who skips billing details?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop