Diagnose a drop in conversion rate
Last updated: October 20, 2025
Quick Overview
The engagement dropped by 15% this week. Walk through your investigation process.
Stripe
October 20, 20252
8
4,443 solved
The engagement dropped by 15% this week. Walk through your investigation process.
Product questions at Stripe test your ability to think like a product leader. This Take-home Project question evaluates how you balance user needs, business goals, and technical constraints when making product decisions.
What the Interviewer Expects
- Apply a structured framework for product thinking (user, problem, solution, metrics)
- Segment users and identify differentiated needs
- Prioritize features using a clear framework (RICE, ICE, impact vs effort)
- Define comprehensive success metrics across the user funnel
- Consider competitive dynamics and market positioning
Key Topics to Cover
How to Approach This
- Start with the user. Who are they, what problem do they have, and what is their current workaround?
- Use a prioritization framework: impact vs effort, RICE scoring, or ICE scoring.
- Define success metrics using the AARRR framework: Acquisition, Activation, Retention, Revenue, Referral.
- Consider second-order effects. A feature might boost short-term engagement but hurt long-term retention.
Possible Follow-up Questions
- How would you decide to kill this feature if it's not working?
- How would you sequence the rollout across different user segments?
- How would you validate this idea before committing engineering resources?
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Browse Product QuestionsSample Answer
Problem Framing
To diagnose the 15% drop in conversion rate at Stripe, we first need to scope the problem by analyzing the user journey from awareness to conversion. This involves identifying key stages in the funnel...
User & Market Context
Our primary users are businesses ranging from startups to large enterprises that rely on Stripe for payment processing. What matters most to these users is a seamless onboarding experience, reliabilit...
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