Product design question
Design a product to connect badminton players.
- Flipkart
- Product design
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Product design for a niche community and matchmaking product, defining the core loop for a specific sport.
How to approach it
- Clarify the goal, casual pickup game matching, competitive league organization, or coaching and skill-building.
- Identify the core user need, finding players of a similar skill level nearby and at a compatible time.
- Design the core loop, a profile with skill level and availability, a nearby match browser, and a simple request-to-play flow.
- Address trust and safety, a rating system after each match to keep skill levels honest and filter out no-shows.
- Consider venue integration, showing available courts nearby to reduce the friction of finding a place to play.
- Define success metrics, match request to confirmed game conversion rate and repeat play rate within a month.
What a strong answer includes
- Designs a concrete matching loop, skill level plus availability plus location, not a generic social network for badminton players.
- Addresses the no-show and skill mismatch problem directly with a post-match rating system, a real pain point in pickup sports apps.
- Considers venue availability as part of the core flow, since finding a court is often the bigger barrier than finding a partner.
- Sets a meaningful funnel metric, request-to-confirmed-game rate, rather than just app downloads or sign-ups.
Common mistakes
- Designing a generic social network without addressing skill matching or no-shows.
- Ignoring venue or court availability as part of the user's actual problem.
- Not defining a metric beyond sign-ups.
Likely follow-up questions
- How would you handle players who frequently no-show.
- How would you verify claimed skill levels.
- How would you expand this to other niche sports.
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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 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop