Product design question
How would you design a wedding registry?
- Product design
- Medium
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
Basic product design skill for a niche transactional use case, requiring the candidate to identify the multiple stakeholders involved.
How to approach it
- Identify all stakeholders: the couple creating the registry, gift-givers browsing and purchasing, and potentially multiple retailers if items come from different stores.
- Name the core pain points: couples wanting flexibility across multiple stores without managing separate lists, and gift-givers wanting to avoid duplicate purchases.
- Propose a focused feature: a universal registry that aggregates items from multiple retailers into one shareable list with real-time purchased-status sync to prevent duplicates.
- Consider monetization: an affiliate or referral fee from partner retailers when a registry item is purchased through the platform.
- Define success as percent of registry items purchased before the event date, and duplicate-purchase rate as a guardrail.
What a strong answer includes
- Explicitly names both sides of the transaction, the couple and the gift-givers, rather than designing only for one.
- Solves the real, well-known pain point of duplicate gifts with real-time sync across contributors.
- Names a monetization model consistent with how registry and gifting products typically make money.
Common mistakes
- Designing only for the couple's experience and ignoring the gift-giver's browsing and purchasing flow.
- No mention of the duplicate-purchase problem, one of the most well-known pain points in wedding registries.
Likely follow-up questions
- How would you handle cash-fund gifts alongside physical registry items?
- How would you convince retailers to integrate with a universal registry instead of keeping couples on their own platform?
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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