Product design question
Design Expedia.
- Wayfair
- Product design
- Hard
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
End to end product design skill on a complex, high volume marketplace with many traveler personas and monetization angles.
How to approach it
- Confirm scope: web and app booking flow for flights, hotels, or the full trip planning experience.
- Segment users: budget leisure travelers, business travelers, and families, since their priorities differ sharply.
- Identify pain points: overwhelming search results, hidden fees, and difficulty comparing bundled options.
- Prioritize solving search relevance and price transparency first, since they affect the largest segment.
- Propose a solution: a guided search with transparent total price and a saved comparison tray.
- Define success with booking conversion rate and post booking satisfaction as the core metrics.
What a strong answer includes
- Picks one traveler segment to design for deeply, such as budget leisure, rather than boiling the ocean.
- Names a specific pain point, hidden fees at checkout, that is well known in the travel category.
- Proposes a concrete feature, a total price toggle, not just 'improve UX'.
- Sets an illustrative target, like a 5 percent lift in search to book conversion.
Common mistakes
- Tries to redesign the entire platform instead of a focused flow.
- Ignores monetization tradeoffs like ad placements and affiliate commissions that fund the business.
Likely follow-up questions
- How would you balance showing the cheapest option against Expedia's own margin?
- How would you measure trust in the price shown at checkout?
- How would this differ for a last minute business traveler versus a planned family trip?
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More questions from Wayfair
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