Product design question
Design a product for groups of people to plan trips.
- Meta
- 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.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Product design fundamentals: identifying real user pain in group coordination and prioritizing a focused solution.
How to approach it
- Users: friend groups planning a trip together, typically 4 to 8 people with different budgets and schedules.
- Pain points: scattered planning across chat, spreadsheets, and booking sites, and decision paralysis on dates and destination.
- Prioritize: focus on the biggest friction, likely date coordination and shared itinerary, not booking itself.
- Solution: a shared poll for dates and destination, a collaborative itinerary board, and expense splitting.
- Success metric: percent of trip plans that convert to a booked trip, and time from group creation to finalized dates.
- Note what you would confirm: whether this is a standalone app or a feature inside an existing product like Messenger.
What a strong answer includes
- Narrows scope to the highest-friction step, date and destination alignment, instead of building a full travel booking suite.
- Proposes a lightweight mechanic, like a swipe based vote on destinations, grounded in known group decision friction.
- Defines a clear success metric, for example 30 percent of created trip groups reach a finalized itinerary within 2 weeks (assumption).
Common mistakes
- Trying to build a full booking and payments platform instead of the coordination layer.
- No prioritization, listing every possible feature.
- Success metric that is vanity, like number of app downloads.
Likely follow-up questions
- How would you handle a group where members disagree on budget?
- What would you cut first if you had half the engineering time?
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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