Product design question
Design a social travel product.
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What this question tests
Tests full product design combining two hard problems, trust in a marketplace/social context and discovery, without an existing template to lean on.
How to approach it
- Define the target user: social travelers who want to plan trips with friends or meet like-minded travelers, distinct from solo trip-planning tools like TripIt.
- Identify the core pain point: coordinating group trip decisions (dates, budget, itinerary) is scattered across chat apps, docs, and separate booking sites.
- Design the core loop: a shared trip board where group members vote on destinations/activities, synced with a lightweight budget tracker and itinerary view.
- Add a social discovery layer: see where friends have traveled and get recommendations based on their trips, differentiating from purely logistical tools.
- Define success: completed trip-plans per group (a plan that results in actual bookings) and repeat group-trip creation rate.
What a strong answer includes
- Picks group trip coordination as the specific wedge, a real, underserved pain point, rather than a generic 'travel social network'.
- Differentiates clearly from existing tools (TripIt for solo logistics, Instagram for passive travel inspiration) by naming the gap between them.
- Uses an illustrative number, e.g. assume group trips take 15+ messages across apps to plan today, motivating a single shared tool.
- Picks outcome-based success metrics (completed plans, repeat usage) over vanity metrics like sign-ups.
Common mistakes
- Designing a generic photo-sharing travel app without a clear differentiated core loop.
- Not addressing group decision-making friction, which is the actual pain point 'social travel' implies.
Likely follow-up questions
- How would you monetize this without adding friction to the free planning experience?
- How would you bootstrap the social/discovery layer before you have a large user base?
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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