Product design question
Design a new Facebook feed where you can find nearby businesses like bars and coffee shops.
- 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.
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What this question tests
Tests product design for local discovery, weighing overlap with existing surfaces against a genuinely new gap.
How to approach it
- Pick a user: someone new to an area or looking for a spontaneous nearby spot, not a planned researcher.
- Identify the pain: existing feed content is social, not location-aware, so nearby discovery is passive.
- Check overlap with Facebook Local and Marketplace, and find the gap: no passive, friend-based nearby discovery.
- Design the mechanic: an in-feed card surfacing places friends checked into or reviewed nearby.
- Prioritize social proof, friend visits and reviews, as the differentiator over generic business listings.
- Define success as click-through to a business profile and, ideally, a verified visit afterward.
What a strong answer includes
- Leverages the social graph, the real differentiator, rather than competing head-on with Yelp or Maps.
- Explicitly checks for overlap with existing features before proposing something new.
- Picks a success metric tied to real-world follow-through, visit or check-in, not just impressions.
Common mistakes
- Building a generic local-search feature that duplicates existing tools with no social differentiation.
- Ignoring existing surfaces that might already solve this.
Likely follow-up questions
- How would this differ from Facebook Local, and would you retire that instead?
- How would you handle areas with few friend check-ins?
- What would you measure to know this is additive, not cannibalizing?
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More questions from Meta
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