Product design question
You are the PM for Facebook newsfeed. How would you improve it?
- Meta
- Product design
- Easy
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
Core product sense: picking a user segment and pain point within a mature product rather than boiling the ocean.
How to approach it
- Pick a specific segment, for example lapsed users who check the feed less than once a week.
- State their pain point: the feed feels cluttered with ads and low relevance posts, so they do not come back.
- Prioritize relevance and signal to noise over adding new content types.
- Propose a why am I seeing this control plus a feedback loop, like hide or see less, that visibly changes the next session's feed.
- Define success as day 7 return rate for lapsed users and fewer explicit hide post actions over time.
What a strong answer includes
- Names a real segment, lapsed weekly users, instead of all users.
- Chooses transparency and control over just tuning the ranking algorithm further, since trust is a known weak spot.
- Gives an illustrative number, for example assuming a 5 percent lift in day 7 return for the segment.
- Flags the trade off with ad load, since relevance controls can reduce ad impressions.
Common mistakes
- Proposing a laundry list of features instead of one focused change.
- Ignoring that newsfeed ranking already optimizes for engagement, without explaining what is different here.
Likely follow-up questions
- How would this affect ad revenue, and how would you measure that trade off?
- How would you know the change caused the retention lift versus a coincidence?
More product design questions
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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