Product design question
How would you improve Facebook birthdays?
- Meta
- Product design
- Easy
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What this question tests
Tests product sense on a small, easily-overlooked feature, showing you can still find a real, specific improvement rather than dismissing it.
How to approach it
- Identify the current experience: a birthday reminder and a comment thread on the birthday person's timeline, which is functional but shallow.
- Identify the pain point: birthday wishes are low-effort and generic ('Happy Birthday!'), so they don't feel meaningful to either party.
- Propose an improvement: a lightweight guided prompt suggesting a shared memory (photo, post) to include with the wish, making it more personal with minimal extra effort.
- Consider the birthday person's side too: a simple, curated 'best wishes' highlight reel they can revisit, rather than scrolling a long comment thread.
- Define success: increase in wishes that include a photo or memory (versus plain text) and the birthday person's engagement with the recap.
What a strong answer includes
- Finds a genuine, specific improvement (memory-prompted wishes) instead of dismissing the feature as too minor to improve.
- Addresses both sides of the interaction, the wisher and the birthday person, rather than just one.
- Uses an illustrative number, e.g. assume 80% of birthday comments today are generic text-only, showing room to make wishes more meaningful.
- Picks a measurable proxy for 'meaningfulness' (photo/memory-attached wishes) instead of a vague quality claim.
Common mistakes
- Treating the question dismissively since it's a minor feature, and giving a shallow or joke answer.
- Proposing changes that add friction to what should remain a fast, low-effort action.
Likely follow-up questions
- How would you avoid this feature feeling like more work for people who just want to send a quick wish?
- How would you measure whether the recap feature actually made birthdays feel more special?
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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