Product design question
How would you improve Facebook Birthdays?
- 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.
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What this question tests
Product sense for a smaller, mature feature, finding a real gap in a well known but rarely reconsidered flow.
How to approach it
- State the current experience, the platform reminds users of friends' birthdays and prompts a quick post on their wall.
- Identify the gap, birthday wishes are often generic and low effort, and the feature does not help users give something more meaningful when they want to.
- Propose an improvement, surfacing shared memories, photos, or a suggested personalized message based on recent interactions with that friend.
- Consider the opt in and privacy angle, not everyone wants birthday reminders shared publicly, so respect existing privacy settings.
- Define success metrics, percent of birthday reminders resulting in a post or message, and qualitative feedback on message personalization.
What a strong answer includes
- Names a specific, real gap, generic low effort birthday wishes, rather than proposing an unrelated feature change.
- Proposes a concrete mechanism, surfacing a relevant shared memory or photo to inspire a more meaningful message, grounded in the platform's real shared history data.
- Sets a metric tied directly to the improvement, conversion rate from reminder to an actual personalized post or message, not just reminder click rate.
Common mistakes
- Proposing a feature disconnected from the actual current birthday reminder flow.
- Ignoring privacy considerations around resurfacing old photos or memories.
- No metric to measure whether messages actually became more meaningful or personal.
Likely follow-up questions
- How would you handle a friend who has hidden their birthday from public view?
- How would you measure meaningful versus just a longer message?
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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