Product design question
Design a product for teenagers to have more empathy.
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
Ability to design for a soft, hard-to-measure outcome (empathy) with a concrete mechanism and metric proxy.
How to approach it
- Define the user: teenagers navigating social conflict and identity formation, where low empathy shows up as bullying or dismissiveness online and offline.
- Identify a concrete mechanism: perspective-taking exercises embedded in a social or messaging context teens already use.
- Prioritize one mechanism, like a 'see it from their side' prompt shown before sending a harsh message, over a broad curriculum app.
- Design lightweight, non-preachy interactions, since teens disengage from anything that feels like a lecture.
- Define a measurable proxy for empathy: reduction in flagged harsh messages sent, or increased use of supportive reactions/comments.
- Pilot with schools or youth organizations to validate tone and effectiveness before a broad launch.
What a strong answer includes
- Grounds an abstract goal (empathy) in a measurable proxy, like reduced harsh-message sending, rather than an unmeasurable soft outcome.
- Proposes a specific, non-preachy mechanism, like a pause-and-reflect prompt, rather than a generic education app teens would ignore.
- Gives an illustrative metric, e.g. a 10% drop in retracted or reported messages after prompt exposure, marked as an assumption.
- Notes the importance of piloting with real teens and educators to avoid a tone that feels patronizing.
Common mistakes
- Proposing a content or curriculum-heavy solution that ignores how teens actually behave online.
- Picking an outcome with no measurable proxy, making success impossible to evaluate.
Likely follow-up questions
- How would you measure something as intangible as empathy?
- How would you avoid the product feeling preachy to teens?
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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