Product design question

Design a smart shoe.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Product sense for a hardware adjacent product: picking a specific user and use case rather than listing every possible sensor.

Pick a specific target user and use case, runners tracking form to prevent injury, rather than a generic smart shoe for everyone.
Identify the core pain point, runners often do not know their gait or impact patterns contribute to injury until it is too late.
Propose the core feature, embedded pressure sensors tracking foot strike pattern and pace, synced to an app with injury risk alerts.
Consider constraints, battery life, cost versus a normal running shoe, and durability under repeated impact and sweat exposure.
Define success metrics, active weekly runners using the insights and, ideally, a measurable reduction in self reported injuries.

Picks a specific, differentiated use case, injury prevention through gait analysis, rather than duplicating step counting.
Names concrete hardware trade offs, battery life versus sensor sampling rate, and cost premium over a standard shoe.
Sets a meaningful outcome metric, self reported injury rate reduction over a running season, not just app opens.

Chapters of the AI PM course that teach what this question tests.