Product design question

Design an application launching in the US marketplace that enables patients to find doctors.

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

End to end product design for a two sided healthcare marketplace, balancing patient trust and provider incentives.

Clarify scope: primary care, specialists, or both, and whether booking and payment happen in app.
Identify users: patients searching for a nearby, in network, available doctor, and doctors who want qualified bookings.
Surface pain points: patients cannot judge quality or availability quickly, and doctors waste slots on no shows or mismatched needs.
Prioritize trust signals (reviews, insurance match, wait time) as the core value over cosmetic features.
Propose a solution: search filtered by insurance and specialty, real time availability, and verified reviews.
Define success as completed bookings per active patient and no show rate for doctors.

Leads with insurance network matching as the top filter, since that is the biggest real world blocker to booking in the US.
Addresses trust with verified reviews and license checks, not just star ratings, which is critical in healthcare.
Gives an illustrative target, e.g. assumes reducing time to book from 20 minutes of calling to under 3 minutes in app.
Considers the doctor side incentive: reducing no shows through deposits or reminders, not just patient facing features.

Designing only for patients and ignoring what would make doctors want to list and maintain accurate availability.
Skipping insurance and network matching, which is the single biggest friction point in US healthcare search.
No trust or verification mechanism for reviews or provider credentials.

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