Product design question

Design a product for people to find a mentor.

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 design for a trust based matching problem, balancing discovery, credibility signals and ongoing engagement.

Define the target user and mentorship context, such as early career professionals seeking guidance in a specific field.
Identify the core challenge, finding a mentor with relevant, credible experience who is actually willing and available to help.
Propose a focused MVP, a profile based matching system with verified experience and clear availability or commitment signals.
Address the trust problem directly, using verification and structured intro conversations rather than open, unscreened matching.
Define a success metric, such as percentage of matches that lead to an ongoing mentorship relationship after the first session.

Focuses on the trust and matching quality problem, not just building a directory, since finding a good mentor is the real difficulty.
Proposes a concrete mechanism, verified profiles plus availability signals, to make matches meaningful rather than random.
Names a retention style metric, ongoing relationship rate after first session, rather than just number of matches made.

Building a simple directory without addressing how to verify credibility or ensure mentor commitment.
Measuring success by matches made instead of whether real, lasting mentorship relationships form.

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