Product design question

Design a product for job seekers to create resumes and find the best matching jobs easily and quickly.

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 matching problem, from user pain point to a prioritized solution.

Define the primary user: a job seeker with limited time, not fully sure how to frame their experience for a given role.
Identify their top pain points: writing a resume from scratch and sifting irrelevant job postings.
Prioritize solving resume creation with guided templates and job matching with a skills-based filter, since together they close the loop fastest.
Design the core flow: import existing resume or LinkedIn data, extract skills, then surface ranked job matches with a fit explanation.
Define success metrics: resumes completed, application rate on matched jobs, and eventual interview or offer rate as a lagging signal.

Names a specific segment, like recent graduates or mid-career switchers, since their resume and matching needs differ.
Explains why 'fit explanation' (why this job matches) builds trust and drives more applications than a raw match score.
Gives an illustrative funnel number, e.g. 40% of resume completers apply to at least one matched job, marked as an assumption.
Addresses cold start: how matching works before enough resume and application data exists.

Designing resume building and job matching as disconnected features instead of one flow.
Ignoring employer-side signal quality, which determines whether matches are actually useful.

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