Product design question

How would you improve Facebook Jobs?

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 in a two sided marketplace context: balancing job seeker and employer needs on a feature many candidates underuse.

Identify the two user sides: job seekers, often in local and blue collar roles, and small business employers posting openings.
Name pain points: job seekers face low quality or stale listings, and employers get too many unqualified applicants.
Propose a solution for seekers: better local, mobile-first filtering by commute distance and shift type, since Facebook Jobs skews toward local hourly work.
Propose a solution for employers: lightweight applicant screening questions built into the post so unqualified applicants self-select out.
Prioritize the employer-side screening first since low quality applicant volume likely drives employer churn from the product.
Define success as applications per posting and employer retention (percent who post a second job within 90 days).

Grounds the pitch in Facebook Jobs' actual niche, local and hourly work, instead of pitching a generic LinkedIn-style redesign.
Names a specific mechanism, screening questions at posting time, to fix employer-side quality complaints rather than a vague trust improvement.
Picks employer retention as the leading metric since a two sided marketplace fails first from supply (employer) churn.

Proposing generic job board features that ignore Facebook Jobs' local, informal niche.
Optimizing only for job seeker experience while ignoring employer quality complaints.

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