Product design question

Improve Facebook comments.

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

Whether you can find a specific weakness in a mature, well-known feature and propose a targeted improvement.

Clarify what is being improved: comment quality, engagement, or moderation, since Facebook comments already has broad usage.
Identify the core pain point: low-quality or toxic top comments burying thoughtful replies, especially on public posts.
Segment by context: comments on a friend's post behave differently from comments on a public page or viral post.
Prioritize ranking quality on high-traffic public posts, where toxic or spam comments do the most damage to experience.
Propose a concrete change: better comment ranking that weighs relevance and reply quality, plus lightweight tools like comment filters for owners.
Define success metrics: rate of meaningful replies to top comments, with a guardrail on reports or hidden comments.

Picks a specific, real pain point, low-quality top comments on public posts, instead of a vague make it better.
Segments by context, friend posts versus public pages, since the problem is concentrated in one area.
Proposes a concrete ranking or filtering mechanism, not just more moderation staff.
Names a guardrail, hidden or reported comment rate, to check the change actually improves quality.

Proposing a broad redesign of comments instead of a targeted fix for a specific pain point.
Ignoring that the problem differs sharply between private friend posts and viral public posts.

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