Product design question

How would you improve Facebook tagging?

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 sense for a well established social feature, finding a real remaining friction point.

Pick a segment, for example users tagged in photos they did not approve versus users actively tagging friends.
Identify a pain point: being tagged in an unflattering or unwanted photo without prior review causes real discomfort.
Prioritize tag approval control over discovery features, since control over one's own image is the core trust issue here.
Propose an opt in review step where tagged users approve appearing in a photo before it becomes visible to their network.
Balance this against the tagger's experience, keeping the flow fast so approval does not discourage tagging altogether.
Define success as reduction in tag removal requests and increase in tagger satisfaction with approval turnaround time.

Targets a specific, real known complaint, unwanted tagging, rather than a vague 'make tagging better' answer.
Balances the tagged user's control against the tagger's experience, showing awareness of the two sided nature of the feature.
Gives an illustrative number, e.g. assumes 15 percent of tags are currently removed after the fact, signaling unwanted tagging.
Proposes a fast approval flow to avoid killing the spontaneity that makes tagging useful in the first place.

Proposing unrelated feature additions instead of addressing the known unwanted tagging friction.
Only considering the tagged user's control and ignoring the tagger's experience entirely.
No metric tied to whether the change actually reduced unwanted tagging complaints.

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