Product design question

How would you improve Facebook Reactions?

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 mature feature, finding a real gap in current functionality rather than proposing cosmetic changes.

State the current state, the fixed reaction set gives a coarse emotional signal on posts.
Identify the gap, reactions do not capture context specific sentiment well, for example a job loss post getting a Like feels wrong.
Propose a specific improvement, context aware reaction sets that adapt to post type, such as support oriented reactions on sensitive posts.
Explain the value to both users and the platform, better emotional expression for users, richer ranking signal for the platform.
Define the success metric, reaction usage rate and reduction in reports of a reaction feeling inappropriate.

Identifies a specific, real gap, generic reactions feeling mismatched on sensitive posts, rather than a vague add more emoji answer.
Proposes a concrete mechanism, detecting post sentiment via existing content classifiers to surface a more fitting reaction set.
Ties the improvement to a business benefit, richer reaction data improving the ranking algorithm's understanding of content quality.

Proposing to simply add more emoji options with no reasoning for why that solves a real problem.
Ignoring how the change would affect the ranking algorithm that relies on existing reaction signals.
No metric for whether the new reactions improve user expression.

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