Strategy question

How would you decide whether or not to ship 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

Execution and decision-making: structuring a ship or no-ship decision using both quantitative and qualitative evidence.

Clarify the context: Facebook Reactions, expanding the Like button into multiple emotional responses.
Define the hypothesis being tested: richer reactions increase engagement and give better signal on content sentiment.
Identify the metrics to review: usage rate of new reactions, overall engagement lift, and any negative signal like confusion or misuse.
Weigh qualitative risks, such as reactions being used for bullying (e.g. 'angry' reacts on sensitive posts).
Make a decision framework: ship if engagement and sentiment-data value outweigh measured negative-use risk, with a plan to monitor post-launch.

Names a concrete, real risk specific to this feature: reactions being weaponized on sensitive or personal posts.
Balances quantitative lift (engagement) against qualitative harm (misuse), not just one dimension.
Proposes an actual decision rule, like shipping with monitoring and a rollback plan versus shipping unconditionally.
Uses an assumed metric, e.g. requiring reaction usage above 5 percent of posts to justify the added complexity.

Deciding based only on engagement numbers and ignoring potential misuse or harm.
Giving a yes or no answer with no decision framework.
Not proposing any post-launch monitoring plan.

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