Metrics question

Zoom has introduced a new feature that allows users to send emoji reactions during meetings. How would you assess the effectiveness of this new feature?

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 the candidate can define lightweight, non-intrusive success metrics for a low-friction engagement feature in a work tool.

Clarify the goal: emoji reactions let participants give quick, non-disruptive feedback during a meeting without unmuting or interrupting.
Define adoption metrics: percent of meetings where reactions are used, and reactions sent per active meeting participant.
Define a quality signal: whether reactions correlate with reduced verbal interruptions or chat spam during meetings, since that's the intended replacement behavior.
Segment by meeting type, since reactions likely matter more in large webinars or all-hands than in small 1:1 calls.
Set a guardrail: no negative impact on meeting focus, such as excessive reaction spam becoming a distraction itself.

Ties the metric to the feature's actual intended job, reducing disruptive interruptions, not just raw usage count.
Segments by meeting size, since a feature meant for large webinars shouldn't be judged the same way in small team calls.
Adds a guardrail against reaction spam becoming its own distraction, showing awareness of a realistic failure mode.

Measuring only total reactions sent without connecting it to the feature's actual purpose.
Ignoring differences in meeting size and type when interpreting usage data.

How would you know if reactions are replacing more disruptive behaviors like unmuting to interject?
What would you do if usage is high mainly in casual meetings but not in the large webinars it was designed for?