Metrics question

What data points would you would like to track to know if zoom meeting was successful or not?

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

Ability to define meaningful success signals for a video call product beyond simple call-happened logging.

Clarify success means the meeting achieved its communication purpose with minimal technical friction.
Track quality data: audio and video drop rate, latency, and reconnection attempts during the call.
Track engagement data: whether invited participants joined, how long they stayed relative to scheduled duration, and screen-share use.
Track post-meeting signal: participant-reported effectiveness, if a feedback prompt exists, or repeat use of a recurring meeting.
Segment by meeting size and type, since a 1:1 call and a large webinar have different success signals.
Combine these into a composite healthy-meeting score used to flag technical issues versus genuinely low-value meetings.

Separates technical quality from engagement and value signals, a meaningful distinction many candidates skip.
Proposes segmenting by meeting size and type, recognizing a webinar and a small standup need different definitions of success.
Suggests a composite score as a practical way to flag problems at scale rather than eyeballing many metrics.
Considers post-meeting effectiveness feedback, tying the technical product to the actual communication goal.

Tracking only whether the call connected, without any quality or engagement signal.
Treating all meeting types and sizes the same.
Ignoring the actual communication purpose in favor of pure technical uptime metrics.

How would you use this data to proactively alert users to a bad connection mid-call?
How would you avoid over-surveying users for feedback after every meeting?
How would you weigh technical quality versus subjective meeting value in a single score?