Metrics question

What are 10 important metrics for Spotify under engagement category? Which one would you improve? Why?

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

Breadth of metric knowledge for a streaming product and the judgment to pick the highest-leverage one to improve.

Clarify engagement means listening behavior, not acquisition or revenue, to scope the list.
List metrics across daily active listeners, sessions per user, minutes streamed, skip rate, playlist saves, follows, completion rate, discovery of new artists, repeat listen rate, and share rate.
Group them into breadth, how many artists a user engages with, and depth, how much time per session.
Pick skip rate to improve, since a high skip rate signals poor recommendations and directly hurts minutes streamed.
Explain the mechanism: better recommendations lower skip rate, which raises session length and completion rate together.
State how you would measure the improvement: skip rate change in an A/B test on the recommendation model.

Lists metrics that are genuinely distinct rather than ten variations of "time spent", and organizes them logically.
Picks skip rate specifically because it is a leading indicator that predicts several downstream engagement metrics.
Ties the chosen metric to a concrete lever, improving the Discover Weekly or radio algorithm.
Notes a guardrail: don't reduce skip rate by forcing full playback against user intent.

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