Metrics question

What metrics would you focus on as the PM for YouTube?

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

Metrics structuring for a mature, multi sided content platform balancing viewer, creator, and advertiser health.

Define the north star: total watch time or engaged viewing hours across the platform, since that's historically YouTube's core growth driver.
Add creator side metrics: number of active monetizing creators and average creator revenue, since supply health drives content quality and volume.
Add discovery metrics: percentage of watch time coming from recommendations versus search versus subscriptions, showing how well the platform surfaces content.
Add a trust and safety guardrail: policy violation rate and advertiser brand safety incidents, since these threaten the ad business if ignored.
Add a monetization metric: ad revenue per thousand views, connecting engagement to business outcomes.
Set an illustrative target, for example assuming a goal of growing creator monetized channels by 15 percent year over year.

Builds a full metric tree spanning viewers, creators, and advertisers instead of a single flat number.
Names YouTube specific metrics, like recommendation driven watch time share, rather than generic engagement terms.
Gives an illustrative target grounded in a plausible number, a 15 percent creator growth goal.
Includes a brand safety guardrail, a real and material risk for an ad funded video platform.

Focusing only on viewer engagement metrics and ignoring creator supply health, which sustains the platform long term.
Omitting a trust and safety guardrail despite it being a known, material risk for YouTube's ad business.

How would you balance creator revenue growth against maintaining a healthy ad rate for advertisers?
How would you detect if watch time growth is coming from low quality, engagement bait content?