Metrics question

Define the success metrics for videos on the Facebook Newsfeed.

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 design for a content feature inside a broader social platform, checking you build a tree rather than naming one vanity number.

Clarify the goal video serves in Newsfeed, likely increasing time spent and engagement without cannibalizing other content types.
Propose a primary metric, average watch time per video view or completion rate, since raw view count is easily inflated by autoplay.
Add engagement metrics: likes, comments, and shares specific to video posts, to capture quality beyond passive viewing.
Add a guardrail metric, overall Newsfeed session time and non-video content engagement, to catch cannibalization of other post types.
Consider creator-side metrics if relevant, like video posting frequency, since supply matters for a healthy video ecosystem.
Combine into a short scorecard and confirm whether the interviewer wants a single north star or a fuller metric tree.

Proposes completion rate or watch time past a threshold, like 10 seconds, as more meaningful than raw view count, which autoplay inflates trivially.
Explicitly includes a cannibalization guardrail, checking that video growth isn't just displacing photo or text post engagement.
Distinguishes passive metrics, like watch time, from active engagement, like shares, since shares indicate genuine value delivered.
Notes that view counts alone are gameable by autoplay and should never be the sole success metric.

Naming view count as the primary success metric without addressing autoplay inflation.
Not including any guardrail against cannibalizing other Newsfeed content types.
Ignoring creator-side supply metrics entirely.

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