Product design question

You're the new product manager for YouTube and you notice a drop in video engagement by 15% over the past two weeks. What do you do?

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

Root-cause diagnosis of a metric decline over a meaningful time window, requiring segmentation before jumping to a fix.

Confirm the drop is real and consistently measured: check for a tracking or definition change in 'engagement' across the two-week window.
Segment by content category, device/platform, geography, and creator tier to see where the decline concentrates rather than assuming it's platform-wide.
Check for external causes: a recent ranking algorithm change, a competitor's rise, or a seasonal dip, like a slow news or event period.
Correlate the timing precisely with any recent YouTube product or algorithm changes within that two-week window.
Based on the localized root cause, propose next steps: a targeted fix if it's a bug or algorithm regression, or a monitoring period if it's likely seasonal noise.

Segments methodically across content type, platform, and geography before forming a hypothesis, rather than guessing broadly.
Explicitly considers seasonality as a plausible, non-alarming explanation, showing calibrated judgment.
Ties the investigation to a specific recent change within the same window, not a vague list of possible causes.

Jumping straight to a content or algorithm fix without first confirming and localizing where the drop is concentrated.
Ignoring seasonality as a possible benign explanation for a two-week dip.

How would you distinguish a seasonal dip from a real structural decline?
What would you tell your manager if you can't identify a clear cause within a week?