Google — YouTube — Product Case Questions

Role context: Data Scientist (Product Analytics), YouTube · Est. study time: 60 min · 5 questions

How to approach YouTube product cases

Every case is one move in a single chain: structure the ambiguous question → decompose into a data problem → pick the metric that reflects real value → name the bias and trade-off → land a decision for leadership. YouTube's flavor is specific, and strong answers use its real vocabulary:

• The North Star is (valued) watch time, chosen over clicks because clicks reward clickbait — and watch time itself can be gamed, so it always travels with a satisfaction guardrail ("not interested," surveys, dislikes).
• Decompose blended numbers — Shorts vs long-form, new/casual/regular viewers, region — before theorizing.
• Offline wins don't equal online wins; the live experiment decides.
• The big surfaces are multi-sided (viewers / creators / advertisers), so name the cross-side trade-off.

These map to the four case shapes — diagnose, measure success, launch-or-not, and measure impact without a clean experiment — and the five below span all four.

Each answer is a coaching walkthrough: a Sample answer (clarify → approach → a simulated back-and-forth → a clear call), then a Deep dive with illustrative example, then a Grading rubric.