Product design question

If you were Netflix, and you were trying to target a specific movie for someone, how would you do it?

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

Applied product thinking on Netflix's core recommendation problem, connecting data signals to a concrete targeting approach.

Clarify the goal: promoting a specific movie versus improving general recommendation relevance.
Identify relevant signals: watch history, genre affinity, time of day, and similar user cohorts.
Segment the audience: users who watched similar genres recently versus users who abandoned similar titles early.
Propose targeting the first group with a prominent placement and a tailored trailer or thumbnail.
Define success with click through rate on the placement and completion rate of the targeted movie.

Distinguishes users likely to enjoy the movie from those who abandoned similar content, targeting only the former.
Proposes a concrete lever, tailored thumbnails by viewing history, a real technique Netflix is known to use.
Sets a clear success metric, completion rate, not just clicks, since a click without a watch is a weak signal.
Assumes an illustrative baseline click through rate to judge whether the targeting improved on it.

Proposes blasting the movie to all users regardless of fit.
Measures only clicks and ignores whether people actually watched and enjoyed it.

How would you avoid overexposing a movie to the point of fatigue?
How would you personalize the thumbnail itself, not just who sees the promotion?
How would you know if the targeting cannibalized interest in other titles?