Product design question

How would you use generative AI to create dynamic, personalized trailers for each user to increase engagement at Netflix?

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

AI/technical product thinking: defining the system architecture, data inputs, and quality measurement for a generative personalization feature.

Define the input signals needed: a user's viewing history, genre preferences, and which specific moments of a title they've historically engaged with (via existing thumbnail personalization data as a proxy).
Define the generation pipeline: select scenes likely to resonate with that user's taste profile, then use generative video/editing models to assemble a short, personalized trailer from those scenes.
Address quality control: require human or automated review to prevent spoilers, tonal mismatches, or generating misleading clips not representative of the title.
Define the evaluation metric for quality: click-through rate from the personalized trailer to a play, and completion rate of the resulting watch, versus a standard trailer control group.
Address a guardrail: viewer trust, ensuring the generated trailer doesn't overpromise or misrepresent the actual content, since trust erosion would hurt engagement long-term.

Grounds personalization in signals Netflix genuinely has, viewing history and existing thumbnail-personalization data, not invented data sources.
Explicitly addresses the generative-content quality-control problem, spoilers and misrepresentation, a real risk specific to this feature.
Defines an A/B-testable success metric, click-through and completion versus a standard trailer, not just 'personalization is better.'

Describing the AI generation mechanism in detail while skipping quality control, the biggest real risk with generative content at scale.
No control-group comparison against standard trailers, making it impossible to prove the personalized version actually works better.

How would you prevent generated trailers from including spoilers?
How would you handle titles with too little viewing data to personalize confidently?