Strategy question
The Netflix marketing team observed that there are many people ordering food when they are watching movies on Netflix. What is the Product Manager's take on this?
- Netflix
- Strategy
- Hard
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What this question tests
Tests strategic judgment on whether an observed adjacent behavior is worth Netflix building a product around, versus staying in its core lane.
How to approach it
- Assess the signal: people ordering food while watching is a real behavior pattern, but it doesn't automatically mean Netflix should build a food product.
- Weigh core-competency fit: Netflix's strength is content and recommendation, not food logistics, delivery or restaurant relationships.
- Consider lighter-touch options short of building a delivery business: a contextual partnership with DoorDash or Uber Eats surfaced during a watch session, rather than owning fulfillment.
- Recommend against Netflix building its own food product; instead pursue a co-marketing or light integration partnership if the data shows a strong, monetizable pattern.
- Define success for a partnership, if pursued, as attach rate of food orders during Netflix sessions and partner revenue share, without adding Netflix operational overhead.
What a strong answer includes
- Correctly separates an interesting behavioral observation from a good build decision, the core judgment this question tests.
- Weighs the idea against Netflix's actual core competency instead of assuming any adjacent opportunity should be pursued.
- Proposes a lower-risk partnership path instead of an expensive full build into an unrelated logistics business.
Common mistakes
- Jumping straight to building an in-house food delivery product without weighing core competency fit.
- Treating an interesting marketing observation as proof of a viable, buildable product opportunity.
Likely follow-up questions
- How would you validate this pattern is strong enough to act on at all?
- What would a partnership deal with a delivery company look like concretely?
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More questions from Netflix
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop