Netflix Product Sense: Help Members Choose What to Watch with Better Personalization
Company: Netflix
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager at Netflix, and you have been asked how you would make its recommendations better. Choose which members and which part of the recommendation experience to focus on, identify where those members struggle to decide what to watch, propose and prioritize improvements, and explain how you would know whether they worked.
```hint Look past the ranking model
Members meet recommendations through home-screen rows, artwork, previews, search and the suggestion shown when a title ends, not only through the order a model produces. Find the moment where deciding is hardest for the members you choose, and improve that moment.
```
### Clarifying Questions
- Should the improvement target the ranking models themselves, or how recommendations are presented and explained on the home screen, title pages and search?
- Which members matter most here: new members with little viewing history, long-time members who feel they have already seen everything worth watching, or households sharing one profile?
- Is the TV app the main surface in scope, or should mobile and web be treated the same way?
- Do recommendations cover only series and films, or also newer formats on the service such as games and live events?
### What a Strong Answer Covers
- A goal for recommendations tied to how Netflix makes money, such as members quickly finding something they enjoy and staying subscribed.
- A segmentation of members or viewing situations, with a reasoned choice of where to focus.
- Concrete pain points in choosing what to watch, mapped to improvements in models, presentation or member controls, and prioritized by impact and effort.
- Success metrics that capture satisfaction and retention rather than plays alone, with guardrails and a sound way to test changes.
- Risks such as narrowing members' tastes, misleading artwork, privacy on shared screens and over-promoting Netflix's own titles.
### Follow-up Questions
- Your change raises plays per session, but members abandon more titles in the first few minutes. How do you read that, and what do you do next?
- How would you run an experiment on a new home-screen layout when a member's choice depends on the whole page rather than on one row?
- How would you handle recommendations for a profile that several people in a household use?
Overview: A product sense question for a Netflix product manager about making recommendations more useful. It tests choosing which members and which part of the discovery experience to focus on, diagnosing why picking something to watch is hard, prioritizing improvements, and defining metrics and experiments that go beyond counting plays.