Product design question
You have decided to build the feature 'Sharing recommendations' for Netflix. What happens next?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Tests post-decision execution thinking: what a PM does immediately after a feature is greenlit, not the initial ideation.
How to approach it
- Clarify the feature: users can share a title recommendation with friends inside or outside Netflix, via link or in-app nudge.
- Define target users: social recommenders who share often, and recipients who discover titles through friends; both sides matter.
- Scope the MVP: a simple share link that opens the title page and shows who recommended it, deferring messaging or group watchlists.
- Plan validation: a limited-market test measuring share-to-click-through rate and watch-through rate on shared titles.
- Address risks: spam or low-quality shares diluting trust in the recommendation, and privacy around showing who shared what.
- Define launch success: share-to-watch conversion rate, and incremental new-title discovery among recipients versus normal browsing.
What a strong answer includes
- Sequences work as an MVP-first plan, simple link first, then messaging and group features, rather than building everything at once.
- Names both sides of the interaction, sharer and recipient, and defines success for each.
- Flags a real risk, spam diluting trust in recommendations, that most candidates miss.
- Proposes a specific, testable launch metric, share-to-watch conversion, tied to the feature's real goal.
Common mistakes
- Jumping straight to a full social layer instead of scoping a testable MVP.
- Ignoring privacy implications of showing sharing activity between users.
Likely follow-up questions
- How would you prevent this from becoming spammy?
- How would you measure discovery beyond what users would have found anyway?
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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 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop