Netflix·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior

Apr 2026

Summary

Netflix PM interview with a single product design question around building a referral system. Pretty open-ended, which sounds fun until you realize there's a lot of directions you can go and not much scaffolding to lean on.

Questions Asked (1)

How would you design a referral program for Netflix to help grow its user base?

Product Sense & IdeationProduct StrategyA/B Testing & Experimentation

Author's notes

I started by anchoring on why referrals even make sense for Netflix specifically, which felt like the right move but ate up a lot of time before I got to anything concrete.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal (e.g., new subscriber acquisition vs. engagement) and Netflix's unique context (global, content-driven, low price sensitivity). Then propose a referral program that leverages Netflix's strengths (content, personalization) and outline how you'd test and iterate using A/B experiments.

Pro tip: Emphasize that referral programs must align with Netflix's brand and avoid incentivizing existing users who would subscribe anyway; focus on incremental growth and measure incrementality through holdout groups.

1. Clarify Goals and Constraints

Ask clarifying questions to understand the primary objective (e.g., new user acquisition, reactivation) and any constraints (budget, brand guidelines, global vs. local).

2. Understand User Segments and Motivations

Identify target segments (e.g., existing subscribers, lapsed users) and their motivations to refer (e.g., altruism, incentives, social sharing).

3. Design the Referral Program

Propose program mechanics: incentives (e.g., free month for both parties), sharing methods (in-app, email, social), and tracking (unique links/codes). Ensure alignment with Netflix's brand and content.

4. Define Success Metrics and Experimentation Plan

Outline key metrics (e.g., referral rate, conversion rate, CAC, incrementality) and design A/B tests to measure impact and optimize.

5. Address Risks and Iterate

Discuss potential risks (e.g., fraud, cannibalization) and how to mitigate them; propose a roadmap for scaling successful experiments.

Key Points to Mention

Incrementality: Use holdout groups to measure true lift and avoid paying for users who would have subscribed anyway.
Incentive structure: Consider two-sided rewards (e.g., free month for referrer and referee) to maximize participation.
Leverage Netflix's content: Use personalized recommendations or exclusive content as referral hooks.
Viral loop: Integrate referrals into the product experience (e.g., after a user finishes a show) to increase sharing.
Global considerations: Adapt program for different markets (e.g., pricing, payment methods, cultural norms).
Fraud prevention: Implement safeguards against fake accounts and abuse.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.