Cold-Start Personalization for New Disney+ Subscribers

Quick Overview

A Disney+ product design question about recommending titles to brand-new subscribers who have little or no viewing history. It tests segmenting new customers, gathering preference signals without slowing onboarding, handling the cold-start problem, and choosing activation and retention metrics.

Cold-Start Personalization for New Disney+ Subscribers

Company: Disney

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are a product manager on Disney+. Recommendations normally lean on what a subscriber has already watched, but someone who signed up today has watched almost nothing. Design how Disney+ should recommend titles to new customers during their first days on the service: decide which new customers you are designing for, the problems they run into, the product experience and the recommendation approach behind it, and how you would know it is working. ```hint Count the signals you already have A brand-new subscriber is not a blank slate. Think about what the sign-up path, the profile setup and the first few minutes of browsing reveal, and weigh each extra question you ask against the friction it adds before the first play. ``` ### Clarifying Questions - Does "new customer" mean a brand-new account, or also a new profile added to a household account that already has viewing history? - Is the main goal getting a first title started quickly, or keeping new subscribers through their first billing cycle and beyond? - Which surfaces are in scope: a step during sign-up, the home screen rows, search, or all of them, and on which devices (TV apps versus phones)? - Should kids' profiles be handled in the same design, or treated separately because of content ratings and parental controls? ### What a Strong Answer Covers - A goal for new-customer recommendations tied to activation and early retention, and a reasoned choice of which new customers to design for first. - The signals available before any viewing history exists, and the trade-off between asking new customers about their tastes and inferring them. - A concrete first-days experience and the recommendation logic behind it, including how it hands over to fully personalized ranking as history accumulates. - Success metrics for the first days and weeks, with guardrails and a way to test the design. - Risks such as onboarding drop-off, privacy, kids' content, and narrowing every new customer to the same few franchises. ### Follow-up Questions - A new subscriber skips every onboarding question and leaves after browsing for two minutes. What do they see when they come back, and how quickly can it adapt? - How would you design an experiment that shows the new experience improves retention, not just plays in the first week? - Several people share a new account but nobody has set up separate profiles. How does that change your approach?

Overview: A Disney+ product design question about recommending titles to brand-new subscribers who have little or no viewing history. It tests segmenting new customers, gathering preference signals without slowing onboarding, handling the cold-start problem, and choosing activation and retention metrics.

Disney logo
Disney
Aug 2, 2025
mediumProduct ManagerOtherProduct Design & Strategy
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0

You are a product manager on Disney+. Recommendations normally lean on what a subscriber has already watched, but someone who signed up today has watched almost nothing. Design how Disney+ should recommend titles to new customers during their first days on the service: decide which new customers you are designing for, the problems they run into, the product experience and the recommendation approach behind it, and how you would know it is working.

Clarifying Questions Guidance

  • Does "new customer" mean a brand-new account, or also a new profile added to a household account that already has viewing history?
  • Is the main goal getting a first title started quickly, or keeping new subscribers through their first billing cycle and beyond?
  • Which surfaces are in scope: a step during sign-up, the home screen rows, search, or all of them, and on which devices (TV apps versus phones)?
  • Should kids' profiles be handled in the same design, or treated separately because of content ratings and parental controls?

What a Strong Answer Covers Guidance

  • A goal for new-customer recommendations tied to activation and early retention, and a reasoned choice of which new customers to design for first.
  • The signals available before any viewing history exists, and the trade-off between asking new customers about their tastes and inferring them.
  • A concrete first-days experience and the recommendation logic behind it, including how it hands over to fully personalized ranking as history accumulates.
  • Success metrics for the first days and weeks, with guardrails and a way to test the design.
  • Risks such as onboarding drop-off, privacy, kids' content, and narrowing every new customer to the same few franchises.

Follow-up Questions Guidance

  • A new subscriber skips every onboarding question and leaves after browsing for two minutes. What do they see when they come back, and how quickly can it adapt?
  • How would you design an experiment that shows the new experience improves retention, not just plays in the first week?
  • Several people share a new account but nobody has set up separate profiles. How does that change your approach?