Plan a YouTube growth push: pick a segment and the levers that lift daily actives

Quick Overview

A product growth question asking how a product manager would raise YouTube's daily active users. It tests defining daily activity precisely, breaking down where growth can come from, choosing a segment, prioritizing ideas against clear criteria, and designing metrics and experiments that show whether a lift lasts.

Plan a YouTube growth push: pick a segment and the levers that lift daily actives

Company: Google

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are a product manager at YouTube, and the goal is to grow the number of daily active users. How would you approach it? Define what should count as a daily active user, decide where the growth should come from and which users to focus on, propose and prioritize ideas, and explain how you would measure the result. ```hint Break the number apart Split daily active users into how many people use YouTube at all in a month and how often those people come back, then ask which part has the most room to move. ``` ### Clarifying Questions - Does a daily active user mean anyone who opens YouTube on any surface (phone app, web, TV, YouTube Music), or someone who watches at least a minimum amount? - Should growth come from new users, from people who used YouTube and stopped, or from existing users coming back more often, or is that choice yours? - Is there a priority market or audience, or is the choice open? - Are creators in scope, or only the people who watch? ### What a Strong Answer Covers - A precise definition of a daily active user, including which surfaces and what minimum activity count - A breakdown of where growth in daily active users can come from, with the lever chosen and why - A chosen segment and the reasons those users do not return daily, grounded in how they use YouTube today - Ideas prioritized on explicit criteria, including their effects on viewing quality, creators and advertisers - A primary metric with guardrails, and an experiment design that tests whether the lift lasts ### Follow-up Questions - If notifications raised daily actives but lowered watch time per user, would you ship? What else would you check first? - How would you tell whether a gain in daily actives came from new viewing or was simply moved from another YouTube or Google surface? - How would your plan change for a market where most people use low-cost Android phones on limited data plans?

Overview: A product growth question asking how a product manager would raise YouTube's daily active users. It tests defining daily activity precisely, breaking down where growth can come from, choosing a segment, prioritizing ideas against clear criteria, and designing metrics and experiments that show whether a lift lasts.

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Google
Mar 22, 2024
mediumProduct ManagerOtherProduct Design & Strategy
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You are a product manager at YouTube, and the goal is to grow the number of daily active users. How would you approach it? Define what should count as a daily active user, decide where the growth should come from and which users to focus on, propose and prioritize ideas, and explain how you would measure the result.

Clarifying Questions Guidance

  • Does a daily active user mean anyone who opens YouTube on any surface (phone app, web, TV, YouTube Music), or someone who watches at least a minimum amount?
  • Should growth come from new users, from people who used YouTube and stopped, or from existing users coming back more often, or is that choice yours?
  • Is there a priority market or audience, or is the choice open?
  • Are creators in scope, or only the people who watch?

What a Strong Answer Covers Guidance

  • A precise definition of a daily active user, including which surfaces and what minimum activity count
  • A breakdown of where growth in daily active users can come from, with the lever chosen and why
  • A chosen segment and the reasons those users do not return daily, grounded in how they use YouTube today
  • Ideas prioritized on explicit criteria, including their effects on viewing quality, creators and advertisers
  • A primary metric with guardrails, and an experiment design that tests whether the lift lasts

Follow-up Questions Guidance

  • If notifications raised daily actives but lowered watch time per user, would you ship? What else would you check first?
  • How would you tell whether a gain in daily actives came from new viewing or was simply moved from another YouTube or Google surface?
  • How would your plan change for a market where most people use low-cost Android phones on limited data plans?