Decide Whether YouTube Should Build an Automated Video Idea and Script Generator
Company: Amazon
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager at YouTube, and someone suggests building a tool that automatically gives creators video ideas along with draft scripts. How would you decide whether YouTube should build it?
```hint Follow the value to the viewer
Work out which creators are actually stuck at the idea and script stage, then ask what happens to viewers, not just to upload counts, if those creators use the tool.
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### Clarifying Questions
- Where does the suggestion come from: creator requests, a rival platform's launch, or an internal push to apply generative models?
- Would the tool be offered to every creator, or start with a segment such as new channels or Shorts creators?
- Does "script" mean a word-for-word draft the creator could read on camera, or an outline the creator fills in?
- Is the outcome a build or no-build call, or should I also lay out how to test the idea before committing?
### What a Strong Answer Covers
- The goal for YouTube and for creators, and the creator segments that actually have this problem
- What YouTube can offer that the general-purpose writing tools creators already use cannot
- Benefits weighed against risks specific to generated content: sameness across channels, low-effort volume, inaccurate or infringing scripts, and viewer trust
- Feasibility and generation cost at YouTube's scale
- A validation plan with success metrics, guardrails and a stated build or stop criterion
### Follow-up Questions
- A pilot shows creators upload more often but watch time per assisted video falls. Do you launch?
- How would you keep many channels from being nudged toward the same handful of trending topics?
- Should the tool be free for every creator or reserved for some, given what each generation costs?
Overview: A product strategy prompt asking a YouTube product manager to judge whether to build a tool that automatically proposes video ideas and drafts scripts for creators. It tests creator segmentation, demand and differentiation, risks to content quality and originality, and how to validate the idea with metrics and a pilot.