Product Improvement for YouTube's What-to-Watch Suggestions
Company: Google
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
YouTube suggests videos to people throughout the app. How would you make those suggestions better?
```hint Decide what "better" means
Better could mean more minutes watched, happier viewers, more variety, or a fairer chance for new creators, and these pull against each other. Choose one group of viewers and one definition of better before proposing changes.
```
### Clarifying Questions
- Which surface is in scope: the home feed, the suggestions beside a playing video, Shorts, or all of them?
- What does the team mean by better: more watch time, higher viewer satisfaction, discovery of new topics and creators, or fewer harmful suggestions?
- Which viewers matter most: signed-in regulars, new viewers with no history, or households sharing one account on a TV?
- Can the answer include controls viewers use to steer suggestions, or only changes to the ranking itself?
### What a Strong Answer Covers
- A definition of better recommendations that weighs viewer satisfaction against raw engagement, tied to YouTube's business and to creators.
- One chosen viewer segment and the specific ways recommendations fail it today.
- Concrete improvements, covering both ranking signals and viewer-facing controls, prioritized by impact and effort.
- A primary metric that reflects satisfaction rather than clicks alone, with guardrails for watch time, creators and content safety.
- Risks such as clickbait incentives and rabbit holes, and how the changes would be tested.
### Follow-up Questions
- Your change improves satisfaction scores but lowers total watch time. Do you ship it, and how do you decide?
- How would you tell whether added exploration helps viewers find new interests or just shows them videos they do not want?
- Small creators say they never get recommended. How would your design respond without lowering quality for viewers?
Overview: A product improvement question asking how to make YouTube's video recommendations better. It tests defining what better means, choosing a viewer segment and its pain points, prioritizing changes to ranking signals and viewer controls, and picking satisfaction metrics with guardrails for creators and safety.