Improving Google Search: choose a segment, prioritize ideas and set metrics
Company: Google
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager on Google Search, and the interviewer asks how you would improve it. Pick where to focus, propose improvements, choose one to pursue, and explain how you would know it worked.
```hint Narrow before you ideate
Nearly everyone uses Search, so "better" means little until you pick a group of searchers and a kind of task where today's results page lets them down.
```
### Clarifying Questions
- Is the main aim searcher satisfaction, more usage, or more revenue, and are the ads on the results page in scope?
- Should I focus on the core web results page, or can I also change verticals such as Images, Maps, Shopping and News?
- Is the improvement for searchers worldwide, or for a particular market or language?
- Should I treat recent features, such as AI-generated summaries above the results, as part of today's baseline?
### What a Strong Answer Covers
- A stated goal and a deliberate choice of user segment and type of task, with the reasoning
- Pain points grounded in how people actually search, such as rewriting queries or juggling many open tabs
- Several distinct ideas and a prioritization against stated criteria
- Success metrics that capture task success, with guardrails for latency, ad revenue and trust
- Risks specific to Search, such as misinformation, privacy of search history, and the effect on websites that depend on search traffic
### Follow-up Questions
- Your feature raised satisfaction but reduced clicks to websites. How would you weigh that?
- How would you tell whether a shorter search session means the person found the answer fast or gave up?
- How would your proposal change for people on low-end phones with slow connections?
Overview: A product improvement question asking a PM candidate how to make Google Search better. It tests choosing a goal and user segment, finding real pain points in how people search, prioritizing distinct ideas, and defining success metrics with guardrails for latency, revenue and trust.