Shrinking the space Gmail takes up: goals, levers and trade-offs
Company: Google
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
As a product manager on Gmail, you are asked to reduce Gmail's storage size. How would you approach the problem, what changes would you make, and how would you know they worked?
```hint Break the bytes down
Before proposing anything, split the stored data by what it is and where it came from; the largest buckets point to the levers worth pulling first.
```
### Clarifying Questions
- Is the goal to cut what Google spends storing mail across all accounts, or to help users who are running out of their own storage quota?
- Are changes to how mail is stored behind the scenes in scope, or only features users can see?
- Are free accounts, paid accounts and business accounts with retention or legal-hold rules all in scope?
- Is there a target reduction, or a limit on how much user experience we may trade for it?
### What a Strong Answer Covers
- A clarified goal: whose storage, which accounts and what kind of reduction are in scope
- A breakdown of stored data by type, source and account, used to size levers before choosing them
- Levers on both the infrastructure side and the user-facing side, each with its effect on users
- Prioritization by savings, effort and risk to user trust, including what not to do
- Metrics for storage saved with user-experience guardrails, plus the main risks and how to manage them
### Follow-up Questions
- After launch, a cleanup tool frees a lot of space, but users complain that they deleted mail they later needed. What do you change?
- How would you estimate how much storage a proposed change will save before building it?
- How would you encourage users to clear large old attachments without it reading as a push to buy more storage?
Overview: A Gmail product question asking how a product manager would reduce the amount of storage Gmail uses. It tests clarifying whose storage problem it is, breaking stored data into its largest sources, weighing infrastructure and user-facing levers against user trust, and choosing metrics with guardrails.