Product design question
How can Google Docs be improved?
- Product design
- Easy
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What this question tests
Basic product-improvement reasoning: identifying a real user pain point in a mature product and proposing a focused fix with a metric.
How to approach it
- Pick a specific user segment, like teams doing collaborative long-form docs, rather than 'Docs users' broadly.
- Name a concrete pain point, like messy version tracking across many collaborators, or offline sync conflicts.
- Propose one focused improvement, like a visual, named-checkpoint history that's easier to navigate than the current revision history.
- Explain why this matters to Google's goals: keeping teams inside Workspace instead of switching to Notion or Word.
- Define a success metric, like fewer support tickets about lost changes, or more daily active collaborators per doc.
What a strong answer includes
- Picks a real, specific pain point rather than a generic 'add more features' answer.
- Ties the improvement to Google's competitive position against Notion, Word, or Confluence.
- Defines a measurable success signal.
Common mistakes
- Suggesting features Docs already has, signaling unfamiliarity with the product.
- Giving a laundry list of small tweaks instead of one focused, well-reasoned improvement.
Likely follow-up questions
- How would you prioritize this against other improvements on the Docs roadmap?
- How would you validate this is actually a top pain point for users?
More product design questions
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- How do you design a camera for the elderly?Google · Product design · Medium
- Redesign Twitter for eCommerce.Shopify · Product design · Hard
- How would you go about designing a new location sharing app for Google?Google · Product design · Medium
- How would you improve Google Home?Google · Product design · Easy
More questions from Google
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop