Product design question
How can Google help improve the grocery shopping experience of users?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Product sense for a specific company's assets applied to an everyday task, and scoping a broad question into one solvable problem.
How to approach it
- Clarify which surface, Search, Maps, or a new app, and state you will pick Google Maps and Search.
- Identify a real pain point, not knowing which nearby store has an item in stock or the best price.
- Propose a solution using an existing asset, live inventory and price surfaced in Maps store listings.
- Explain the data source needed, retailer inventory feeds, and how partners would be brought on board.
- Define success, searches that lead to an in store visit or a click to directions rate.
What a strong answer includes
- Anchors on Google's actual strength, search intent and Maps location data, instead of inventing an unrelated app.
- Names a specific feature, live price and stock comparison across nearby stores for a searched item.
- Addresses the hard part, sourcing real time retailer inventory, starting with partners already sharing data for Shopping ads.
Common mistakes
- Proposing a brand new delivery app instead of leveraging existing distribution.
- No plan for how retailer data would actually be sourced.
- No success metric tied to user behavior.
Likely follow-up questions
- Which retailers would you approach first and why?
- How would you handle stores that refuse to share inventory data?
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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