Product design question
Design a search engine for enterprises.
- Microsoft
- Product design
- Hard
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What this question tests
Tests product design for enterprise search, a fundamentally different problem from web search.
How to approach it
- Clarify the domain: searching across an enterprise's siloed internal content, documents, wikis, chat and tickets, not the public web.
- Identify pain points: content is fragmented across disconnected tools, and permission boundaries must be respected per document.
- Design federated connectors indexing major internal tools, permission-aware results, and ranking weighted by team, role and recency rather than popularity.
- Treat permission-awareness as a non-negotiable trust and security requirement before any relevance tuning.
- Define success as search-to-found-answer rate, time-to-find, and a reduction in asking a coworker instead of searching.
What a strong answer includes
- Calls out permission-aware indexing as the hard, non-negotiable constraint that differentiates enterprise from web search.
- Grounds relevance ranking in enterprise-specific signals, team, role and recency, instead of copying popularity-based ranking.
- Addresses content fragmentation across many disconnected internal tools directly.
Common mistakes
- Designing this like a mini Google without addressing permissions or security, a dealbreaker for enterprise deployment.
- Ignoring content fragmentation across many disconnected internal tools.
Likely follow-up questions
- How would you handle real-time permission changes, like someone losing access to a document?
- How would you measure search quality without page-view-style engagement 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