Product design question
Microsoft is expanding AI integration across its products. What AI-driven feature would you add to Microsoft Office, and why?
- Microsoft
- Product design
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Product design applied to a well known AI integration context, requiring a specific feature and justification, not a generic list.
How to approach it
- Identify Office's core user pain: time spent on repetitive tasks like formatting, summarizing long documents, or reconciling spreadsheet data.
- Propose one focused feature: a meeting to action flow in Word or Outlook that turns meeting transcripts into a structured action item doc.
- Justify why this fits Microsoft's advantage: deep integration with Teams meeting data and Outlook that standalone AI tools cannot match.
- Describe the trust layer: the user reviews and edits AI drafted content before it is sent or saved, avoiding silent automation errors.
- Define success: adoption rate among Copilot licensed users and time saved per meeting follow up.
What a strong answer includes
- Picks one specific feature tied to Microsoft's actual cross product data advantage instead of a generic AI writing assistant.
- Includes a human review step before automated actions are taken, addressing trust concerns.
- Names a believable metric, time saved per meeting follow up, tied directly to the feature's value proposition.
Common mistakes
- Proposing a generic AI writing assistant that duplicates existing Copilot features with no clear new value.
- No mechanism for user review or control over AI generated actions.
Likely follow-up questions
- How would you handle the AI misinterpreting a meeting discussion?
- How would this integrate with Microsoft's existing Copilot licensing model?
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More questions from Microsoft
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