Product design question
How will you go about personalizing MS Office?
- Microsoft
- Product design
- Medium
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What this question tests
Tests product design for personalization in a mature productivity suite, weighing genuinely useful adaptation against added complexity for a huge, varied user base.
How to approach it
- Clarify what personalization targets: interface layout, content and template suggestions, or workflow automation, since MS Office serves vastly different user types.
- Segment users: casual home users, students, and enterprise professionals with role-specific needs (finance, legal, marketing), since each benefits from different personalization.
- Identify the highest-leverage signal: usage patterns per app (which features and templates a user actually touches) rather than demographic guesses.
- Propose a concrete feature: role-aware template and command suggestions that surface based on observed usage, like finance-relevant Excel functions surfacing for users who work with financial models.
- Address the risk of over-personalization: keep the full, unpersonalized feature set always accessible so power users aren't hidden from functionality they need occasionally.
- Define success as reduced time-to-task-completion for common actions and adoption of surfaced suggestions, not just engagement with the personalization feature itself.
What a strong answer includes
- Grounds personalization in observed behavior instead of self-reported preferences or demographics, which is more reliable at Office's scale.
- Picks a concrete, role-based example, finance-relevant Excel suggestions, rather than a vague make it smarter answer.
- Explicitly guards against hiding functionality from power users, a known risk of aggressive personalization in productivity tools.
- Uses illustrative numbers as assumptions: assume 80% of users regularly use fewer than 10% of available features, showing personalization's potential leverage.
Common mistakes
- Proposing personalization that hides standard functionality, frustrating experienced users.
- Ignoring that Office serves vastly different roles and treating all users the same.
- Measuring success by engagement with the personalization feature instead of actual task efficiency.
Likely follow-up questions
- How would you handle a user whose role changes over time?
- What's the privacy consideration in using usage data for personalization?
- How would you test this without disrupting existing muscle memory for power users?
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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