Product design question
Given that there are fewer employees in the offices, how would you manage the "Corner Cafes" where coffee and snacks are kept?
- Product design
- Medium
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What this question tests
Tests operational and cost-driven product thinking applied to a physical amenity under a demand shock, not a software feature.
How to approach it
- Recognize the core problem: lower and less predictable in-office attendance means fixed-stock, always-available snacks now risk high waste and spoilage.
- Segment demand by day of week, since hybrid schedules concentrate attendance on certain days, like Tuesday through Thursday, and leave others nearly empty.
- Propose shifting from a static full-stock cafe to a demand-responsive model, reduced stock and hours on low-attendance days, informed by badge-in data or RSVP signals.
- Add a lightweight pre-order or office-attendance signal so kitchen staff can forecast daily demand more accurately.
- Define success as reduced food waste percentage and maintained employee satisfaction with availability on high-attendance days.
What a strong answer includes
- Correctly identifies the core operational tension, fixed supply against volatile hybrid attendance, rather than treating this as a simple cost-cutting question.
- Proposes using existing signals, badge-in or calendar data, to forecast demand rather than guessing.
- Balances cost reduction with maintaining a good employee experience on the days people actually show up.
Common mistakes
- Simply cutting the cafe budget without considering demand forecasting to reduce waste intelligently.
- Ignoring that attendance is uneven across the week, treating every day the same.
Likely follow-up questions
- How would you forecast attendance accurately enough to plan daily stock?
- How would you handle employee complaints if cutting back reduces perceived quality of the perk?
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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