Product design question
Design a product to be used in airports.
- Product design
- Easy
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What this question tests
Basic product design for a high-stress, time-constrained environment, requiring the candidate to identify a specific traveler pain point.
How to approach it
- Pick a specific user and moment, like a traveler navigating security and gate-finding under time pressure, rather than 'airport travelers' broadly.
- Name the core pain point: uncertainty about wait times (security, immigration) and real-time gate/walk-time information causing stress and missed flights.
- Propose a focused feature: a live, crowd-sourced or sensor-based wait-time estimator for security lines combined with a personalized 'time to gate' countdown based on the user's current location in the airport.
- Consider monetization: partnership with airport retail/dining to surface relevant offers during confirmed downtime (when the wait-time tool shows the user has slack).
- Define success as reduction in reported missed-flight incidents (via survey) and feature usage rate during active trips.
What a strong answer includes
- Anchors on the single highest-stress airport pain point, time uncertainty, rather than a generic 'airport info app.'
- Proposes a real-time, personalized mechanism (location-based gate countdown) instead of static airport information.
- Names a business angle (retail partnerships during confirmed downtime) consistent with airport commercial models.
Common mistakes
- Designing a static information app (maps, terminal directory) with no real-time, personalized component.
- No success metric tied to the actual stress/risk being solved, missed flights or excessive wait uncertainty.
Likely follow-up questions
- How would you get accurate real-time security wait-time data without airport cooperation?
- How would you handle this working across many different airports with different layouts and systems?
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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