Product design question
How would you improve the post-booking experience in Google Flights?
- Product design
- Easy
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What this question tests
Product improvement sense for a narrow, well defined moment in a travel booking flow.
How to approach it
- Scope the moment: right after a flight is booked, before departure, covering confirmation, changes, and reminders.
- List pain points: uncertainty about check-in timing, gate changes, and difficulty rebooking after a booked flight is cancelled.
- Segment by trip type: business travelers needing fast rebooking versus leisure travelers wanting simple reminders.
- Prioritize proactive alerts, like gate changes and check-in windows, since they reduce anxiety and support tickets.
- Propose a rebooking assistant that surfaces alternative flights automatically when a booked flight is delayed or cancelled.
- Define success as reduction in support contact rate and increase in successful self-service rebookings.
What a strong answer includes
- Names a specific moment of anxiety, waiting to see if a flight gets delayed, and designs directly for it.
- Separates business travelers who need fast one-tap rebooking from leisure travelers who mostly want reminders.
- Proposes proactive push notifications for check-in windows and gate changes rather than requiring users to check manually.
- Picks support contact rate reduction as a concrete, checkable success metric.
Common mistakes
- Redesigning the whole booking flow instead of staying scoped to post-booking.
- Ignoring that this is a Google product competing with airline apps that already own some of this experience.
Likely follow-up questions
- How would you handle a flight delay when the airline hasn't updated their systems yet?
- How would you measure if travelers trust these notifications?
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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