Product design question
Design a travel application for frequent flyers
- Product design
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Product sense for a well defined niche user, requiring specific pain points rather than a generic travel app description.
How to approach it
- Define the user precisely: someone flying 15 or more times a year, likely business travelers managing multiple loyalty programs.
- Identify top pain points: fragmented loyalty tracking across airlines, unpredictable disruption, and rebooking friction.
- Propose the core feature: a single dashboard consolidating miles and status across airlines plus proactive disruption alerts with rebooking suggestions.
- Describe how it earns trust: integrating directly with airline accounts and calendars rather than manual entry.
- Define success: time saved during a disruption event, and retention among users who log a rebooking through the app.
What a strong answer includes
- Nails the specific user, frequent not casual flyers, and their real pain, fragmented status tracking and disruption stress.
- Proposes proactive disruption handling as the core value, not just another booking search tool.
- Gives a believable metric: reducing time to rebook after a cancellation from an assumed 25 minutes to 5.
Common mistakes
- Designing a generic booking app that competes directly with Google Flights with no differentiation.
- Ignoring loyalty program fragmentation, a defining pain point for this specific user.
Likely follow-up questions
- How would you get airlines to share real time disruption data with you?
- How would you monetize this without alienating price sensitive frequent flyers?
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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