Product design question
How can I create a product that allows users to search for and book flights?
- 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 design fundamentals in a mature category: identifying a differentiated angle despite strong existing competitors.
How to approach it
- Clarify the target user: budget-conscious leisure travelers versus frequent business travelers, and pick one.
- Identify the core need: finding the best-value flight quickly and booking with confidence, without hidden fees.
- Propose a differentiator, like transparent total pricing upfront and flexible date search to find the cheapest days to fly.
- Design the core flow: search by route and flexible dates, compare transparent pricing, and book with saved preferences.
- Define success as search-to-booking conversion rate and repeat booking rate.
What a strong answer includes
- Picks a clear differentiator (price transparency, flexible-date search) rather than rebuilding a generic Kayak or Expedia clone.
- Names a concrete feature, like a calendar heatmap showing cheapest days to fly for a given route.
- Addresses monetization, such as commission from airlines or a freemium price-alert tier, marked as an assumption.
- Uses an assumed metric, e.g. targeting 8 percent search-to-booking conversion.
Common mistakes
- Proposing a generic flight search clone with no clear differentiator against Google Flights or Kayak.
- Ignoring monetization entirely.
- Not defining a metric to measure product success.
Likely follow-up questions
- How would you differentiate this from Google Flights specifically?
- How would you monetize the product?
- What would you prioritize for an MVP?
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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