Metrics question
What is the success metric for Airbnb's booking experience?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Ability to define a single, defensible success metric for a specific, well-scoped part of a broader product experience, the booking flow specifically.
How to approach it
- Scope the question narrowly to the booking experience itself, search through confirmed reservation, not Airbnb's overall business health.
- Consider candidate metrics: search-to-booking conversion rate, time-to-book, and post-booking cancellation rate.
- Select booking conversion rate as the primary success metric, since it most directly reflects whether the booking flow itself is working, not external factors like listing supply or pricing.
- Add cancellation rate within 24-48 hours of booking as a guardrail, since a high conversion rate achieved by a confusing or misleading flow would show up as buyer's-remorse cancellations.
- Explain briefly why time-to-book is a secondary, not primary, signal, since a faster book isn't necessarily better if it comes at the cost of informed decision-making.
What a strong answer includes
- Correctly scopes to the booking experience specifically, not a generic Airbnb-wide metric like GBV.
- Picks one clear primary metric and explains why it beats the alternatives, rather than listing several with no prioritization.
- Adds a guardrail (early cancellations) that would catch a metric being gamed by a too-aggressive booking flow.
Common mistakes
- Answering with a business-wide metric like total revenue or nights booked, missing the specific 'booking experience' scope of the question.
- Naming multiple metrics with no clear primary choice, avoiding the decision the question is testing.
Likely follow-up questions
- How would you know if a high conversion rate is actually a good outcome versus a manipulative one?
- How would this metric differ for first-time versus repeat bookers?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop