Metrics question
How do you measure the success of Airbnb online experiences?
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
Metric tree construction for a marketplace product distinct from the core lodging business, requiring separate success criteria.
How to approach it
- Clarify online experiences are live, virtual, hosted activities, a different product from stays with different supply and demand dynamics.
- State the goal: build a sustainable second marketplace where hosts earn meaningfully and guests find worthwhile virtual activities.
- Build a metric tree: guest-side bookings and attendance rate, host-side repeat hosting rate and earnings, and marketplace search-to-booking conversion.
- Add a guardrail: guest satisfaction score, since a low-quality virtual experience could hurt trust in the broader brand.
- Segment by experience category, since demand and repeat behavior likely differ significantly across types.
- Tie to a business outcome: cross-sell rate, guests who tried an experience later booking an in-person stay, showing broader ecosystem value.
What a strong answer includes
- Explicitly separates this from core stays business metrics, recognizing it is a genuinely different marketplace.
- Names host repeat rate and earnings as key supply-side health metrics, since sustainable host income determines the category's longevity.
- Adds a guardrail around guest satisfaction, since a bad virtual experience carries brand risk beyond this product line.
- Proposes cross-sell rate as a way to justify this product's strategic value to the broader business.
Common mistakes
- Reusing core lodging metrics unchanged without adapting to the different dynamics.
- Focusing only on booking volume and ignoring host-side sustainability.
- Not connecting this product's success to the broader business strategy.
Likely follow-up questions
- How would you measure quality of a live virtual experience in real time?
- How would you decide whether to continue investing in this product line?
- How would this differ from measuring in-person experiences?
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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