Lift booking conversion for guests reserving on Airbnb for the first time

Quick Overview

A product improvement question about raising booking conversion at Airbnb among people making their first reservation. It tests how a candidate defines first-timers and the conversion window, picks a segment, finds where newcomers drop out of the booking flow, prioritizes fixes and protects first-stay quality.

Lift booking conversion for guests reserving on Airbnb for the first time

Company: Airbnb

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

As a product manager at Airbnb, you are asked to get more first-time guests from browsing stays to a completed reservation. Explain which conversion you would move, where and why first-timers fall out of the booking flow, which changes you would make and in what order, and how you would measure success. ```hint Compare first-timers with repeat guests Lay out the booking flow step by step, from the first search to a confirmed stay, and look for the steps where people who have never booked drop off much more often than people who have. ``` ### Clarifying Questions - Does "first-timer" mean someone who has never booked a stay on Airbnb, whether or not they have an account, or also someone new to a type of stay, such as a first trip abroad? - Which conversion matters most here: search to booking, listing view to payment, or a booking request through to a confirmed stay once the host accepts? - Is the whole guest journey in scope, from the first search to host acceptance, or only the checkout and payment steps? - Should a booking that is later cancelled count as a conversion? ### What a Strong Answer Covers - A precise definition of a first-timer and of the conversion being improved, including its time window - First-time guest segments compared, with one chosen and the reason for the choice - The steps where first-timers drop off, with pain points specific to never having booked, ranked by severity - Solutions prioritized by impact, effort and their effect on hosts and on the quality of the first stay - A primary metric with guardrails, and a test plan suited to how long people take to plan a trip ### Follow-up Questions - Many first-timers browse logged out and switch devices; how would you assign them to an experiment and measure the result? - If conversion rises but first-stay cancellations or poor reviews rise too, what would you do? - How would your plan change in a market where Airbnb has only recently launched?

Overview: A product improvement question about raising booking conversion at Airbnb among people making their first reservation. It tests how a candidate defines first-timers and the conversion window, picks a segment, finds where newcomers drop out of the booking flow, prioritizes fixes and protects first-stay quality.

Airbnb logo
Airbnb
Apr 4, 2024
mediumProduct ManagerOtherProduct Design & Strategy
0
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As a product manager at Airbnb, you are asked to get more first-time guests from browsing stays to a completed reservation. Explain which conversion you would move, where and why first-timers fall out of the booking flow, which changes you would make and in what order, and how you would measure success.

Clarifying Questions Guidance

  • Does "first-timer" mean someone who has never booked a stay on Airbnb, whether or not they have an account, or also someone new to a type of stay, such as a first trip abroad?
  • Which conversion matters most here: search to booking, listing view to payment, or a booking request through to a confirmed stay once the host accepts?
  • Is the whole guest journey in scope, from the first search to host acceptance, or only the checkout and payment steps?
  • Should a booking that is later cancelled count as a conversion?

What a Strong Answer Covers Guidance

  • A precise definition of a first-timer and of the conversion being improved, including its time window
  • First-time guest segments compared, with one chosen and the reason for the choice
  • The steps where first-timers drop off, with pain points specific to never having booked, ranked by severity
  • Solutions prioritized by impact, effort and their effect on hosts and on the quality of the first stay
  • A primary metric with guardrails, and a test plan suited to how long people take to plan a trip

Follow-up Questions Guidance

  • Many first-timers browse logged out and switch devices; how would you assign them to an experiment and measure the result?
  • If conversion rises but first-stay cancellations or poor reviews rise too, what would you do?
  • How would your plan change in a market where Airbnb has only recently launched?