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Improve onboarding in Search for hosts
- Product Design
- Airbnb
- Easy
- 10 min
Problem Statement Description
Product context: Airbnb is a travel marketplace connecting guests and hosts; its products include stays, experiences, host tools, guest booking, trust and safety, payments, and reviews.
Airbnb hosts depend on Search to understand how guests discover listings, compare options, and ultimately decide where to stay. For new or less experienced hosts, the Search experience can feel opaque: they may not know how their listing appears to different guests, why visibility changes, or what actions improve guest confidence and marketplace fit.
Design an improved onboarding experience within Airbnb Search for hosts. Focus on helping hosts understand the guest discovery journey, interpret their listing’s search presence, and take appropriate next steps without overwhelming them or encouraging low-quality optimization behavior.
The experience should consider:
- Host types, including first-time hosts, casual hosts, professional hosts, and hosts in competitive markets
- The workflow from creating or editing a listing to understanding how it may appear in guest search results
- Friction around search ranking transparency, pricing, availability, photos, amenities, location, reviews, and booking settings
- How to educate hosts while preserving trust, fairness, and marketplace quality
- Differences across geographies, property types, seasonality, and guest intent
- How onboarding should fit into existing host tools, dashboards, notifications, and listing setup flows
- Risks such as hosts gaming search, misinterpreting guidance, or feeling punished by lack of visibility
Your goal is to define a product experience that helps hosts become more confident and effective participants in Airbnb Search while improving guest discovery quality and maintaining a healthy marketplace.
What this question tests
- Product Sense
- User Empathy
- MVP Design
- Success Metrics
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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