Lionel Sirvel
UX Research & Product Design

Airbnb UX Case Study

Identifying friction in Airbnb's mobile booking flow and prototyping a clearer path to book.

Role
UX Designer
Client
RMIT UX case study
Year
2024
Tools
Figma · FigJam
Full FigJam research board for the Airbnb case study: user flow, interview synthesis, Rose-Bud-Thorn findings and low-fidelity prototype

Challenge

Friction points in the Airbnb booking process — particularly around the filtering system, pricing transparency, and inconsistent search results across devices — were creating confusion and decision fatigue for frequent users.

Solution

Desk research and user interviews surfaced the core frustrations; low- and medium-fidelity prototypes explored a more intuitive filtering system, Google Maps API integration for a better map view, removal of the confusing month filter, and improved consistency across mobile and desktop.

Outcome

Final recommendations aimed at improving the user journey, reducing decision fatigue and enhancing the booking experience — with hands-on practice in user research, wireframing, prototyping and user testing along the way.

Research and insights

Desk research and user interviews revealed common frustrations such as hidden fees, difficulty with map views, and confusion in the booking process leading to frustration.

Ideation and prototyping

Low-fidelity and medium-fidelity prototypes focused on a more intuitive filtering system, Google Maps API integration for a better map view in search, removal of the month filter that confused users, and improved consistency across mobile and desktop platforms.

Final recommendations

The delivered solutions aimed at improving the overall user journey, reducing decision fatigue, and enhancing the booking experience for Airbnb users — while prioritising user needs throughout the design process.

Project highlights

Hover to pause
The booking user flow mapped step by step with app screens
User flow
User pain points and review research notes
Research — pain points
User interview questions and answers synthesis
User interview
Findings organised in Rose, Bud, Thorn format
Findings — Rose · Bud · Thorn
Low-fidelity prototype sketches of the improved booking flow
Low-fidelity prototype

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