A data-driven tool that helped users discover their ideal European travel spot. Through advanced contextual search and analysis, we achieved a 60% increase in beta user engagement
Services: Dashboard design, Tableau
Duration: 2 month Sprint
01
USER RESEARCH
About Project
The digital strategy team at Airbnb were working towards the next revolution in travel technology. My team set out to design and validate a data visualization tool to analyze key factors influencing European travelers' decision-making—connectivity, dining options, accommodations, attractions, and more.
Why Europe? We wanted to beta test contextual analysis for a popular travel destination and expand inferences from it.
Research methods
Given a one-week timeframe for user research, we prioritized quick, impactful insights. Our approach included a competitor analysis of 10 similar tools and 4 semi-structured interviews to gain firsthand user perspectives.
01
Easy travel planning
Users primarily base their travel planning on price and convenience. By incorporating travel connectivity and price densities into the visualization, users can make more informed decisions.
02
Need for relevant information
While other platforms focus on the type and style of the house, users expressed a desire for a tool that provides more relevant information about their stay, such as room sharing, restaurant information in the area, and the status of the host.
03
Extension of Airbnb
Users would appreciate a tool that acts as an integrative extension of the current Airbnb portal, offering a more exploratory space that is not solely focused on pushing them to pick a house.
02
DESIGNING THE INTERFACE
Jobs to be done
Explore the location-wise distribution of rentals and compare the prices.
See the pricing trends of Airbnb rentals based on various factors.
Learn more about a city’s restaurants, metro connectivity, etc.
Drill down into the details of a particular Airbnb rentals and connect to relavant rental information.
Bottom line: The main goal was to validate the strategic alignment of this initiative.
Wireframes
We built out a quick prototype that followed a basic flow.
Explore Tableau
We moved into rapid prototyping visualizations in Tableau. I began by cleaning the datasets to remove redundancies and correct inaccuracies, then merged them based on overlapping parameters. Next, I built transformations to optimize the necessary filters and columns. With these foundations, we developed the base visualizations that would define our workflow.
Final Prototype
We built the final prototype on Webflow and integrated the visualizations as code embedd.
