Upflex is a platform designed to help professionals find and book flexible coworking spaces globally. The main challenge was improving first-time user retention during the booking process for coworking spaces. Through a series of user interviews, surveys, and competitive analysis, we identified three key pain points: irrelevant results in non-urban areas, confusion in differentiating essential amenities, and map filtering issues. The solutions involved a mix of practical, aspirational, and intermediate design iterations, leading to an 18% increase in first-time user retention, a 25% reduction in time spent searching, and a 30% improvement in user satisfaction with search results.
Upflex sought to improve the retention of first-time users who were booking coworking spaces. The pain points identified were related to the search process, including irrelevant results for non-urban areas, difficulty distinguishing essential amenities, and poor filtering on maps.
The goal was to enhance the user experience by addressing these pain points. Improving retention meant users would have a smoother, more intuitive booking process, increasing satisfaction and ultimately driving growth for the platform.
The successful design solutions resulted in a measurable 18% increase in user retention, a 25% reduction in search time, and higher satisfaction with search relevance. These results set the stage for continued innovation and better user engagement for Upflex.
Upflex is an "Airbnb for coworking spaces," connecting remote professionals with flexible workspaces worldwide. The platform facilitates seamless booking for a wide range of coworking environments, catering to different professional needs.
The challenge was to improve first-time user retention, particularly during the booking process for coworking spaces on Upflex.
Research began with a survey on Reddit targeting co-working space enthusiasts (power users) and a UserTesting.com survey for insights from general users. These surveys helped identify user behaviors and preferences.
Hybrid/remote workers, aged 20-45, located in metropolitan areas, and junior to mid-level professionals.
Targeted surveys, a competitive analysis, and user testing with specific screening criteria.
