Zerve.com’s index pages listed thousands of local activities across 32 metros in the United States. A robust set of filtering options enabled users to refine their results by location, date and time, category, price range, and duration. Location, date and time and category filters were designated as primary filtering actions and presented by default to users. Through extensive User Acceptance Testing conducted by the product team, we were able to refine and optimize the UI/UX of Zerve’s filters.
Common use cases captured the behavior of both locals and tourists as our booking data helped guide product decisions. Responsive activity listing modules were designed to cleanly present the information needed by consumers to quickly scan through multiple offerings and easily choose appropriate things to do.
Activity listings were displayed as list modules and also as tiles in grid view. The main activity photo, title, price and ratings were primary pieces of info that displayed with each listing. These modules were responsive.
Through User Acceptance Testing feedback, we iterated on the UI and UX of filters and refined the overall consumer experience.