Using behavioral and attitudinal data in UX design

At ClothezForU, a fictional company facing declining online sales following a product display page redesign, various team members explored potential reasons for the downturn, highlighting the complexities of data-driven decision-making in product design. The scenario underscores the importance of both behavioral and attitudinal data in understanding user interactions and experiences: behavioral data provides objective insights into what users do, while attitudinal data reveals why they take those actions. The article explains how combining these data types can inform design improvements and enhance user satisfaction, using methods such as session recordings, eye-tracking, surveys, and usability tests. By employing these strategies, ClothezForU aimed to address user needs more effectively, validate new design concepts, and ultimately improve sales performance by understanding both what users do and why they do it.