I was tasked with redesigning a dynamic AI tagging software interface after the company expressed frustration with the existing design, which was difficult to navigate and required excessive scrolling and page-switching to access essential tagging information. To address these usability issues, I led a research-driven design process, outlined in the next section, to create a more intuitive and efficient user experience.

Based on insights gathered from comprehensive user research, I translated findings into final designs for an AI tagging system that streamlined users’ workflows and improved overall efficiency. By identifying key user pain points and mapping the end-to-end experience, I designed an intuitive interface that aligned with real user behavior. The final product emphasized ease of use, minimized cognitive load, and provided clear visual hierarchy—resulting in a more seamless, intelligent tagging experience.