Duration
8 Weeks
Team
University Project
Tools
Figma
My Role
UI/UX Designer - conceptualization, user research & analysis, lo-fi & hifi prototyping
Challenge
Gait assessment in clinics is often limited to visual observation and checklists, which lack consistency. To address this, KMI—backed by an NIH-funded Alzheimer’s and fall-prevention initiative—developed a motion-capture system that generates detailed gait metrics. Yet the system’s raw numerical outputs were too complex for clinicians to interpret quickly, reducing its effectiveness for diagnosing fall risk and muscle weakness.
oPportunity
Getting the perfect fit is a key part of Uniqlo’s customer experience, but behind the scenes, the alteration process has its challenges. Employees struggle with slow order tracking, miscommunication, and a cumbersome system that leads to delays and frustration. The Waitwhile system, meant to streamline alterations, lacks real-time notifications, forcing staff to rely on radios instead. Order tracking is also difficult, as the system only displays same-day completed orders, making it hard to find older requests. On top of that, manual data entry often leads to missing customer updates and misplaced receipts. To fix these issues, we designed and tested a faster, more intuitive workflow that improves order tracking, communication, and retrieval across multiple devices. Our solution automates updates, enhances notifications, and simplifies data entry, allowing employees to complete alterations more efficiently. After multiple iterations and user testing, our high-fidelity prototype delivers a seamless, reliable system for Uniqlo employees. With streamlined workflows and improved communication, staff can process orders faster, reducing wait times and ensuring a better experience for both employees and customers.