AskSia is a rapidly growing AI study companion, serving as the core learning tool for more than 100,000 users worldwide. My team redesigned the workspace and file management system to give the product a scalable foundation for its rapid expansion.
As students uploaded more course materials and ran more AI sessions, the original workspace became hard to navigate. Files, chats, and study outputs were scattered, and the structure could not keep up with new features.
A restructured workspace that organizes materials by course, keeps AI conversations tied to the files they reference, and makes file management predictable across the product.
The new foundation supported continued growth and made it faster for the team to ship new learning features without reworking navigation.
Usability testing and a design analysis of the existing product surfaced where students lost context. Key insights guided the information architecture and the constraints the team worked within.
Working inside a fast-moving AI product taught me to design systems that stay flexible as capabilities change.