Utilizing AI Summaries to help students resolve registration issues independently.
Students often encountered confusing or unexplained roadblocks when attempting to register for courses. This project focused on designing a troubleshooting experience that helps students understand why they can’t register and what actions they can take to resolve issues in real time.
User Needs & Pain Points
Through stakeholder workshops and user feedback, we identified several key challenges:
Students lacked visibility into eligibility issues, time conflicts, and registration holds.
Errors surfaced too late in the flow, after significant effort had been spent building a schedule.
The existing system relied on administrative support to troubleshoot, causing delays and frustration.
Design Goals
Provide clear, actionable feedback at the moment a registration issue occurs.
Reduce dependency on support teams by enabling self-service resolution.
Account for complex academic rules while keeping the experience intuitive and focused
My Role Goals
Led UX strategy and design for a troubleshooting experience that surfaced real-time, actionable guidance during course registration.
Partnered with product, engineering, and ML teams to balance usability with complex academic rules.
Pattern Exploration
Final Prototype