Case study 011 · UCLA Smart Recommendations
AI personalization for every student

01 / Challenge
Personalized guidance from first class to first job
Streaming apps personalize everything, but education lagged behind. Students needed timely recommendations matched to their own path.

02 / Process
- 01ResearchSurveys, interviews and workshops with students and staff.
- 02Information architectureA sitemap and data diagram to validate personas.
- 03Design auditA coded design system of new and existing components.
- 04PrototypeHigh-fidelity prototypes handed off to development.





03 / Outcome
The personalization of streaming, brought to academics.
Because it’s open source, other schools can adopt and adapt it.