Timeline
Role
Client
Team

Nudge is a verified peer network built exclusively for University of Georgia students. As the lead UX designer, I worked closely with a co-designer, researchers, and our client, Andrew MacDonald—to carry out an end-to-end design of a mobile platform that connects UGA students for academic help, campus knowledge, and professional development. I played a leading role in dictating our design process and sprint timeline, including conducting user interviews, competitor analysis, ideation, prototyping, and hand-off.
Finding peer help on campus is inconsistent and dependent on who you already know.
Students need help in high-pressure moments, but access is inconsistent. Even when help exists, many don’t reach out.
Therefore, they default to familiar sources like friends or AI tools and avoid asking others for help due to uncertainty and social risk.
Why is this important?
Thus, we asked ourselves...
A real-time, peer-to-peer platform that connects students in need of help with those who can offer it.
Desk Research
Sources: Tyton Partners; Strada / Inside Higher Ed; NACE (2024–2025)
Outcome
Research showed a clear indication that while academic and career support systems exist, students struggle to access and use them effectively. This gap comes down to awareness, timing, and perceived usefulness.
Surveys and Interviews
From 8 live interviews and 31 survey responses.
Outcome
After conducting user interviews with 8 UGA students across majors and class years, we found that the need for academic and career support is both real and recurring, especially during midterms, finals, and recruiting season. However, students are not consistently able to access help, and more importantly, often hesitate to ask for it. This hesitation is driven by social discomfort, low trust, and perceived risk, making these the biggest barriers to adoption.

We connected our brand variables directly to Figma Make to accelerate early-stage exploration, which reduced prototyping time from several weeks to just 30 minutes. This allowed us to quickly generate and test multiple flows before committing to high-fidelity design. It also helped us validate core interactions and reduce ambiguity much earlier in the process than a traditional screen-by-screen approach.


Final Takeaways
Key Learnings
Leadership & Cross-Functional Collaboration
Stakeholder Presentation
Rapid Prototyping with Figma Make & Prompting
Feedback & Iterations
Design Systems

