OLIVIA QI


About
Contact


* = concept

WEB / UX

  1. Rate My Plate
  2. Mouseyverse
  3. Da Capo*

GRAPHICS 

  1. Hasitha Guhan
  2. TeenTix merch
  3. Chinoiserie Script
  4. Brat poster*
  5. Blood poster*
  6. Luna Li merch*
  7. The Marías merch*
  8. Aphrodite Metropolis poster*
  9. Wild book cover*
  10. My Kid Could Play That*
  11. FAST layout design*

MISC.

  1. Surveillance
  2. Aphrodite Metropolis campaign*
Rate My Plate    UX design, Web design  TEAM: 2 designers, 3 devs, 2 project leads
ROLE: UX Designer
TOOLS: Figma, Photoshop Rate My Plate is a social food rating app for UCLA’s dining options that I developed with Nova. It aims to help new students keep track of what foods they like and see when they’re being served in dining halls.

PROBLEM STATEMENT
It’s easy to get overwhelmed by the schedules and constantly changing menus of UCLA dining halls, and how that affects food quality at any given moment. My team of first-year students experienced this frustration, and that inspired us to create an website to crowdsource reviews of UCLA food.

We challenged ourselves, “How can we create an up-to-date food rating app for new UCLA students?”

RESEARCH
Before my co-designer and I even started thinking about visual elements, we ran a competitive analysis of BruinDining, Beli, Yelp, and Reddit, which are other apps and sites our target demographic of UCLA students use to assess food quality.

Synthesizing the information from our competitive analyses, my co-designer and I created a user persona.

WORKING WITH DEVS
After my co-designer and I finished the hi-fi mockups, we handed off the designs to the web development team. They did an amazing job making Rate My Plate functional and translated our designs to reality.   


REFLECTION

This was my first time working on UX design with a team, and I quickly picked up a lot of Figma and project management skills from working with my project lead. If my team was given a longer timeframe than the two months we were given, we would’ve added more personalization through data analysis, like suggesting dining hall based off previous ratings and relative location, and improved accessibility with a high-contrast viewing mode and dietary restriction filtering.

© 2025oliviarxqi@gmail.comLast updated 2/28/2025