Efficient Restaurant
Discovery
I designed an ecosystem to alleviate frustration of finding restaurant by giving ranking, categories, trending restaurant by town. I led the design through research, iteration, and prototyping, thinking outside the box to explore both practical and speculative solutions.
F&B
B2C Product
Business Strategy
Tool
Figma & plugin
Adobe CC
Product Designer
user Research
Visual Design
Prototyping
(Solo Project)
My Role
Time line
Problem
Business Opportunity
How can we optimize the restaurant selection process to enhance decision-making efficiency for consumers?
We Prototype, We Test, We Fail, We Restart
Although often viewed as a straightforward process, our approach was iterative and adaptive.
We frequently revisited each phase to refine our solution, incorporating real-world feedback and
evolving user needs.
01
Define
Pain & Goal
User Needs
Discover
02
Solution
Design
03
Projectd Impact
Deploy
04
PROCESS
We conducted desk research and over 12 user interviews across different
age groups to understand the challenges in finding restaurants. The insights
revealed differences in preferences, accessibility issues, and the need for
personalized recommendations.
Why Isn’t Restaurant Discovery Working—and How Can We
Make It Effective?
USER RESEARCH
After finishing the project i have learned problem
“How are the people going to drop these nollution detector into the ocean?”
“How can people go out to sea if they don’t have a boat or ship?”
What if the Nollution detector drifts out to the Atlantic Ocean or somewhere unintended?
© 2025 by Minjun Byun
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