Efficient Restaurant 

Discovery

Efficient Restaurant
Discovery

Tool

Figma & plugin

Adobe CC


Product Designer

user Research

Visual Design

Prototyping

(Solo Project)

My Role

Aug 2023 -

Feb 2024

Aug 2023 -

Feb 2024

Time line

Time line

F&B

B2C Product

Business Strategy

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.

In United States 79% are having difficulty finding restaurants.

In United States 79% are having difficulty finding restaurants.

Problem

Quick Snap simplifies dining choices by suggesting trending spots nearby and employing a tailored survey to match your mood, ensuring you discover the perfect restaurant effortlessly.

In United States 79% are having difficulty finding restaurants.

Problem

How can we optimize the restaurant selection process to enhance decision-making efficiency for consumers?

How can we optimize the restaurant selection process to enhance decision-making efficiency for consumers?

How can we optimize the restaurant selection process to enhance decision-making efficiency for consumers?

Business Opertunity

Why Isn’t Restaurant Discovery Working—and How Can We

Make It Effective?

Why Isn’t Restaurant Discovery Working—and How Can We

Make It Effective?

Why Isn’t Restaurant Discovery Working—and How Can We

Make It Effective?

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.

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.

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.

USER RESEARCH

We Prototype, We Test, We Fail, We Restart

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.

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.

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

PROCESS

Solution

Design

03

Projectd Impact

Deploy

04

© 2025 by Minjun Byun

© 2025 by Minjun Byun