ADOBE DESIGNATHON UI/UX TRACK WINNER
Chance AI UX Flow Redesign
Redesigning the profile memory, loading UX, and share flow to transform casual snaps into an engaging, delightful visual experience worth sharing.
Role
Product &
Motion Designer
Team
Hyewon Hong
Adam Abuh
Scarlett Wang
Service
UX/UI Design
UX Research
Motion Graphics
Timeline
April 2026
Tool Used
Overview
What is Chance AI?
Chance is a visual AI agent that helps people understand the world through their camera. With each snap, the app turns curiosity into understanding, translating a single glance into cultural, historical, and personal context.
My Role
As the Product & Motion Designer on a four-person team, I worked on the redesign flow in Figma and created motion graphics to highlight key features.
CHALLENGE #1
How to form the memory functions for users as they snap more images?
CHALLENGE #2
How to improve the waiting experience for users?
CHALLENGE #3
How to make users want to share their discoveries to social media?
DESIGN APPROACH
Reimagining Memory, Loading & Sharing as One Experience
Instead of treating these as three separate design challenges, we approached the redesign by unifying memory, loading, and sharing, emphasizing on Chance's visual-forward philosophy and creating an experience that feels engaging, personal, and worthy of sharing with others.
SOLUTION #1
Visual Theme Collections reflects Personal Visual Identity
SOLUTION #2
Visual-Forward Loading Animation adds more fun
SOLUTION #2
Auto-Generated Collage Worth Sharing
DEMO VIDEO
FINAL PROTOTYPE
OUTCOME
Our Team won UI/UX Track Winner in Designathon!
This was my first hackathon experience, where I collaborated with an incredible team to bring this project to life. A truly memorable and rewarding journey.
