Phia x Design Meetup: Designathon Finalist
Phia and Design Meetup ran a two-round designathon around making shopping smarter and more personal. I designed The Rundown for the semifinals and Style Edit for the finals.
How might Phia make shopping smarter, more personal, and less frustrating?
Phia is an AI-powered personal shopping assistant and application that helps fashion shoppers find the best prices across thousands of new and secondhand retailers. Across two rounds, I designed two features: 1) The Rundown, and 2) Style Edit. I made it to the finals as one of 15 designers from over 500 applicants.
WHAT: An AI-powered insights panel inside each product page.
IMPACT: Shortens decision time and reduces returns by surfacing price, sentiment, and real-shopper photos in one place.
WHAT: A gamified swipe game that teaches Phia your style in under a minute.
IMPACT: Gives Phia the personalization signal it normally takes weeks of sessions to build, sharpening recommendations from day one.
Prompt
Redesign a frustrating shopping moment into a smarter, faster, more enjoyable experience.
My Focus
Helping shoppers make confident decisions right at the product page.
The Rundown
An AI-powered insights panel that lives directly inside each product page. It includes three main features:
Business Outcome
For shoppers
Confident decisions right at the product page, without scrolling endless reviews, hopping between tabs to compare prices, or guessing how something will look in their size.
For Phia
Higher conversion where uncertainty is highest, fewer returns from misjudged fit, and a stronger reason to come back.
Prompt
Design an end-to-end feature that addresses a high-friction shopping moment, with two to three use cases.
My Focus
Personalization is where I saw the most room for growth. Phia's algorithm takes a while to learn what shoppers like, so I wanted to close that gap in a fun way.
Style Edit
A gamified swipe-card feature for building your style profile. It surfaces in three moments inside the app:
Business Outcome
For shoppers
A fun, low-effort way to personalize their profile and discover new styles. It's a quick break from browsing that makes the shopping experience feel more personal.
For Phia
Sharper recommendations from day one. Phia's algorithm learns each user's taste right away, so their feeds feel personalized from the first session.
Designing under time pressure clarified what to keep and what to cut.
My first time designing under real time pressure taught me to think and commit fast. The feedback session with Phia's founders let me build, get honest feedback, and iterate before the pitch.
The hardest part was scoping under time pressure, especially in the 24-hour finals sprint. Committing to an idea took longer than I'd like, so next time I'd lock it in earlier and start sooner.
My business background helped me think end-to-end and stay grounded. AI was allowed, so I leaned on Claude to iterate faster and focus on design decisions.
We all had the same prompts, but every execution was completely different. Seeing my peers' different takes was the most inspiring part, a reminder of how much individuality shapes design.
Other Projects
Hemi: A Personal Reflection Journal
Designing and building a digital journal in Claude Code, from a paper planner sketch to a fully deployed web app.
AI Assistant for Google Maps
Designed an AI assistant for place discovery in Google Maps to help reduce decision fatigue.
Yammii: Restaurant Online Order Revamp
Simplified and modernized Yammii's mobile order flow to create a more visually engaging and faster experience.