Club Project 1st Winner of DFA UW 24-25

Identifit

A virtual closet that brings clarity to what you own,
helps you create outfits and explore new styles

Type
0-1 Product Design
Timeline
Jan - May 2025
(5 months)
Team
Michelle Kim
Ici Su
Lele Zhang
Brittney Van
Jacquline Flynn
Subin Jo
Deliverables
Interactive Prototype
Presentation
Identifit mobile app screens

Overview

When a full closet still feels empty

This project started from a simple frustration that everyone can relate: having a full closet but still not knowing what to wear. Especially with constant new trends and purchase, it became harder to figure out how to match pieces together, and even my own sense of style started to feel blurry.

So we decided to create a virtual closet that makes everything visible and easier to actually use!

The Problem

How might we streamline the process of organizing users’ existing
clothing items to help users identify and explore their styles?

Closet usage diagram showing worn clothes and untouched items

We only wear about 20% of our closet, while the rest goes unused (Pareto Principle). The issue isn’t having too less or many clothes, it’s that the closet doesn’t function as a system. Everything feels scattered, so you lose track of what you own and sometimes even buy things you already have.

It’s ultimately a lack of visibility and structure between your wardrobe and your everyday decisions.

From there, we focused on turning that scattered closet into a clearer system for everyday outfit decisions.

Jump to final solution

Research

Looking closer at how people get dressed

112 Survey responses
17 Interviews
15–26 Age range

We wanted to look beyond just what people wear. To understand our users, we focused our research on key three areas: how they shop, how they organize their closet, and how they put outfits together.

By mapping out the patterns together, it gave us a clearer picture of how people actually use their clothes day to day.

Identifit research findings

1. Struggle to keep track of what’s in their closet

When people can’t easily see what they have, it’s easy to forget about certain items. This lack of visibility often leads to them rebuying things they already own.

2. Lack of assurance with their current style

Without clear guidance and with limited time, it’s tough for people to feel truly confident in how they dress and express themselves.

3. Overwhelmed by the effort needed to try new styles

Even when they want to try something new, pairing outfits from what they already own feels like too much effort. So they fall back on the exact same “safe” outfits.

Most apps focus on separate features, not a connected experience

While many apps help you organize your closet or find inspiration, they rarely connect those two. This leaves you with no real support when you're actually making style decisions in the moment.

So turning that inspiration into a real outfit using what you already own, or truly defining your personal style remains a frustrating challenge.

ACLOSET
STYLEBOOK
WHERING
PUREPLE
LOOKSCOPE
DIGITAL CLOSET
OUTFIT PLANNING
STYLE ANALYTIC
EXPLORATION GUIDANCE
INSPIRATION MATCHING

What this led us to

Based on what we found from both our research and existing apps, we identified four key pain points and translated each of them into a corresponding opportunity area.

Our goal isn't just to 'organize' clothes, but create a more visible, guided process that helps users save time, explore different styles and feel more confident in finding their own.

Ideation

Shaping the product around a real closet journey

To ground our ideas, we created Jacqueline, a persona who embodies the frustration of feeling overwhelmed by a cluttered wardrobe.

Identifit persona

Using her journey as our guide, we clustered our ideas into three core themes: organizing existing inventory, identifying personal style, and exploring new looks. We also added some fun, random features and inspirations whenever something interesting came up.

This led us to define a clear information architecture with five main sections: Home, Virtual Closet, Explore, Archive, and Stats (which later integrated into ‘My Page’). With these pillars in place, we moved straight into sketching for each tab.

Identifit sketches

Mapping the flow and framework

Since the Home page is the first thing users see, I focused on helping them decide today’s outfit quickly and with less effort. Whether they prefer selecting manually, picking from saved outfits, or getting AI-driven recommendations, the flow is designed to minimize cognitive load.

For recommendations, our research showed that users primarily consider occasion and weather when choosing outfits, so we tailored suggestions based on those factors, along with their preferred style.

In the low-fidelity prototypes, I surfaced the daily forecast at the top and added a weekly calendar on the bottom so users can track what they wore, recognize patterns over time, and plan ahead for special occasions.

Identifit low-fidelity prototype screens

After putting together the low-fi in light mode, we felt like everything looked a bit flat and the clothes didn’t really stand out. Since the whole point of the app is to focus on outfits, we decided to switch to dark mode to make the clothing pop more.

We also chose blue as our primary color to make sure the UI feels like a natural extension of your clothes rather than a distraction, since blue is one of the most universal colors in any closet (outside of neutrals). With this visual direction set, we started building out our design system and moving into high-fidelity prototyping.

Identifit design system

Solution

Making your closet finally usable

Validation

Validating our design decisions

After finishing our first iteration, we conducted two rounds of usability testing with a total of 10 participants to validate our design decisions. We used the NASA Task Load Index What is NASA Task Load Index(NASA-TLX)? A method where people rate mental effort, stress, and performance of the task (1–10 scale) to measure how demanding the experience felt, and followed up with a post-test survey to gather additional feedback.

Here's what we saw from the results and how I improved things.

High Usability (Avg.) 4.1/5
Low Friction (Avg.) 2.0/5
Slight Learning curve (Avg.) 2.9/5
Validation participant quotes

Reflection

Our team won Best Overall Design 🏆

Check out my other works too :)