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Identifit

Your closet, organized. Your style, simplified.

Scope

UI/UX Design

Mobile Design

Team

Michelle K.

Subin J.

Jacqueline F.

Ici S.

Brittney V.

Role

Product Designer

Date

December 2024 – June 2025

Overview

Thoughts of Nothing to Wear?

Outfits often get lost in the clutter of our closets or forgotten in our camera rolls. For those looking to organize, experiment, or simply make getting dressed easier, there's rarely a platform that’s both smart and style-savvy.

Identifit is your personalized style hub, offering 2 key entry points:

01

Outfit Ideas

AI-powered suggestions tailored to your wardrobe and weather

02

OOTD & Virtual Closet

Upload, categorize, and view all your clothes in one place for OOTD

Problem Space

The Pareto Principle shows we regularly wear only 20% of our closet,
while the other 80% sits untouched, often buried in clutter.

User Research +
Interview

We surveyed 112 Gen Z and 17 user interviews to better understand their closet organization and the factors that influence their outfit creation.

Pain Point

01

Struggle to keep track of what’s in their closet

02

Lack of assurance with their current styles

03

Overwhelmed by the effort needed to try new styles

Opportunity

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

Ideation

Explore Personalized & Simple
User Flow

Based on user interviews, we centered two main focus for primary ideation:

01

Personalization

Style is highly personal, so we prioritized features that adapt to individual tastes.

02

Simplicity

With multiples goals in mind, we explored to create a clean, efficient user flow to avoid overwhelming users.

Iteration

When User Spoke 🗣️ We Listened👂

Through 2 rounds of usability testing, many thoughtful feedback were received.

01

Customizable display for users

The subcategories bar was helpful yet many users felt overwhelmed by the amount of information shown at once.

To address this need, the option to dropdown subcategories was introduced as needed.

Categories (Iterations)

02

Navigation with No Confusion

In our initial design, the Mixer page included both outfit creation and an archive of saved outfits which caused confusion, as similar features were available on other pages.

To improve clarity, we renamed the page to “Archive” and removed the outfit creation feature.

Archive (Iterations)

03

Enhance Visual Focus

In original design, the recommendation page displayed multiple outfit suggestions at once. This made it difficult for users to focus on individual looks and appreciate styling details.

New design shows one outfit at a time, using a Tinder-style swipe to make browsing more fun and engaging.

Rec Page (Iterations)

Final Design

Welcome to Identifit!

Identifit is an AI-powered smart closet hub that helps users manage personal wardrobe, plan outfits, and assist their personal style exploration.

With AI recommendations and personalized recommendations, Identifit makes everyday dressing effortlessly and intentional.

Outfit Recommandation

Personalized outfit suggestions tailored to your wardrobe, style preferences, and the occasion.

Recreation

Turn outfit inspo into reality. AI-powered image detection help you recreate looks you love effortlessly.

Reflection

Identifit started with a personal frustration of closet chaos and daily outfit indecision, and grew into a design challenge focused on simplifying wardrobe management. Through interviews and surveys, I learned how to translate user pain points into features like AI outfit recreation and photo-based organization.

Looking ahead, Identifit could evolve into a more personalized style assistant. By integrating real stylists or matching users with virtual styling services, the app could offer curated outfit suggestions tailored to each wardrobe. To support real-world implementation, AI could be trained on labeled outfit images to detect clothing types, styles, and color palettes to enable smarter auto-tagging and recommendations.

©2025 Lele Zhang

Last Update: 2025.07

©2025 Lele Zhang

Last Update: 2025.07

©2025 Lele Zhang

Last Update: 2025.07