Capsule
Project Overview
Timeline:
I worked with a team of four to design this app for an extracurricular project. We worked through the stages of the design process over the course of about three months.
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Objective:
Design a wardrobe and fashion inspiration app that makes user more excited, confident, and conscious about their wardrobe.
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Summary:
Capsule is a data-driven closet organizer app that helps build sustainable habits and inspire users with visual styling ideas. College students and young adults struggle with outfit decision-making due to limited time, lack of inspiration, and indecision. This leads to frustration, over-reliance on repetitive outfits, and a disconnect between personal style and wardrobe potential. Capsule addresses these points with an inspo feed, social integration, virtual wardrobe, wardrobe statistics, and styling assistant.
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The Problem
College students and young adults struggle with outfit decision-making due to limited time, lack of inspiration, and indecision. This leads to frustration, over-reliance on repetitive outfits, and a disconnect between personal style and wardrobe potential.
The User
Students, young people, and any fashion-conscious individuals who seek affordable, easy-to-use tools to make the most of their wardrobe without the frustration of endless trial-and-error outfit combinations.
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Why Does It Matter?
Outfit choice plays a significant role in self-confidence, personal branding, and daily productivity. Without a practical solution, this problem perpetuates overconsumption (buying unnecessary clothes) or underutilization of existing wardrobes, leading to wasted resources and environmental strain.
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User Research and Insights
​We conducted user research by conducting online research, a competitive audit of existing apps, and finally, interviews and surveys of college students.
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Competitive Audit (existing fashion/wardrobe apps)​​​

User Personas


Noting which features users particularly liked and disliked from each of these apps, we took inspiration and integrated specific features into our own design. Some key findings were that users wanted ease of use when uploading their wardrobes, better outfit suggestions, and different tags/categories to sort their clothes.
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Online research
We also looked at articles online and Reddit to gather more insight about the different ways people categorize and organize their wardrobes
One Vogue Business article (How the Notes app became Gen Z’s Clueless outfit generator) discussed how young people use the Notes app for outfit planning. They highlighted how using the Notes app allowed users to have a high level of customization and organize outfits visually without needing a specialized app. Additionally, the Notes app is free and doesn't push the user to shop, allowing users to save money and focus on personal style and reuse/remix their existing wardrobe items. Notes even has a photo-sticker feature that allows users to easily remove the background from clothing images.
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​​On the subReddit r/femalefashionadvice, users mentioned several different applications they use to categorize their clothes and plan outfits. These included photo apps (i.e. Apple or Google Photos), Airtable, Pinterest, Notion, and Freeform, among others. All of these applications provide a grid/table-like layout that is highly customizable, allowing users to have custom albums or categories. User can also freely move pictures/items around as they please. The main appeal of these custom approaches to wardrobe management is customization, the ability to create tags, and sort by different features as the user pleases. ​
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Interviews and Surveys
We conducted interviews and surveys with other students at our college. Some of the questions we asked inclueded:
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Have you ever used a wardrobe app before? Why or why not?
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Do you plan your outfits; if so, how do you do it? Can you walk me through your process?
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Do you have any difficulties when planning outfits?
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Approximately how many clothing items do you estimate you own?
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What percentage of your closet do you estimate your wear regularly?
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Findings from this portion of user research revealed that users:
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look online for outfit inspiration
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use apps like Instagram and Pinterest for inspiration
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want ways to be more experimental with their fashion
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want to see how clothes look on an actual body before wearing/purchasing
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want outfit suggestions, suggestions on where to buy clothes
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consider weather, situation, and occassion when styling outfits
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want to visualize their clothes better
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want ease of use from a wardrobe app
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Key Findings:​
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83% of young adults prefer personalized outfit recommendations tailored to their existing wardrobe, weather, and events.
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60% of wardrobe items are worn less than twice a year, resulting in underutilized clothing and wardrobe clutter.
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75% of college students struggle with indecision about daily outfits, leading to stress and wasted time.
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Pain Points
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Need for Inspiration: Users often struggle with indecision or lack of inspiration when choosing outfits. They want to see how outfits look when styled on real bodies (similar to Pinterest or Instagram).
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Customization and Freedom: Many users want a high degree of customization and freedom when cataloging their wardrobe and planning outfits, and feel stifled by the rigidity of existing platforms.
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Wardrobe Organization: Tracking and organizing clothes, especially with a growing wardrobe, is challenging. Many people wear only a small percentage of their clothing on a regular basis (50% or less).
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Lack of Time or Energy: The time and effort required to style outfits can be draining, leading to repetitive choices and wardrobe stagnation.
Design Objectives:
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Inspiration & Personalization: Provide users with personalized outfit suggestions based on their wardrobe, preferences, and context (e.g., weather, events).
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Efficient Wardrobe Management: Help users catalog their clothing easily, categorize by brand, color, occasion, etc., and view insights about their most worn or least worn items.
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Minimal Effort: Reduce the effort required for users to plan outfits through suggestions or automation, enabling them to style outfits quickly with minimal input.
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Social & Community Features: Integrate social aspects, allowing users to share looks, save posts, and follow others for inspiration, creating a more interactive and engaging experience.
Ideation and UX Flow




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Sketches and Preliminary Designs






Final Product Features
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Profile Page with advanced closet stats (and actionable insights), user posts, and saved collections
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​Virtual Wardrobe: A feature that allows users to upload photos of their clothing and organize it into categories. Filters let users sort by brand, occasion, season, etc.
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Outfit Stats: Track which items (or colors, etc) are worn most often, as well as any under-utilized pieces, to encourage smarter purchases.
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Posts: Users post pictures of their own outfits, and can create collections to save outfit ideas posted by others.
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AI Assistant:
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Chat: The user can chat with an AI chatbot that suggests outfits based on location (e.g., weather), occasion (e.g., work, concert), and user preferences.
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Automatic Suggestions: The chatbot provides automatic suggestions based on wardrobe stats (i.e. what clothes the user doesn't wear or pair together often).
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For You Feed
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Inspiration: Users can explore an inspirational feed of outfits from other users or curated suggestions based on their style preferences.​
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​Social Integration: Users can post their outfits, follow and message others, and interact by liking, commenting, or saving outfits to inspire future looks.​​
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One idea of mine in particular that we used was the AI recommendation chat with built-in suggestions. Users can chat to the AI to get outfit suggestions, but the chatbot also provides pre-made suggestions, based on existing wardrobe stats (i.e. what clothes the user doesn't wear as often). I took inspiration from Apple Photos memories/suggestions when ideating this feature.
Capsule is not just about outfits—it’s a data-driven wardrobe companion. It combines analytics, sustainability, and personalization to enhance the user experience while encouraging conscious fashion habits, setting it apart from existing outfit apps focused solely on inspiration.

For You Feed

Profile Page Statistics

AI Chat Suggestions

Talk to the AI Chatbot

Profile Page: Wardrobe

Individual Item Categorization
​Reflections
Throughout the design process, I was reminded of the importance of simplicity and functionality. Initially, we had a lot of ideas for features we wanted to include. However, we realized we had to balance our features with true user need, so we narrowed down a few core features - For You/Inspiration Page, AI assistant, and wardrobe tracking - to use as the basis of Capsule.
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I wasn't sure about adding a social aspect to the app at first; two of my other team members were the ones who initially wanted to include it. However, looking at the findings from our user research, I realized one main user pain point was wanting fashion inspiration, so I realized it might be a worthwhile feature to add.
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Although I am happy with the amount of user research we did, and the product we ended up making, we would ideally also have been able to refine the design further after user testing. Unfortunately, since we did this project through a campus club, we had time and other constraints, so it wasn't possible this time.
Even though we weren't able to do actual user testing, though, one of my teammates and I did present Capsule at a showcase hosted by the campus organization we did the project with, where we got reactions and feedback from attendees. We explained our design process and showed the final prototype to attendees of the showcase. Many of them expressed interest in the idea, saying they would use an app like Capsule if it really existed! ​