MY CLOSET
Project Overview
Elevate your style with AI: Introducing My Closet, an app design with an innovative AI outfit generator and dressing room for users in need of help choosing an outfit from their wardrobe.
My Role
Timeline
Tools
Team
Product Designer
4 weeks:
Research, Analyze, Design, User Testing, Presenation
Charlotte Truong
Elizabeth Lee
Dulce Sanchez
Sonia Halmi
Figma
Illustrator
Problem
Users struggle to create stylish, coordinated outfits from their existing wardrobe, leading to decision fatigue and underutilization of their clothing items. This daily challenge results in wasted time and money as people strive for the perfect outfit.
Solution
We developed a fashion app that utilizes AI to generate and recommend outfits from users' existing wardrobes while expressing their personal style efficiently.
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Impact
After implementing our redesigned high-fidelity prototype: 90% of users were able to navigate through the app's functions easily, compared to 30% with the initial design. 80% stated they will be less likely to make unnecessary clothing purchases with this app.
The data speaks:
Understanding Statistic on Consumer Behavior Regarding Clothing Purchases
The research aims to evaluate how fashion and shopping influence users' consumer behaviors. Here are some relevant statistics related to fashion and consumer behavior:
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​54% of consumers made clothing purchases as impulse buys, indicating a strong tendency to buy new items even when their closet is already full (ICSC, 2022)
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80% of people felt they had a full closet but often struggled to find outfits they liked. This statistic underscores the common issue of feeling like there's nothing to wear despite a large wardrobe (Stitch Fix, 2022)
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Despite increasing awareness about the environmental impact of fast fashion, 58% of consumers still bought new clothing items frequently, driven by trends and perceived novelty (McKinsey & Company, 2023)
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Initial Thinking
Target Users
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People who are interested in fashion.
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Younger generations who are interested in personalized experiences.
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Individuals seeking style guidance.
Research Methods
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Existing system (competitors analysis)
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Quantitative research (survey)
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Qualitative research (in-person interviews)
User Research
Affinity Diagram
Notes from in-person interviews with 5 participants​
Research Findings
"I often gravitate toward purchasing singular pieces without considering how they will coordinate with other garments."
"I would love to try new outfits and mix and match new combinations occasionally, but I don't have much knowledge and difficult to keep pace with fashion trends."
"It's hard to find a platform that can tailor and ensembles based on specific styles, body types, occasions."
Problem Statement
How might we establish an effective system that can help users effortlessly create stylish ensembles, reducing the time spent on decision-making and boosting their confidence in daily fashion choices?
Persona
Bella Lee
Art Designer, California
Aspiration
"Looking presentable whenever I go outside is very important to me. Therefore, I would like to not only look put-together and professional at work but also explore new styles and outfits within my closet that align with my interests."
Frustration
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Spend time to choose an outfit, but always feels like there’s nothing to wear.
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Keeping up with the fast paced fashion trends.
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Challenging to style unique pieces of clothing.
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Finds it difficult to transition her wardrobe between seasons.
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Often wears the same outfit combination
Definition & Ideation
Storyboard
We created a storyboard illustrating the user's journey as they face the challenge of selecting an outfit. The narrative showcases the pain points in their current process and demonstrates how our proposed solution addresses these issues, ultimately improving their experience.
Prototype
User Flow
Task: save an outfit from the AI creator
Steps:
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Open the app and land on the home page
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Select the “AI Creator” option from the navigation tab
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Either scan an item from your wardrobe to find outfits for, or select a filter option
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Click “style me” to generate outfit options
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Scroll through different looks and heart the ones you want to save
User Testing Insights
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More detailed explanation
Users expressed confusion about certain functions and need further explanations.
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Privacy decisions and limited options
Users have voiced privacy concerns about body scanning features, confusion about the photo-taking process and limited options.
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Clear visual decisions in displaying information
Use arrow shapes to browse clothing options.
Design Concept
Visual Identity
The interface embodies a minimalist design, featuring clean lines, ample white space, and a carefully curated color palette of soft neutrals.
Final Design
Onboarding Experience
Introduction and an app walkthroughs
Tooltips
Clarify each function the app offers for users.
Get personalized set up
Dressing Room
Try-on clothes virtually.
AI Outfit Generator
Provide outfit mix and match inspirations for every piece of scanning clothes.
Reflection
Takeaways
Developing an intuitive design with streamlined features for a fashion app presented significant challenges. Through collaborative efforts, rigorous usability testing, and data-driven A/B experiments, we successfully transformed complex user pain points into an engaging, user-friendly app experience.
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Future enhancements include implementing a reality and 360-degree view Dressing Room avatar to improve outfit visualization, and integrating a travel feature for destination-specific wardrobe curation. These additions aim to further personalize the user experience and expand the app's functionality.
