everyday closet
Reimagining Fashion for Everyday Life
A wardrobe-based fashion service designed to reduce decision stress and support everyday well-being
Time Frame
7 Weeks
Role
Product Designer
Team
Just Me !
Tools
Figma, Illustrator, Photoshop, Premiere Pro & Procreate
Overview
How can fashion work as an everyday system of care?
Exploring how fashion can enhance people’s well-being in everyday life.
The project begins with a small concern many people face each day “What should I wear today?”.
Grounded in research that highlights the importance of belonging and sustainable choices in well-being (Buse, K., et al, 2023), Everyday Closet proposes a fashion system that considers not only individuals, but also the environments and relationships they are part of.
The Problem
The Hidden Weight of Choosing What to Wear
Outfit decisions are more complex than they appear
Choosing what to wear is not a simple style choice. It is a complex decision-making process shaped by multiple factors such as weather, schedule, occasion, and social expectations (Interview & Affinity Diagram). Because this decision is repeated every day, the mental effort and pressure accumulate over time, contributing to decision fatigue.
Initial market research showed that many existing AI stylist fashion services consider only limited factors. As a result, users are still required to interpret important contextual information on their own, receiving experiences that are labelled as “personalised” but fail to reflect the reality of their daily lives.
Opportunities
Well-being Is More Than Personal Comfort
Identifying what current fashion tools overlook
Reframing fashion as support, not just recommendation
Based on the market research, I found an opportunity to build more context aware experiences that reflect how people actually live.
Where Well-being Meets Connection and Responsibility
Well-being also comes from feeling connected to others and making sustainable choices that align with the world we live in (Buse, K., et al, 2023). By acknowledging these dimensions, fashion systems can offer more meaningful support between people and the world which willl ultimately positively influence everyday life satisfaction.
Solutions
Introducing everyday closet
A wardrobe-based, context-aware approach
Everyday Closet proposes a fashion system centred on wardrobe-based styling and contextual guidance. This approach aims to reduce everyday decision fatigue and make outfit choices feel more manageable.
Style Quiz
A short onboarding quiz that captures users’ style preferences and physical characteristics, enabling outfit suggestions that reflect real-life context rather than isolated choices.
Calendar & Event Planning
Links outfit planning to users’ schedules and events, reducing preparation stress and supporting confident participation.
Social Sharing
Enables users to share dress codes and outfit ideas, helping users feel socially prepared and connected.
AI Stylist Section
Generates outfit combinations by analysing user preferences, wardrobe items, schedule, weather, and event context.
By enabling users to align their outfits with shared contexts, fashion becomes a medium for connection rather than an isolated choice.
Through this approach, Everyday Closet reimagines fashion as an everyday system of care that supports well-being by easing decisions, respecting context, and strengthening social connection.
Brand Guidelines
Visual language and tone of care
UI Style Guidelines
How users interact with the system
Prototype Guide
How the Prototype Works
This prototype focuses on key interactions rather than full functionality.Please watch the walkthrough video first to understand the designed flow before exploring the prototype.
Figma Prototype
Experience the Prototype
What I learned
The biggest challenge
Balancing personalisation with simplicity
- Avoiding overwhelming users
- Solved with:
- Progressive disclosure
- Clear hierarchy
- Intuitive navigation
What I Learned
Why Testing Early and Often Matters
User testing helped uncover structural and contextual issues, including usability and information clarity problems, reinforcing the value of testing early to improve overall user experience.
What I would do differently
Balancing personalisation with simplicity
- Conduct usability testing earlier
- Test even rough wireframes
- Faster iteration cycle
HOME
ABOUT
everyday closet
Reimagining Fashion for Everyday Life
A wardrobe-based fashion service designed to reduce decision stress and support everyday well-being
Time Frame
7 Weeks
Role
Product Designer
Team
Just Me !
Tools
Figma, Illustrator, Photoshop, Premiere Pro & Procreate
Overview
How can fashion work as an everyday system of care?
Exploring how fashion can enhance people’s well-being in everyday life.
The project begins with a small concern many people face each day “What should I wear today?”.
Grounded in research that highlights the importance of belonging and sustainable choices in well-being (Buse, K., et al, 2023), Everyday Closet proposes a fashion system that considers not only individuals, but also the environments and relationships they are part of.
The Problem
The Hidden Weight of Choosing What to Wear
Outfit decisions are more complex than they appear
Choosing what to wear is not a simple style choice. It is a complex decision-making process shaped by multiple factors such as weather, schedule, occasion, and social expectations (Interview & Affinity Diagram). Because this decision is repeated every day, the mental effort and pressure accumulate over time, contributing to decision fatigue.
Initial market research showed that many existing AI stylist fashion services consider only limited factors. As a result, users are still required to interpret important contextual information on their own, receiving experiences that are labelled as “personalised” but fail to reflect the reality of their daily lives.
Opportunities
Well-being Is More Than Personal Comfort
Identifying what current fashion tools overlook
Reframing fashion as support, not just recommendation
Based on the market research, I found an opportunity to build more context aware experiences that reflect how people actually live.
Where Well-being Meets Connection and Responsibility
Well-being also comes from feeling connected to others and making sustainable choices that align with the world we live in (Buse, K., et al, 2023). By acknowledging these dimensions, fashion systems can offer more meaningful support between people and the world which willl ultimately positively influence everyday life satisfaction.
Solutions
Introducing everyday closet
A wardrobe-based, context-aware approach
Everyday Closet proposes a fashion system centred on wardrobe-based styling and contextual guidance. This approach aims to reduce everyday decision fatigue and make outfit choices feel more manageable.
Style Quiz
A short onboarding quiz that captures users’ style preferences and physical characteristics, enabling outfit suggestions that reflect real-life context rather than isolated choices.
Calendar & Event Planning
Links outfit planning to users’ schedules and events, reducing preparation stress and supporting confident participation.
Social Sharing
Enables users to share dress codes and outfit ideas, helping users feel socially prepared and connected.
AI Stylist Section
Generates outfit combinations by analysing user preferences, wardrobe items, schedule, weather, and event context.
By enabling users to align their outfits with shared contexts, fashion becomes a medium for connection rather than an isolated choice.
Through this approach, Everyday Closet reimagines fashion as an everyday system of care that supports well-being by easing decisions, respecting context, and strengthening social connection.
Brand Guidelines
Visual language and tone of care
UI Style Guidelines
How users interact with the system
Prototype Guide
How the Prototype Works
This prototype focuses on key interactions rather than full functionality.Please watch the walkthrough video first to understand the designed flow before exploring the prototype.
Figma Prototype
Experience the Prototype
What I learned
The biggest challenge
Balancing personalisation with simplicity
- Avoiding overwhelming users
- Solved with:
- Progressive disclosure
- Clear hierarchy
- Intuitive navigation
What I Learned
Why Testing Early and Often Matters
User testing helped uncover structural and contextual issues, including usability and information clarity problems, reinforcing the value of testing early to improve overall user experience.
What I would do differently
Balancing personalisation with simplicity
- Conduct usability testing earlier
- Test even rough wireframes
- Faster iteration cycle
HOME
ABOUT
everyday closet
Reimagining Fashion for Everyday Life
A wardrobe-based fashion service designed to reduce decision stress and support everyday well-being
Time Frame
7 Weeks
Role
Product Designer
Team
Just Me !
Tools
Figma, Illustrator, Photoshop, Premiere Pro & Procreate
Overview
How can fashion work as an everyday system of care?
Exploring how fashion can enhance people’s well-being in everyday life.
The project begins with a small concern many people face each day “What should I wear today?”.
Grounded in research that highlights the importance of belonging and sustainable choices in well-being (Buse, K., et al, 2023), Everyday Closet proposes a fashion system that considers not only individuals, but also the environments and relationships they are part of.
The Problem
The Hidden Weight of Choosing What to Wear
Outfit decisions are more complex than they appear
Choosing what to wear is not a simple style choice. It is a complex decision-making process shaped by multiple factors such as weather, schedule, occasion, and social expectations (Interview & Affinity Diagram). Because this decision is repeated every day, the mental effort and pressure accumulate over time, contributing to decision fatigue.
Initial market research showed that many existing AI stylist fashion services consider only limited factors. As a result, users are still required to interpret important contextual information on their own, receiving experiences that are labelled as “personalised” but fail to reflect the reality of their daily lives.
Opportunities
Well-being Is More Than Personal Comfort
Identifying what current fashion tools overlook
Reframing fashion as support, not just recommendation
Based on the market research, I found an opportunity to build more context aware experiences that reflect how people actually live.
Where Well-being Meets Connection and Responsibility
Well-being also comes from feeling connected to others and making sustainable choices that align with the world we live in (Buse, K., et al, 2023). By acknowledging these dimensions, fashion systems can offer more meaningful support between people and the world which willl ultimately positively influence everyday life satisfaction.
Solutions
Introducing everyday closet
A wardrobe-based, context-aware approach
Everyday Closet proposes a fashion system centred on wardrobe-based styling and contextual guidance. This approach aims to reduce everyday decision fatigue and make outfit choices feel more manageable.
Style Quiz
A short onboarding quiz that captures users’ style preferences and physical characteristics, enabling outfit suggestions that reflect real-life context rather than isolated choices.
Calendar & Event Planning
Links outfit planning to users’ schedules and events, reducing preparation stress and supporting confident participation.
Social Sharing
Enables users to share dress codes and outfit ideas, helping users feel socially prepared and connected.
AI Stylist Section
Generates outfit combinations by analysing user preferences, wardrobe items, schedule, weather, and event context.
By enabling users to align their outfits with shared contexts, fashion becomes a medium for connection rather than an isolated choice.
Through this approach, Everyday Closet reimagines fashion as an everyday system of care that supports well-being by easing decisions, respecting context, and strengthening social connection.
Brand Guidelines
Visual language and tone of care
UI Style Guidelines
How users interact with the system
Prototype Guide
How the Prototype Works
This prototype focuses on key interactions rather than full functionality.Please watch the walkthrough video first to understand the designed flow before exploring the prototype.
Figma Prototype
Experience the Prototype
What I learned
The biggest challenge
Balancing personalisation with simplicity
- Avoiding overwhelming users
- Solved with:
- Progressive disclosure
- Clear hierarchy
- Intuitive navigation
What I Learned
Why Testing Early and Often Matters
User testing helped uncover structural and contextual issues, including usability and information clarity problems, reinforcing the value of testing early to improve overall user experience.
What I would do differently
Balancing personalisation with simplicity
- Conduct usability testing earlier
- Test even rough wireframes
- Faster iteration cycle
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Overview
Problem
Opportunities
Solutions
Design Process
Design System
What I learned