everyday closet
Turning “What should I wear?” into an Easier Decision with an AI-Stylist
An AI-powered wardrobe personalisation fashion system designed to reduce decision stress and support everyday well-being.
Role
Product Designer (UX/UI&Branding) 100%
Time Frame
9 Weeks
Aug-Nov 2024
Tools
Figma, Illustrator, Photoshop, Premiere Pro, Procreate & Chat GPT
Client
QUT Capstone Project
🤖 AI Integration
Proposed initial content categorisation concepts and leveraged AI to explore alternative approaches, refining the final information architecture.
Used AI to explore typography options aligned with brand attributes, while independently evaluating and selecting the final visual direction.
Overview
How Can Fashion Work as an Everyday System of Care?
Exploring how fashion can enhance people’s well-being in everyday life.
everyday closet is a wardrobe-based fashion service designed to support easier and more comfortable outfit decisions.
By connecting users' existing wardrobes with their daily context, the project explores how fashion can go beyond self-expression and contribute to everyday well-being.
The Problem
The Hidden Weight of Choosing What to Wear
Outfit decisions are more complex than they appear
While exploring how fashion can contribute to well-being, I discovered that many people face the recurring question, “What should I wear today?”
Choosing an outfit is a complex decision-making process that requires considering multiple factors, including weather, schedule, location, and social context. Repeated every day, these decisions can create ongoing cognitive load and decision fatigue, making a seemingly simple task more mentally demanding than it appears.
Initial market research (User Interview, Affinity Mapping & Competitive Analysis) 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
Reframing Fashion as Support, not just Recommendation
Identifying what current fashion tools overlook
Based on the market research, I found an opportunity to build more context aware experiences that reflect how people actually live.
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.
Beyond Outfit Recommendations
Through this approach, everyday closet supports well-being by reducing decision fatigue, encouraging social connection, and helping users make better use of their existing wardrobes.
Fashion becomes more than a recommendation tool.
It becomes an everyday system of care.
Design Process
From Idea to Execution
including information architecture, wireframes, and iterative refinements across low-, mid-, and high-fidelity stages.
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
Brand Guidelines
Visual Language and Tone of Care
UI Style Guidelines
How Users Interact with the System
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