Let's Get Dressed

Let's Get Dressed: A Smarter Way to Get Ready
Revolutionizing how men choose their daily outfits with AI-powered recommendations personalized to your style, schedule, and weather.
Solving the Daily Wardrobe Dilemma
The Challenge
Standing in front of a full closet yet feeling like you have nothing to wear is a universal experience. For men with busy schedules spanning multiple events or occasions, this decision becomes even more complex.
Our Solution
Let's Get Dressed eliminates the guesswork from your morning routine. By understanding your personal style, daily schedule, and available wardrobe, we provide outfit recommendations that are perfectly suited for your day ahead.
The Impact
Users save time, feel more confident, and expand their style horizons without purchasing new clothes. Our smart recommendations help men look their best for every occasion while making the most of their existing wardrobe.
Smart Features That Simplify Your Morning
Calendar Integration
Syncs with your calendar to understand your daily schedule and recommends appropriate attire for each event.
Weather-Aware
Checks local weather conditions to ensure your outfit is appropriate for rain, shine, or anything in between.
AI Styling
Learns your preferences over time to provide increasingly personalized recommendations tailored to your taste.
Virtual Try-On
Visualize complete outfits with AR technology before getting dressed to save time and build confidence.
Get Alternatives Without Shopping Trips
Outfit perfection
Find your ideal look with minimal effort
Wardrobe maximization
Discover new combinations from clothes you already own
Smart shopping suggestions
Get recommendations for items that complement your existing wardrobe
Never struggle with outfit decisions again. Let's Get Dressed shows you alternative clothing options from your closet first, helping you rediscover forgotten pieces. When you need something new, we suggest purchases that integrate seamlessly with your current wardrobe, maximizing versatility and minimizing waste.
Your Day, Your Schedule, Your Perfect Outfit
Morning Meeting
Professional attire that makes the right impression with clients and colleagues
Lunch Workout
Appropriate gym wear that can be easily stored in your bag
Afternoon Casual
Comfortable yet presentable options for returning to the office
Evening Drinks
Stylish recommendations that transition smoothly from work to social settings
Learning Your Style Preferences
Initial Closet Scan
Catalog your entire wardrobe with easy photo scanning
Feedback Collection
Rate outfit suggestions to refine recommendations
Style Analysis
AI processes your preferences and wearing patterns
Continuous Improvement
Suggestions become more personalized over time
Let's Get Dressed employs machine learning to understand what you like to wear and when you like to wear it. By analyzing your feedback and wearing patterns, our recommendations become increasingly accurate, saving you time and decision fatigue every morning.
Try Before You Dress with AR Technology
Select Your Recommended Outfit
Choose from personalized outfit suggestions based on your day's schedule
Launch Virtual Try-On
Use your smartphone camera to see how the complete outfit looks on you
Make Quick Adjustments
Swap items or try alternatives without physically changing clothes
Dress With Confidence
Get dressed knowing exactly how your outfit will look throughout the day
Research-Driven Design Process
5
Interviews
In-depth conversations with men from diverse backgrounds and style preferences
20
User Tests
Conducted across 4 separate testing rounds to refine the experience
71
Final Screens
Comprehensive interface covering every aspect of the styling experience
5
Wireframe Iterations
Progressive refinement based on user feedback and usability testing
Understanding Our Users
Styleless Steve
Steve struggles to understand which clothing items work together and wants to improve his style but doesn't know where to start. He's overwhelmed by fashion advice and needs clear, personalized guidance.
Confused Connor
Connor has a reasonable sense of style but often feels uncertain about what's appropriate for different occasions. He second-guesses his choices and frequently asks friends for outfit approval before important events.
Busy Bob
Bob's calendar is packed with diverse activities from professional meetings to casual social events. He needs versatile outfits that can transition between different settings and struggles to plan ahead for his varied schedule.
Key Research Findings
Confidence is Key
Men prioritize feeling confident in their outfits, especially for important events and new situations. The right clothes significantly impact their sense of self-assurance.
Versatility Challenges
Many users struggle with planning outfits for days with multiple events requiring different dress codes, creating anxiety about appropriate transitions.
Ambiguous Dress Codes
Events with unclear dress expectations (like "smart casual" or "business casual") cause particular stress and uncertainty for male dressers.
Social Acceptance
Looking good to impress others and fit into social settings is a primary motivation, particularly for men with less fashion experience.
Iterative Design Process
Research & Discovery
Conducted user interviews and market analysis to identify core pain points in men's dressing habits
Initial Sketching
Created rough sketches focusing on clean navigation and visual presentation of outfit recommendations
Wireframing
Developed detailed wireframes through 5 iterations, refining the user journey and core features
Prototyping
Built high-fidelity prototypes and conducted 4 rounds of user testing to validate the design solutions
Initial Sketches & Concept Development
The sketching phase allowed rapid exploration of different interface concepts and user flows. I focused on creating large, visually appealing elements with supporting text separated from visuals. Several features were added or removed through this iterative process to maintain focus on the core problem: making outfit selection effortless.
Wireframe Development
Homepage Flow
The main interface showing outfit recommendations with options to enlarge items, view reasoning, explore alternatives, and access AR try-on features.
Add Item Flow
A streamlined process allowing users to quickly add new clothing purchases to their digital closet, keeping recommendations current.
Outfit Catalog
Archive of previous recommendations that serves as both a history and a learning tool to help users understand appropriate outfit combinations.
Final Prototype Features
Personalized Onboarding
Users connect their calendar and location for weather-aware recommendations, then scan their closet using machine vision technology. This creates a comprehensive digital inventory of clothing items, with machine learning identifying which pieces are worn most frequently.
Daily Outfit Recommendations
Each morning, users receive outfit suggestions tailored to their day's activities and weather conditions. Every piece includes reasoning for its selection and alternatives available from their existing wardrobe or through purchase.
Augmented Reality Try-On
Users can visualize complete outfits using AR technology before physically getting dressed, saving time and building confidence in their appearance for the day ahead.
Preference Learning System
The app's recommendation engine improves over time through user feedback. Each outfit rating helps calibrate future suggestions, creating an increasingly personalized experience.
Project Outcomes & Learnings
This project reinforced the critical importance of putting user needs at the center of the design process. The most significant insight was discovering how personalization through smart onboarding is the key differentiator for this application. If revisiting this project, I would focus on working faster through iterations rather than seeking perfection in early stages, allowing for more comprehensive exploration of design solutions.