Tailored Swift
- UX Design App -
Brief
This is a 5 days task to design a simple mobile application that helps users deal with the common challenges and pain points related to organizing their closet.
Role: UX Designer & Researcher
Duration: March 2020, 5 days
Tools: Adobe XD, Photoshop, Pen, and Paper
Problem
To understand the problem domain and discover design opportunities, I started with reviewing literature and analyzing competitors included ‘Cladwell’, ‘SmartCloset’, ‘ClosetSpace’, and some apps with virtual dressing models.
I then identified my target users to be 23-35-year-old busy professionals who do not have time to choose the right daily outfits from their overflowing wardrobe, and preferring to use Google Calendar to arrange their schedule.
There are a great number of wardrobe organizing apps, but most of them lack an easy-use interface, efficiency, and sufficient customization with flexible user control. Additionally, most existing apps use collage or model pictures to show products, which often ends up looking very differently when people actually put on the outfit.
How might we help users to have a fun and efficient wardrobe organising experience?
Persona
I adopted 5 semi-structured interviews to help me achieve a more user-friendly design, with the understanding of the knowledge context.
Following the user journey, I found that my target users tend to use a similar wardrobe app 1-2 times a day for less than 40 minutes, mostly before they go out or when seeking inspiration/viewing and matching items in their leisure time. They concluded the desire to have suitable outfits automatically created just for them, and want the process to be fun.
What if there is a service that is able to help users to…
A wardrobe organizing app that helps users to plan and create daily outfits uniquely for them, try different options, and learn to choose outfits through statistics and inspiration.
Sketch
Information Structure
Looks Screen
On the Looks Screen, users can create different themes for their unique outfits, the design is like a combination mood board and playlist, and encourages user creativity. They can also select from categorized suggestions which are created and designed for their different moods.
Final thoughts
My draft idea was to let users try on different items through their smartphone camera, like AR. However, as I thought through the user journey and conducted the interviews, I found that it was inconvenient for users to point their phone at the mirror while considering whether the outfit suits them. This could lead to poor efficiency, and one is unable to use it when there is no mirror. Based on the feedback, I decided to use virtual models and the algorithms to help users enjoy creating outfit selections.
This was my early project and was not fully developed. I have enhanced myself through conducting user research, structuring information architecture, and doing usability testing. This project brought me to later rethink issues related to algorithms, especially algorithm biases: What technocally might affect whether a model is biased or discriminatory? Despite lacking human prejudice, is it able to show the best results? These thus lead me wanting to explore machine learning and set the foundation for my future projects.
Prototype：
https://xd.adobe.com/view/dda566ff-8840-4047-81df-4ff54b8973fb-88f6/
