Project Type:
Personal
Strategies:
User Research, Personas, Competitive Analysis, User Journey, Styleguide, Wireframing, Prototyping
Timeline:
Feb - May 2020
Tools used:
Figma
Project Type: Personal
Strategies: User Research, Personas, Competitive Analysis, User Journey, Styleguide, Wireframing, Prototyping
Timeline: Feb - May 2020
Tools used: Figma
Fashion companies and corporations produce millions of tons of textile waste every year, and produce lower quality clothes in the trendiest styles to get consumers to purchase more. Because of this, we are inclined to consume more clothes, whether or not we need it, or even really want it.
My goal was to set out and explore this issue of environmentalism and fashion. As a fashion lover and occasional trend-consumer myself, I decided to try to find a way to tackle this deeply-rooted and systemic issue on a more individual level.
Interested in fashion sustainability for a while at this point, I already have a few strong opinions on the topic: the best way we can be sustainable is to 1) reduce our consumption and to 2) love the clothes we own first.
With that in mind: How might we prioritize the longevity of the clothes we own first before purchasing new ones?
To start my journey, I sent out a survey to groups and communities of fashion lovers to get a general idea of how they shopped for new clothes and rewear their current ones.
From there, I reached out to a few individuals from the surveys for a more deeper dive. With each person we had a conversation on how they view fashion sustainability, how they pick out what to wear for the day, and where they shop for clothes. Some noticeable patterns from these interviews were:
After my research, I was able to narrow a direction I wanted this project to go into. Knowing that some of my interviewees had an interest in tracking their clothes, I knew there was potential for a digital product that could expedite that process.
I created a persona, Margot, based on my user interviews.
Next, I looked at other fashion-related products already in the market. I looked at three pretty different, but all-fashion focused apps: Cladwell, Pinterest, and StyleHacks. Each app had a different approach to giving style inspiration to users, but only some had a focus on sustainability, and none of them seem to emphasize the issues with overconsumption, which is something I want my product to tackle.
I sketched out a user journey to get an idea of how the user would incorporate this app into their morning routine.
With this, I jumped straight into design, starting from mid-fidelity and iterating until I reached a high-fidelity look and experience I liked.
capsule wardrobe \'kap-səl 'wȯr-,drōb\ (noun) - a limited, curated collection of clothing, shoes and accessories that can help you live simply while reducing decision fatigue.
capsule is a mobile app that helps fashion lovers style the clothes they already own. During those days where you just feel like you have nothing to wear, you can use capsule to help you put together an outfit using basic styling techniques like color palettes, silhouettes, and the user's weather. capsule's goal is to give you inspiration that doesn't rely on current trends and what other people have worn. The best part, we don't need to know your entire wardrobe to help you out!
To streamline the process of styling clothes, users can create an account or login to save all of their recent stylings and closet picks.
The home page features the weather to give users a sense of how to dress for the day, as well as style inspiration with a carousel of all their previously worn clothing!
To get some style inspo, users can converse with an AI-powered chatbot. Simply describe an article of clothing you’re interested in wearing, or take a picture, and the chatbot will help you come up with outfit inspiration in just a few seconds!
Keep track of previous style clothing items! Over time, users can build up their closet which will help our chatbot figure out your personal style and come up with smarter styling that’s completely catered to your taste.
Regular capsule users will be able to get styling inspiration with the clothes they already uploaded to the app. However, the main goal of capsule is to not overwhelm the user, so users can choose not to store anything in their closet and still get all the help they need!
For my next steps, I had a few features in mind that unfortunately I wasn't able to implement for this version. The first one was a tab for outfit documentation. I had explored the design for that a bit, and knew based on my user interviews that this could have been a potential feature that users would want, but ultimately scrapped it to focus more on the styling features. I also originally wanted to include a chatbot feature where it could give outfit recs from scratch without needing a single clothing item as a starting point, but didn’t include that since I wanted to prioritize the aspect that the app could help without knowing your style.
Overall, this project was both challenging and therapeutic! It was easy to draw inspiration since I was part of the target audience, but also challenging to find an efficient and simple way to get my ideas across, since fashion has such a different experience for everyone.
This project is part of the IDM showcase for Spring 2021, and is also featured on DesignRush.