Two mobile app mockups, one shows the home page of a gallery of clothing and the other is a conversation between a user and an AI chatbot that helps users style clothesTwo mobile app mockups, one shows the home page of a gallery of clothing and the other is a conversation between a user and an AI chatbot that helps users style clothesTwo mobile app mockups, one shows the home page of a gallery of clothing and the other is a conversation between a user and an AI chatbot that helps users style clothes

capsule

  • 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

capsule is a mobile app that helps users style the clothes they already own.

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.

Click here to jump to my solution!

Problem

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?

Research

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:

  • Most people do not mind rewearing outfits
  • A lot of people got style inspiration from all over the place: social media, television, friends, etc.
  • Weather plays a huge factor in how people dress for the day
  • When getting for the day, a lot of people liked to start with one piece they want to wear, and then style the rest of their outfit based on that
  • Most agree that fast fashion is bad for the environment, but understand the need for it for financial and accessibility purposes
  • Surprisingly, a few people have their own tracking system to document their clothes and when they've worn them!

Discovery

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.

Persona

I created a persona, Margot, based on my user interviews.

User persona for Margot, a 27-year-old fashion enthusiast

Competitive Analysis

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.

Chart looking at Cladwell, Pinterest, and Stylehack's strengths and weaknesses

User Journey

I sketched out a user journey to get an idea of how the user would incorporate this app into their morning routine.

User flow for using capsule while getting ready for the day

With this, I jumped straight into design, starting from mid-fidelity and iterating until I reached a high-fidelity look and experience I liked.

Design

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!

Styleguide

Preview of DM Sans font

Primary font

Preview of Prata font

Secondary font

Emerald green, gold, black, dark grey, light grey, and white color scheme

Color palette

Clothes hanger logo with capsule text

capsule logo

Onboarding

To streamline the process of styling clothes, users can create an account or login to save all of their recent stylings and closet picks.

Mobile splash screen with capsule logo

Step 1

Onboarding screen with short description of capsule

Step 2

Create account page

Step 3

Home Page

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!

Mockup of capsule home page

Chatbot

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!

Mockup of chatbot interaction

1 - Open up chatbot

Mockup of chatbot interaction

2 - Select image upload

Mockup of chatbot interaction

3 - Open camera

Mockup of chatbot interaction

4 - Take pic on camera

Mockup of chatbot interaction

5 - Send pic to chatbot

Mockup of chatbot interaction

6 - Confirm item description

Mockup of chatbot interaction

7 - View styling inspo

Mockup of chatbot interaction

8 - View full style report (pt 1)

CMockup of chatbot interaction

9 - View full style report (pt 2)

Closet

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.

Mockup of closet page

Closet overview

Mockup of clothing item information page

Clothing item overview

New Users

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!

New user's view of the home screen

Home

New user's view of the chatbot experience

Chatbot

New user's view of the closet screen

Closet

Conclusion

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.