As a team, we looked into the commonalities among the fashion purchasing patterns of young people between the ages of 18 – 30. We conducted a survey with a total of 92 respondents to obtain surface-level insights that answered questions we had regarding the factors that influence consumers’ clothing purchases and sustainable alternatives that they practice.
Our journey began with extensive research, including the creation of user personas and user journey maps, which allowed us to empathize with our target audience. To further distill our insights and generate innovative solutions, we applied ideation techniques like “Crazy 8s” for rapid idea generation, prioritization grids to rank potential features, and “Big Dot Voting” to collectively identify top priorities. Common themes that we came across in our solutions were ideas that prolonged clothing lifecycles, maintain clothing articles, and contributing to sustainable fashion practices.
One of our app’s distinctive features is reminding users of their under-utilized wardrobe pieces by providing them with options for revitalization or sustainable disposal. I created a diagram outlining the step-by-step process that users follow when encountering this feature. It begins by sending a reminder notification. Once alerted, users can seamlessly navigate to the app, where they are presented with various choices of creating a post and sharing the item with their fashion community to explore styling tips and ideas from their network. Alternatively, they have the option to access resources for sustainable disposal methods, promoting eco-conscious choices.
I began the design process by leading the team in creating medium-fidelity wireframes to test the interactions and flows with users. When creating the mid-fidelity wireframes, I made sure to maintain a clear representation of the interface with consistent elements such as fonts, colours, and spacing to create a cohesive appearance. Ensure a logical layout for users to navigate the flow between screens or pages.
From the three usability tests that we each conducted, we were able to assess complications users had with our designs, and we made revisions accordingly to our high-fidelity prototype. Below are a few issues that I came across and addressed:
