FitCheck is many things: a wardrobe management app, a marketplace, and a social media app. With the many functions the app has in mind, we had to hone in on who we primarily designed the app for.
With that in mind, the primary user for the app is teenagers and young adults interested in fashion. A key aspect we needed to consider as well was that their level of interest in fashion can heavily vary. From viewing fashion as a necessity for events, to those who live and breathe fashion. As such, we needed to design for both.
We also identified secondary users who may benefit or find some use in FitCheck. Those groups are:
Any social media platform comes with those who use it as a content creation tool. FitCheck needs to keep in mind those who use the app for more than posting their outfit of the day or keeping their wardrobe organized and design features such as analytics for them.
While the main purpose of our app is for users to manage their wardrobe, which includes selling things they don’t want and buying new pieces, that marketplace will almost definitely also be used by those who just want to make money off reselling the new trending pair of sneakers. Those users must be kept in mind when designing marketplace tools.
Due to the limited time we had working on this project, we had to keep our research small, but optimize the amount of data we could generate in a small time. As such, we conducted 4 semi-structured interviews with a stratified sample ranging from people who only dress for the occasion, and people who decide what to wear every single day.
Fashion is inherently a form of creative expression, so we needed more qualitative data in order to gauge the way our interviewees expressed themselves. As such, we chose to do interviews so that we could directly ask them questions regarding their fashion habits.
As for the structure of these interviews, we went into them with a list of questions, but with some of them only being asked if the user actually takes part in something. For example, questions on thrifting past the basic “do you thrift?” would only be asked if the interviewee actually thrifted or was interested in it but lacked a way to access it.
From our results, we were able to cluster what our interviewees said into an affinity diagram, shown below: