The US generates around 25 billion pounds of brand new textiles a year, 85% of which end up in landfills. Households in the early 20th century used to spend 14% of their annual income on clothing, but now they spend a little over 3%, yet the quantity of clothes has increased over 500%. Because clothing is so inexpensive, people throw their clothes away and buy news ones instead of spending the time to alter or tailor.


Swap is a match based clothing swap app where users can “like” their friends’ clothing and when their “like” has been returned, they can initiate a swap. Swap doesn’t overwhelm thrift stores or landfills, but remains up to date with fashion trends.

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Once logged in through Facebook, the user sets up their profile to personalize their settings.
These settings are used for filtration purposes, showing the user only items that closely match their style and sizing.


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Once the user has filled out their preferences, the swap homescreen appears, showcasing the newest styles available. You have the choice to either “like” or “next” the item of clothing or accessorize.
If the user clicks on the item they are taken to a detail page, which informs the user of the tags (the color and the material), the categories (the type of shirt be it short sleeved, long sleeved etc.) and the item’s current condition.
If the user “likes” the item and one of their friends has liked one of their items, they can initiate a match where they can set up a time and place to swap their clothing. This could be in the form of a meetup or it could be sent in the mail.












I initially constructed a survey to gather information on my target audience and how they would use swap. After getting specific information as to the demographics of my users, I then started asking how the survey respondents spent their money and how they disposed of their old clothing. Finding out how much money those spent on clothes a month dictated whether or not those would be interested in swapping with their friends.

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I then had to figure out how most people were disposing of their clothing and if there would be any general interest in swapping. I found that most donated, not knowing that in several cities, the majority of clothes go directly to landfills from store overflow. From there, I began wireframing, while intermittently user testing.