This project was based on a prompt to create a mobile application, using image recognition to capture and purchase clothing. I designed all screens and conducted all research for this project
Seeing someone wearing something on the street and not beingable to find it can be incredibly frustrating. Even if one does find it, it can be expensive and unattainable for some budgets. How can we quickly and easily allow shoppers to access and purchase these desired pieces at prices they can feel good about.
Quick user interviews were used to understand information needed by users before making a purchase, potential road blocks, and pain points when shopping for clothes and/or accessories.
No Regrets
Users are more willing to make spontaneous purchases when there are no repercussions (ex. Free shipping, free returns)
Preference for Reputable Sources
Users primarily want to know price, brand, and where they can purchase the product.
One Size Does Not Fit All
People come in all different shapes and sizes and are concerned if items will work for them
Save for Later
Users are not always financially able to make a spontaneous purchase.
I created personas to represent the different users that would be using the site. I developed the personas to have a wide range of expectations and skill sets to ensure that the site would work efficiently and effectively for a wide range of users.
I created a compiled problem statement to summarize the main goals and frustrations when users shop online.
Based on the user research, I sketched workflows and wireframes to create a basic understanding of the types of screens I might need and the information that the user would expect.
I sketched various screens to further work out ideas, but the appropriate approach and flow were still unclear. I needed to go back to my users to validate some of the designs.
Findings
Users found opening the app to a camera was too abrupt.
Users wanted the ability to buy multiple items.
They enjoyed getting relevant sales notifications and seeing what others had purchased.
Users didn’t want to add personal body type information until they had used the app a few times.
My final deliverable was wireframes created in sketch. I incoporated four main elements: Exploring popular or trending items, image recognition to find exact and similar products, bookmark to save items for later, and price drop alerts.
Upon entering the app, the user can see popular fashion items as well as access the camera button to take a picture of the item of their choosing. The user can then approve or retake the photo and is then taken to the search results page. The user can purchase the exact item or see similar items at different price points.
After selecting an item, the user can see potential fit issues and quickly see cost including tax and shipping costs. The user can also bookmark or save an item for later and be notified when the item goes on sale.
