ThriftScout
What:
ThriftScout is a second-hand shopping app that learns your taste and begins curating second-hand clothing to show you more relevant products. With features like a swipe-quiz, (ala dating apps) and advanced filtering the software learns the nuances of your taste.
How:
I was the principle designer and designed a user study, conducted a dozen user interviews via phone, designed wireframes, low and high fidelity prototypes and iterated the design after each round of user testing.
Who:
I interviewed 8 women from San Francisco, Denver & France between the ages of 27-40 who love to thrift, are economically and environmentally conscious and but felt frustrated by how much digging was required to thrift online.
Link to High Fidelity Prototype
Wireframing
After interviewing 8 potential users on their online thrifting pain points I began the process of sketching paper wireframes.
Lo-Fidelity Prototype
The low fidelity website was designed with a bit too many features that resembled a social media style site similar to some competitors.
Lo-Fidelity Prototype #2
From the low fidelity prototype I learned that people wanted both curation and discovery in their shopping experience. They were excited by both so in later iterations I considered how to integrate both.
Hi-Fidelity Mobile
In the high-fidelity app prototype I made the prefered modes of shopping evident either “Train My Scout” for curation or other traditional shopping routes in various spots.
Information Architecture
For the website layout, I combined two types to accomodate both modes, one with a style quiz as an entry point and the other a traditional shopping database
High Fidelity Website
The high-fidelity website allowed people to browse or to jump to their styling quiz without preliminary steps. Users enjoyed receiving curated recommendations via the “closet” feature and hoped this product would be built!
Designing Navigation
Connecting screens and testing for usability for the final iteration!