UX Design Studio 1: Innovation
Professor Sung Park
09.14.20 - 11.19.20
Visual Design Lead
Sift is an app and desktop plug-in that assists with the user’s hunt of finding clothing by universally filtering, using 3-Dimensional interactive models, emphasizing transparency, and saving products to organized hauls.
Sift aims to create a platform that increases the enjoyment and the efficiency of the fashion hunt while still producing the joyful feeling of finding the perfect product. Through the curation of the perfect amount of products, Sift alleviates the exhaustion caused from browsing through excess products, all while keeping the shopping experience personal and inclusive for the differences between individuals.
Sift offers a unique online shopping experience through several interactions and features. With 3-Dimensional interactions, Sift mimics the mental model consumers have with the physical. Personalization is a big part of the success of Sift. With the personalized size assistant’s help Sift will find you the perfect item. Along with the sizing assistant Sift has fully customizable categories to create your ideal product comparison. Sift features a custom product compassion algorithm that filters the perfect amount for ease of searching, which can then be used to help save items to organize in hauls to refer back to later.
Habitual shoppers across online platforms strive to find the perfect fashion piece. These shoppers are committed to hunting down a purchase they are proud of and confident in. Yet, the continual scrolling through endless products and comparison across brands becomes exhausting, ultimately decimating the thrill of the shopping hunt.
Mimicking in-person clothing racks, users can swipe through an interactive 3-D view of products to accurately assess the form and quality of the product. Within the specific product pages, there are curated reviews, material comparisons and sizing assistance for a holistic understanding of the item before saving.
Mimicking the satisfaction of walking out of a store with a bag, Sift offers saved haul bags. Using 3-Dimensional interactions users are able to easily organize and prioritize items for later to compare against other items. This allows users to streamline online purchasing much like in-store shopping.
Using Maxon Cinema 4D I created a 3-dimensional clothing rack. This interaction allows the user to interact with Sift in a way that mimics the in-person shopping experience. The rack is filled with the items that make up your filtered search. By using a 3-dimensional interaction Sift is able to tap into the hedonic needs when shopping online.
To better personalize each individual user, Sift features a comparison algorithm for both product filtering and brand filtering. Each attribute is assigned a numerical value. Values are then compiled to create a string individual to the brand and product. Our AI technology compares and ranks numeric values. Results are displayed within product specific pages and brand transparency characteristics.
The Sift size assistant is introduced in the initial on boarding. Users follow the measuring prompts on each screen and input their corresponding measurements. The size assistant is not only a way to mimic in person shopping interactions with a store associate, but also allow Sift to better personalize your sifted items based on your fit preferences. All measurements can be changed in the profile tab of the app.
The idea for the Sift interface was to design something that aligned with our 3-dimensional theme of mimicking real-world counterparts of in-store shopping in both how they appear and how the user interacts with them. To convey this feeling for the user we created a Skeuomorphism / Neomorphism interface. Skeuomorphism makes the interface objects familiar to users mental models by using concepts they recognize.
The aim for Sift’s branding is to keep it clean and fun. Typeface Open Sans and poppins both reflect the idea of Sift by providing a consistent, legible, and friendly typographic voice. The colors remain accessible and friendly, promoting enjoyment and the efficiency of the fashion hunt.
To explore the full research process view the Sift process book!Explore More