Amazon: 1-Blink
Role: UI & UX Design, Brand Design
Tool: Figma, Illustrator
Group member: Yuanqi Zhang, Liam Deng
Instructor: Justin Lee, Thomas Loizeau
Duration: 2024 Spring Semester
© Yuanqi Zhang
Our Brief
Amazon offered a wide range
of beauty, personal care, and fashion products, but lack an effective shopping assistant to help users find the best fit product based on their personal preferences and life styles.
Target User
Young women around 18~25 years old, interested in beauty and personal care product, and makeup novices.
Pain Points
Persona: Amy, 25 years old female designer, makeup novice, wants to build a makeup set to attend a party.
1.
Don’t know what make up style fits her best.
2.
Don’t know which platform can help her select the product she need.
3.
Have very limited time to research for products.
4.
Uncertain about the product quality and
the overall price.
Problems
How can we use personalize shopping assistant to help improve user’s experience?
How can we help user choose the product they want more efficiently?
How can we build trust in users?
How to meet diverse user needs based on different skin condition, color, and preference?
How can we improve the accuracy of personalize recommendation?
Goals
Improve user’s shopping experience.
Improve user’s shopping experience.
Offer the services user can have the same experience as offline stores.
Make user trust in the quality and effect of the product we recommend.
Provide accurate personalize recommendation for each user.
solutions
One-Blink, One-Stop
One-Blink offers a comprehensive solution that scans and analyzes your skin condition to recommend the most suitable and effective products tailored to your needs.
Build
Personalized Set
User can build a set of beauty or personal care product in one feature page. The page will offer user the most recommended product for each makeup/personal care step.
Digital Skin Test
User will take a skin scan test before building their set. This will show the skin condition
and facial features of the user, so the app
can offer a more accurate and personalize recommendation.
VR Mack up
Try-On
The feature page will have VR function to give user a preview of how their makeup will look like after using the product.
YouTuber Collaboration
Our most recommended products will have the image of famous beauty YouTubers besides it, and the YouTubers will give a short recommend quote about the product.
Share With
Your Friends
User can share the products they like and set they built to their friend. Friend can see the comments user left for the product on the detail page through the shared link.
Design Research
Feature research: Is there any app carrying the features we designed? Are those features achievable?
Sephora: Makeup VR try-on
You Look Good Today: Front camera skin test
You Look Good Today: Product recommendation
How to apply Amazon’s original design system? Where can we make a difference?
Narrow margin
Block system
Opening image
Centered logo and cancel stay consistent
Different navigation bar or no nav bar
Moodboard
style guide
user flow
User Flow 1: A first-time user chooses a recommend style set and purchases another eye shadow product in the beauty section.
User takes the skin test, see their skin condition report, and enters the VR try-on page. User can adjust their preference in
filter, and App will automatically adjust the recommended makeup set.
User can see the detail information of each product included in the recommended set, and adjust the products in the set.
User can also view the products individually in catalog, and try on the featured products. The chosen product will also be added to the shopping cart with the selected set.
After select all the items they want, user can check out the shopping cart immediately. This shopping cart is individual from Amazon’s original shopping cart, and won’t interfere each other.
User Flow 2: User chooses a recommended skin care set and purchase another toner product in the personal care section.
User can find 1-Blink feature through
Amazon’s homepage - other portal, and see recommended skincare sets based on their skin test result on the homepage.
User can edit set’s individual product, see the detail information, and view the individual recommended products in catalog.
marketing page
We created both desktop and mobile version of the marketing page to showcase our responsive design.
We introduced our main features and designed some animation on the webpage.
future thinking
How can 1-Blink changed overall shopping experience, Sharing feature and personal profile.
1.
If we have more time, we will refine our sharing feature, which includes sharing the shopping cart list to friends through Instagram or iMessage, and opening friends’ shared link in social media.
2.
We will round up our profile page if we have more time, which includes skin test history, maybe liked product, etc.
