Full-stack designer— discovery, user research, design, animation, testing
a project manager
a data scientist
a data engineer
Fall 2019, 12 Weeks
Jenny is a 28 years old young woman who cares about her skin’s health. She has breakouts frequently and acne marks she has wanted to remove. She has been trying different skincare products but no matter how many products she has tried, she still has large pores, acne, and breakouts. She feels disappointed by the effectiveness of the skincare products.
Like many skincare products’ customers, Jenny have the habits of monitoring their skin health. Jenny does it mostly by merely looking to the glass by herself. However, after uploading a selfie to Dayly, Jenny understands her skin's conditions further as Dayly uses artificial intelligence helping Jenny to analyze her skin issues such as spots, pores, texture, and fine lines objectively.
Jenny focuses on using products to improve their skin’s health but they neglect the fact that personal lifestyles such as eating habits, sleep time, and hydration level could contribute to many skin issues. Dayly tracks users’ skincare products, lifestyle, and mood to see how they affect users’ skin.
Leveraging the existing data and infrastructure from the Estee Lauder, we created a holistic skincare app that could help users to get tailored and personal recommendations on skin care products based on their skin health and daily habit. It can minimize the risk of buying many different products which have no effects in improving skin health. This app is expected to increase users’ engaging rate, sales and boost brand images in the long run.
Jenny can compare her skin condition by looking at the daily analyzes.
Jenny can take a selfie and get an accurate analysis of her skin from Dayly.
Jenny can log her habits every day in a minute and get an analysis of it.
Jenny can get an updated product recommendation to improve her skin condition and buy the product in the app without going back and forth between apps.