What is SkinLab
SKINLab is an all-in-one AI-powered solution that offers dermatologist-approved skin assessments and personalized skincare recommendations.
Design Goal
To help users feel more confident in their purchasing decisions.
To advocate for skin health.
To reduce product return rate.
Project Type
Interaction Design
Design System
Healthcare B2C
My Role
UX Research
UXUI Design
Time Length
May 2022 - Dec 2022
Amid the saturated beauty e-commerce landscape and rising product return rates, how might we provide trustworthy guidance to alleviate decision fatigue and help customers navigate uncertainty about their needs?
FEATURE 1
FEATURE 1
AI-Driven
Skin Profiling
AI-Driven
Skin Profiling
Follow the instructions to allow the phone camera to capture facial views from multiple angles, utilizing multi-layer perceptron technology.
FEATURE 2
FEATURE 2
SKINLab
Report
SKINLab
Report
Swipe to explore personalized analysis segments, including skin type, ingredient recommendations, hydration levels, firmness, and discoloration.
FEATURE 3
FEATURE 3
Personalized
Evaluation
Personalized
Evaluation
After the skin assessment, all products will be evaluated on a scale to indicate how well they meet individual skin needs.
FEATURE 4
FEATURE 4
Product
Comparison
Product
Comparison
Use the personalized evaluation scale to discover the product that best suits your skin.
Discover & Define
Challenges in Today's Market
The Beauty industry in 2025 is still a growing powerhouse with +6.2% dollar growth across online channels. Yet, many people remain dissatisfied with their purchases. Why is that?
Interviews
To explore the reasons behind consumer dissatisfaction, 47 beauty e-commerce users (38 women and 9 men, aged 20 to 43 with diverse skin conditions) were invited to discuss their shopping pain points and habits.
"What are your in-store & on-line shopping experiences?"
"What are your in-store & on-line shopping experiences?"
"It's frustrating to spend time researching ingredients and carefully choosing a product, only to discover it doesn’t work for you. You feel like you did everything right, but now you’re stuck returning it all over again."
"I have 100 products in my wishlist and can’t decide which one to buy. Everyone recommends ‘great products,’ but are they actually right for me?"
Affinity Wall
The affinity wall consolidated information from the interviews and revealed several recurring themes (on the left). These themes helped clarify the main concerns of users (on the right).
Personas
Through an in-depth analysis of consumer needs, two primary target customer groups emerged as requiring the most focus. These groups formed the foundation upon which the product MVPs would be developed.
A Peek Into The Current Products
The personas revealed that the product detail page was the primary source of frustration and confusion.
To address this, a competitor analysis of the three e-commerce platforms that were frequently used by the participants would provide valuable insights into gaps and areas needing improvement.
How might we alleviate decision fatigue?
How might we navigate uncertainty about customer needs?
Ideation
How MVPs were selected
The initial rough sketches of design opportunities helped refine and prioritize the MVP features.
Wireframes
Final wireflows were selected based on A/B testing that focused on how user psychology influences interface design within the main features.
Design Guidelines
Reflections
Results & Feedback
For key feature usability testing, I revisited 47 interviewees and received responses from 45 participants.
During the tests, users rated the app on a scale from 1 to 5, with ratings of 4.5 or higher indicating satisfaction. The goal of this testing was to evaluate whether SKINLab effectively addresses the major pain points identified in competing products.
12 out of 47 participants expressed satisfaction.
Test result based on users' choices of their frequently used shopping app.
40 out of 45 participants expressed satisfaction.
Test result based on Skinlab.
Next Steps
The next step is to integrate the skin management and product comparison feature into existing e-commerce platforms as an add-on tool. This integration would involve embedding the feature as an optional tool on product pages or in the shopping cart, enabling users to compare products based on their unique skin needs. Additionally, leveraging APIs for data syncing and personalized recommendations will ensure a smooth, scalable experience.
What is SkinLab
SKINLab is an all-in-one AI-powered solution that offers dermatologist-approved skin assessments and personalized skincare recommendations.
Design Goal
To help users feel more confident in their purchasing decisions.
To advocate for skin health.
To reduce product return rate.
Project Type
Interaction Design
Design System
Healthcare B2C
My Role
UX Research
UXUI Design
Time Length
May 2022 - Dec 2022
Amid the saturated beauty e-commerce landscape and rising product return rates, how might we provide trustworthy guidance to alleviate decision fatigue and help customers navigate uncertainty about their needs?
FEATURE 1
AI-Driven
Skin Profiling
Follow the instructions to allow the phone camera to capture facial views from multiple angles, utilizing multi-layer perceptron technology.
FEATURE 2
SKINLab
Report
Swipe to explore personalized analysis segments, including skin type, ingredient recommendations, hydration levels, firmness, and discoloration.
FEATURE 3
Personalized
Evaluation
After the skin assessment, all products will be evaluated on a scale to indicate how well they meet individual skin needs.
FEATURE 4
Product
Comparison
Use the personalized evaluation scale to discover the product that best suits your skin.
Discover & Define
Challenges in Today's Market
The Beauty industry in 2025 is still a growing powerhouse with +6.2% dollar growth across online channels. Yet, many people remain dissatisfied with their purchases. Why is that?
Interviews
To explore the reasons behind consumer dissatisfaction, 47 beauty e-commerce users (38 women and 9 men, aged 20 to 43 with diverse skin conditions) were invited to discuss their shopping pain points and habits.
"What are your in-store & on-line shopping experiences?"
"It's frustrating to spend time researching ingredients and carefully choosing a product, only to discover it doesn’t work for you. You feel like you did everything right, but now you’re stuck returning it all over again."
"I have 100 products in my wishlist and can’t decide which one to buy. Everyone recommends ‘great products,’ but are they actually right for me?"
Affinity Wall
The affinity wall consolidated information from the interviews and revealed several recurring themes (on the left). These themes helped clarify the main concerns of users (on the right).
Personas
Through an in-depth analysis of consumer needs, two primary target customer groups emerged as requiring the most focus. These groups formed the foundation upon which the product MVPs would be developed.
A Peek Into The Current Products
The personas revealed that the product detail page was the primary source of frustration and confusion.
To address this, a competitor analysis of the three e-commerce platforms that were frequently used by the participants would provide valuable insights into gaps and areas needing improvement.
How might we alleviate decision fatigue?
How might we navigate uncertainty about customer needs?
Ideation
How MVPs were selected
The initial rough sketches of design opportunities helped refine and prioritize the MVP features.
Wireframes
Final wireflows were selected based on A/B testing that focused on how user psychology influences interface design within the main features.
Design Guidelines
Reflections
Results & Feedback
For key feature usability testing, I revisited 47 interviewees and received responses from 45 participants.
During the tests, users rated the app on a scale from 1 to 5, with ratings of 4.5 or higher indicating satisfaction. The goal of this testing was to evaluate whether SKINLab effectively addresses the major pain points identified in competing products.
12 out of 47 participants expressed satisfaction.
Test result based on users' choices of their frequently used shopping app.
40 out of 45 participants expressed satisfaction.
Test result based on Skinlab.
Next Steps
The next step is to integrate the skin management and product comparison feature into existing e-commerce platforms as an add-on tool. This integration would involve embedding the feature as an optional tool on product pages or in the shopping cart, enabling users to compare products based on their unique skin needs. Additionally, leveraging APIs for data syncing and personalized recommendations will ensure a smooth, scalable experience.