MAKEUP TRY-ON APP
Pioneering a new era of online makeup shopping
COMPANY
Aura Beauty
ROLE
Research, UX/UI Designer
TIMELINE
16 weeks
TOOLS USED
Figma, Google Forms, Whimsical
Online makeup shopping can be a frustrating experience, especially for users who struggle to find products that match their skin tone or undertone. Many existing beauty apps fail to accurately represent a diverse range of skin tones, leading to poor shade matching and a sense of exclusion.
This lack of inclusivity increases return rates and discourages consumers from trusting AR technology to meet their beauty needs.
The Problem
Online makeup shopping can be a frustrating experience, especially for users who struggle to find products that match their skin tone or undertone. Many existing beauty apps fail to accurately represent a diverse range of skin tones, leading to poor shade matching and a sense of exclusion.
The Solution
I created the Aura Beauty app to deliver a more inclusive online shopping experience. By offering accurate skin tone matching and personalized recommendations, users of all complexions can feel empowered to find and purchase makeup with confidence.
What does augmented reality in the beauty space look like?
Competitive Analysis
Conducted market research to identify existing scheduling challenges and user preferences. Defined target audience segments and outlined key features based on user needs and market trends.
User Interviews & Survey
The user interviews and surveys highlighted the need for more accurate, personalized, and inclusive beauty AR experiences. Many users struggled with unrealistic product placement and found it hard to trust virtual try-ons, especially when it came to matching their skin tone. These insights were crucial in showing how improving accuracy and representation could boost user confidence and make online beauty shopping feel more personalized and trustworthy.
ONE-SIZE-FITS-ALL
"
I wish these apps considered different face shapes instead of assuming one style works for everyone.
LOW REALISM
"
I’ve had so many disappointments trying to match shades online; it really makes me hesitant to buy anything.
LIMITED SHADE RANGE
"
“I find it frustrating that most apps don’t offer options for my skin tone; it’s like I’m invisible in the beauty world.”
Key Takeaways
What do our users look like?
User persona
Guided by data and user interviews, I crafted a persona to embody the target audience’s needs, ensuring my prototype remained authentically user-centered.
How Might We enhance Beauty AR accuracy despite the limitations of VR technology?
User Flow 1: Onboarding Process With Skin Analysis
Solution 1: Detailed Onboarding Process
A detailed onboarding process improves beauty VR accuracy by collecting user-specific data, allowing for more personalized and realistic virtual try-ons.
Solution 2: VR Skin Tone Analysis
The skin tone analysis enhances beauty VR accuracy by matching users with products that suit their unique complexion, ensuring more realistic virtual try-ons.
How Might We create a seamless, personalized virtual try-on experience that boosts confidence?
User Flow 2: Trying On A Makeup Product
A significant challenge was designing the filter component for the Beauty AR feature. The limited space required careful decisions on what information to display and how to optimize the user flow. I went through several iterations during mid-fidelity wireframing.
Usabiilty Testing
The user interviews and surveys highlighted the need for more accurate, personalized, and inclusive beauty AR experiences. Many users struggled with unrealistic product placement and found it hard to trust virtual try-ons, especially when it came to matching their skin tone. These insights were crucial in showing how improving accuracy and representation could boost user confidence and make online beauty shopping feel more personalized and trustworthy.
Testing Results
