Vicky Fan
Personalizing Skincare Experience for Estée Lauder at NYC
Developed in-the-moment personalized shopping experiences presented by Estée Lauder. Achieved a 90% satisfaction rate.
Product Features
Logging daily routine
Taking selfie for A.I. skin analysis
In-app product recommendations and purchase
The Challenge
Problem Statement
Estée Lauder asked us to develop in-the-moment personalized shopping experiences for e-commerce customers using data.
Team Approach
A multidisciplinary team of 4 collaborated to conduct qualitative user research and usability tests.
Goal
Create a solution that enhances the online shopping experience while leveraging customer data effectively.
User Research Insights
Research Methodology
Conducted 10 semi-structured interviews with skincare product purchasers to identify key concerns.
Effectiveness Concerns
Customers were uncertain whether their skin issues stemmed from products or lifestyle factors.
Authenticity Issues
Without trying products on their skin for a period of time, customers questioned product effectiveness.
Users major concerns
User Persona: Jenny
Post user interviews, I crafted the persona Jenny to resonate with our target audience.
About Jenny
28-year-old woman who prioritizes skin health
Experiences frequent breakouts and wants to remove acne marks
Seeks effective skincare solutions but struggles with product selection
Represents our target demographic for the Dayly app
Competitive Analysis

Market Gap
Identified opportunity to leverage image recognition technology

Technology Edge
Competitors lacked personalized in-the-moment experiences

User Needs
Customers wanted real-time skin analysis and recommendations

Business Opportunity
Potential to increase engagement and sales through personalization
Product Positioning

Brand Enhancement
Boost brand image long-term
Business Growth
Increase engagement and sales
Holistic Skincare App
Tailored recommendations based on skin health, habits, and purchase history
Iterative Design Process
1
Paper Prototypes
Initial concept sketches to establish core functionality and user flow
2
Mid-fidelity Wireframes
Refined interface elements based on first round of user testing feedback
3
High-fidelity Prototypes
Polished design with complete visual identity and interaction patterns
4
User Testing
Conducted 3 rounds of testing while iterating through each prototype stage
Project Outcomes
90%
Satsifaction Rate
Achieved satisfaction rate from Estée Lauder stakeholders
A.I.
Powered Analysis
Advanced algorithm for skin condition assessment
2+
Presentations
Pitched to senior Estée Lauder stakeholders and startup CEOs
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