SKINCAIR

Designing AI Powered Skincare Routines

OVERVIEW

What Is the Project About

SKINCAIR is an innovative cosmetic app concept, implementing the potential of Artificial Intelligence (AI) to redefine how users discover beauty products. This case study explores the development and impact of the AI-driven solution, empowering users to find and experiment their preferred beauty match in a dynamic and engaging way.

SOLUTION OVERVIEW

A Quick Glance at the Final Designs

Easily Understand Skin Condition

Users can easily find out their skin types, condition or concerns with a scan.

Get Personalized Suggestions

Users can receive personalized suggestions on skincare routines and products after scanning and answering a few questions, experiencing an effortless product search.

Cosmetic Market + Customer Behavior

BACKGROUND

According to Statista, the global skincare market is expected to grow from 143.5 billion dollars in 2022 to over 186 billion by 2028. The market growth indicates the increase of skincare awareness and the amount of people needing skincare products. From the stat, a majority of people would do personal or online research, trying to find the most suitable product before purchasing.

Revenue of global skincare market from 2022 to 2028

How users find products

RESEARCH

Challenges in Product Searching

To understand user’s pain points when finding a suitable cosmetic product, I conducted surveys and interviews, analyzing the below insights.

Most users often spend more than 30 minutes researching products

Key concerns: product description and skin compatibility

Pain Points

Users spend an excessive amount of time researching skincare products
Users struggle to identify which products best fit their skincare routines.

Generating Solutions Through Personas and Journey Map

DEFINE

After defining personas and HMW question, I developed the user journey map to further ideate potential solutions.

Persona - Young Adult

Taylor, a college freshmen who is self-conscious about her skin, looking to simplify her routine and find suitable products.

Goals

Learn and improve skin health
Efficiently find skincare products tailored to her skin

Pain Points

Takes a long time browsing diverse array of products
Has difficulty identifying products best suit for her skincare routine

How Might We…

How might we help users understand and choose which skincare products are most suitable in a easier and faster way?

Journey Map - Persona Taylor

Taylor is looking for a facial cream to keep her skin moisturized without feeling too oily.

OPPORTUNITY

What if we can provide personalized suggestions to simplify product searching with AI features?

Testing Insights and Iterations

EXPLORE

1. Find Customized Routines and Products With AI

Testing Insight

❌ Lack of Customization

Users found it hard to provide more personal answers during testings

Improvement

✅ Introducing Chatbot

Changed questionnaires to chatbot where users can easily select chips or input responses to answer

2. Personalized Skincare Routine Recommendation

Testing Insight

❌ Information Overload

Users expected to see the full routine quickly

Improvement

✅ Organized Information

Hide detailed information in a new page, so users can have a quick overview first

SOLUTION

Final Designs and Key Features

1. Understand Skin Condition with AI Scanning

Since our skin condition changes with environment, habits or hormones, users can quickly understand their current skin condition with the AI face-scanning.

2. Customized Recommendation with AI

After scanning, users can answer questions or input specific personal concerns for optimal recommendations by the AI.

3. Side by Side Comparison

Besides AI, users can also explore side-by-side comparisons when searching for a preferred product in the app.

CONCLUSION

Thoughts After the Project

Throughout the project, I learned to design a user-friendly flow for an AI chatbot, integrating complex details with a clear typographic approach. I also gained insights into the differences in designing for various software systems. Overall, this project was a valuable opportunity to understand innovative AI design and stay updated with the rapidly evolving tech landscape.