SKINCAIR

Designing AI Powered Personalized Skincare Routines

Overview

Introducing, SKINCAIR, an innovative cosmetic app that implements 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.

Role

UI UX Design, User Research, Wireframes, User Testings, Mockups, Prototypes

SOLUTION OVERVIEW

A Quick Glance at the Final Designs

Easily Understand Skin Condition

Users can easily find out their skin type, condition or concerns with a scan anytime, anywhere.

Get Personalized Suggestions

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

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.

BACKGROUND

Cosmetic Market and Customer Behavior

Revenue of global skincare market from 2022 to 2028

Most used channels for beauty purchases inspiration

RESEARCH

Challenges In Product Searching Process

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

Users highly value customization in skincare routines

Most users often spend more than 30 minutes researching products

Key concerns: product description and skin compatibility

Pain Points

  • Users are spending an excessive amount of time researching skincare products

  • Users have challenges knowing which product best suit for their own skincare routine

Generating Solutions With 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 health, looking to simplify her routine and identify suitable products.

Goals

  • Understand and improve her overall skin health

  • Efficiently find skincare products tailored to her skin

Pain Points

  • Spends an extensive time browsing diverse array of products

  • Has difficulty identifying products best suit for her skincare routine

HMW

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

User Journey Map - Persona Taylor

Taylor is looking for a facial cream that can 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 Analysis

Testing Insight

❌ Lack of Customization

Users found it hard to provide more personal answers during testings

Improvement

✅ Introducing Chatbot

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

2. View 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

SOLUTIONS

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. Get Customized Recommendation with AI Analysis

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

3. Compare Products Side by Side

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

CONCLUSION

Takeaways

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.

Resources

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