BEAUTY MASK
Strategy design | Service Design | UI design | Research | Google Assitant
Overview
Beauty Mask, a Google Assistant action created under the guidance of oblo.design designers as a curriculum of Scuola Politecnica Di Design -SPD, Milan, Italy and evaluated with a representative from frog.co, provides personalized face mask recipes using natural materials.
My role in this project involved conducting user surveys and interviews to gather insights, brainstorming innovative solutions, analyzing data to identify user preferences, and designing an intuitive user interface.
The process included user research, ideation, design, prototyping, and close collaboration with developers to ensure accurate implementation.
Tools Used:
Adobe XD | Google Assistant | Miro | PhotoShop | Illustrator
Mentor:
Yulya Besplemennova (Service Design Lead, Oblo)
Roberta Tassi (CEO , Oblo)
CONTEXT
The design goal is to build an intelligent skincare service that centers around the user, offering personalized and recurring skincare solutions.
Our ambition is to create a tailored service for each user, leveraging a well-established design process and specialized skills in service development.
SECONDARY RESEARCH
MARKET ANALYSIS
- Curology: Offers personalized skincare formulas based on a skin quiz and user photos.
- Hairmod: Functions as a virtual assistant for beauty, similar to Alexa or Siri.
- Atolla Skin: Provides customized skincare formulas through a quiz-based approach.
- My BeautyMatches: Recommends beauty products tailored to the user.
- Function of Beauty: Delivers personalized hair and skincare formulas.
- Olay: Offers a range of skincare and beauty products.
- Proven: Develops personalized skincare formulas.
We mapped these seven applications across four categories: service-based applications, product-based applications, personalized solutions, and best suitable solutions.
As per initial research, there are following types of users scenarios for ideal for skin care services.
These user categories are distingushed with people more particular about personal care and people using more makeup.
Primary RESEARCH
Based on our analysis, we targeted skin-focused users for our application due to their strong interest in personal care and natural products.
USER INTERVIEWS
To refine our problem statement, we developed a research plan outlining key questions and hypotheses. User interviews were conducted to gather insights into users’ skincare routines, the products they use, and whether they seek expert advice.
The interview guide was structured into four categories, each with corresponding hypothetical answers to help us understand user needs and preferences.
Insights
As per user interviews, we found some similar concerns that user face in regular life.
REFINED PROBLEM STATEMENT
Beauty Mask is a Google Assistant action designed for skincare enthusiasts who prefer natural materials. This skill provides personalized face mask ingredient recommendations based on your skin type, local weather, and the availability of ingredients in your area.
BRAINSTORMING
We decided to use Artificial intelligence in our application.
ARTIFICAL INTELLIGENCE
AI has the potential to transform interactions in several ways:
- Eliminate Digital Interactions: AI can reduce or replace the need for digital interactions.
- Eliminate Human Interactions: AI can replace human involvement in certain processes.
- Eliminate the Service Itself: AI has the capability to make some services obsolete.
- Augment a Service: AI can enhance and improve existing services.
To explore these opportunities, we researched the application of artificial intelligence and utilized the AI card deck from AI Meet Design (http://aimeets.design/) to understand how AI can be leveraged effectively.
GOOGLE ASSISTANT ACTION
Initially, we considered creating a new application but opted for a Google Assistant action due to the following advantages:
- No need for users to download a new app.
- Seamless integration with various Google products.
- Compatibility with all devices that support Google Assistant.
SCOPE DOCUMENT
INTRODUCTION
Beauty Mask is the only personal assistant action that gives you personalized facemask ingredents for skin focused people.
The app will recognise the weather as per your current location and the easily available available ingredients in that location.
According to availability assistant will provide best possible solution for DIY natural face mask for that particular week.
SYSTEM DESCRIPTION
The action will save all the information specific to user skin care routine and the location of the user to provide solutions with deep personalisation feature of Artificial intelligence.
PRODUCT AND TECHNICAL REQUIREMENT
The action is dependent on google assistant which should have permission to access your location and voice recognition. The action will also required the permission to send notification to users according to the set reminder based on google calender.
Design Strategy
MIND MAPPING:
To define the features we mind mapped all the possibilities with AI and google assistant to include in application.
GOALS
Persona
We developed a user persona to represent our refined target audience of skin-focused users. This persona provided a clear understanding of user behaviors and needs, helping us define the solution and necessary features from a user-centered perspective.
CUSTOMER JOURNEY MAP
We created a user’s emotional journey map to identify user frustrations and uncover opportunities for enhancement within the application. This mapping helped us understand the emotional highs and lows of the user experience, guiding us in addressing pain points and improving overall satisfaction.
PAINPOINTS
- Finding an advisor that work without spending much money and time
- Remembering to do the mask
- Difficult to find natural materials and proper method to make the solution
OPPORTUNITIES
- Give a user a personalised suggestion based on its needs and location
- Notify weather change and skin care routine accordingly
- Reminder for weekly face mask application.
USER JOURNEY FLOW
We developed an ideal user flow journey map for skin-focused users utilizing the Beauty Mask Google Assistant action. This map outlines the optimal path users take from initiating the action to receiving personalized face mask recommendations, ensuring a smooth and effective experience.
UI DESIGN
We continuously iterated on our design based on feedback to ensure it met our design goals and effectively addressed user needs.
Conclusion
In conclusion, the Beauty Mask Google Assistant action successfully addresses the needs of skin-focused users by providing personalized face mask recommendations using natural ingredients. Through a detailed process of user research, persona creation, emotional journey mapping, and iterative design, we tailored the application to offer highly relevant and effective skincare solutions.
By leveraging AI and integrating with Google Assistant, Beauty Mask eliminates the need for additional app downloads, ensures compatibility across devices, and enhances user convenience.
This project was presented to company representatives seeking innovative ideas for their skincare-focused project. Overall, Beauty Mask stands out as a unique tool in the skincare domain, offering personalized and accessible solutions to enhance users’ skincare routines.