MIT Class Project
  • Laura Facussé
  • Meghan Maupin
  • Yoly Yin

Re-launched as Atolla Skin Lab

Data-Driven Personalized Beauty Solution

PROBLEM STATEMENT People don´t know how to choose products that work for their changing skin. No easy way exists to help find skin care products that are best suited for your skin. Product selection is overwhelming for customers and brick and mortar stores don´t have personalized testing services to help customers choose product for skin hydration. Online stores offer surveys to guide customer choices, but the experience is impersonal, does not educate the customer and has no physical testing of the skin and formulas.

Discover

The Future of Skincare

Our Concept

The beauty industry is moving towards customization and data driven solutions with algorithms to create personalized beauty solutions for hair, skin and inside-out beauty nutrition.  Spring is a data-driven beauty space that helps people choose products that work for their changing skin and educates them on why certain ingredients work better than others. It is a brick and mortar store where customers can have their skin diagnosed, be educated on ingredients and test formulas recommended for their skin.  Customers are able to get a natural personalized skin care regimen with a  product specialist.

Stage 1

Diagnose Skin

Creating the

Customer Experience

We tested the personalization of the product and a new customer experience at our pop up shop and created a brick and mortar layout best suited for our customer´s journey and experience.  Future plans included a mobile app to help customers keep track of their skin health, reorder & connect with the Spring community.

Stage 2

Educate & Recommend

Trials
+ 75 Users Tested
Metrics
  • Skin Hydration Level
  • Allergens
  • Preferred Slip & Feel Texture
Product Format
  • 1fl oz Face Oil
  • 100% Natural
  • Oils included Kukui, Broccoli Seed, Daikon,  Camellia, Baobab, Pumpkin

Developing Our Process

Test skin type by using a moisture pen on nose, cheeks, and forehead. Determine skin “type” by gathering and calculating percentage inputs. Ask for allergenic information. Record data on skin analysis card and determine category: Skin Type I: 0-20%, Skin Type II: 20-30%, Skin Type III: 30%+ Recommend two base formulations and test them on the consumer´s cheek areas. Learn about the consumer´s preferences and define a formula.  Educate consumer on oil recommendations. Allow for individual oil testing and exploration. Redefine formulation, if needed. Create personalized blend.

Stage 3

Test & Formulate

Designing

for Results

Users were allowed to test individual oils and formulate oils that had a preferred texture at recommended levels for their skin needs.  Users were also able to scent their formulas if desired. We were able to test users during winter and springtime, and we learned that as the skin adapts to the seasons, the skin care regimen must change. Therefore, we were able to create different oil formulations for the different seasons, skin “type”, and texture preferences.

Consumers enjoyed being able to decide what goes into their products, to learn more about skin care formulation and natural ingredients, and having their skin tested with a “medical” device.

40,320

Combinations

75

Users Tested

8

Ingredients