Care Analysis App

Care Analysis Mobile is a project aimed at migrating the complex functionalities of the existing offline ipad version-ASoft Care, to an online platform. This transition opens up possibilities for various user experiences across different scenarios, creating a complete and seamless user journey. The mobile version offers online multi-dimensional skin analysis features, providing users with a clear understanding of their skin condition. Based on the analysis, users receive personalized product recommendations to meet their specific skincare needs.

Industry

Cosmetics | Beauty

Client

Sephora

Service

UXUI Design

Year

Feb -Jul 2024

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🤔️Why we do mobile?

In the scenario of users' self-help use of Sephora App, the function of skin testing is integrated within the App to improve the stickiness of Sephora users and increase the conversion rate of commodities through the product recommendation of skin testing, so as to form a complete closed loop of online user consumption experience.

🤔️What is CARE?

The Sephora app's built-in Care analysis provides multi-dimensional skin measurement functions and skin texture analysis, and integrates a product recommendation function that recommends appropriate products to users based on the analysis results to meet their specific skincare needs

Product Positioning

From solving problems, to creating value

Beauty Retail

Content platform

Profile Setup

Skincare

Skincare Manager

monofunctional orientation

BeautyEvaluation

YouLookBeautiful

pan-retail oriented

professionalism

accessibility

Beauty Retail

Content platform

Profile Setup

Skincare

Skincare Manager

Competitors Analysis

The Sephora app's built-in Care analysis provides multi-dimensional skin measurement functions and skin texture analysis, and integrates a product recommendation function that recommends appropriate products to users based on the analysis results to meet their specific skincare needs

User Analysis

Taget User:
1. The original target audience of the beauty industry
2. SEPHORA's own company maintains a customer base

Dann

@DannPetty

"I want to compare my current skin condition with my previous results, but there’s no way to do that easily."

Dillon

@DannPetty

"It would be nice to be able to view the report on my phone at any time.

Selin

@DannPetty

"I had a skin test at Sephora store last time, and I want to check my last test report, but I don't know where to get it."

Ehens

@DannPetty

"I recently had a skin problem and would like to have a skin test, but there is no Sephora offline experience store in my city."

Denny

@DannPetty

"It's frustrating that I have to visit the store every time for a skin test instead of doing it from home."

Myah

@DannPetty

"I wish I could get personalized product recommendations based on my skin analysis results.

Berry

@DannPetty

"Sometimes, the recommendations I get don't seem to fit my actual skin condition."

Lori

@DannPetty

"I can't find products that correspond to my skin problems fast enough."

Tim

@DannPetty

"It’s overwhelming to browse through so many products without knowing which ones are right for me."

Pain Points

  • Desire for customized product proposals linked to results of skin assessments.

  • Absence of instruments for juxtaposing old and new skin analysis findings.

  • Challenges in remembering product suggestions following a skin examination.

  • The vast range of products and the struggle in finding apt ones induce confusion.

  • Trouble in promptly spotting products compatible with specific skin issues.

  • Discomfort obliging to absence of uncomplicated approach to skin assessments reports on portable devices.

  • Scarcity of a unified spot to refer back skin examination records.

  • Restricted availability to Sephora's physical services, particularly in regions deprived of shops.

Prototyping

Home Page

Qeustionnaire before testing.

History records

Card Entry design

IPAD/Mobile Multi-End Adaptation Design Principles

Skin Testing

Report Page Redesign

Optimize the product recommendation process

Product recommendation process

Optimize the product recommendation process to form a closed loop experience

© 2024 — by Zihan Zhang

© 2024 — by Zihan Zhang