# Hers - AI Healthcare Mobile App & UX UI Design

URL: https://rondesignlab.com/blog/work-in-progress/hers-ai-healthcare-mobile-app-and-ux-ui-design

> Hers - AI Healthcare Mobile App example uses AI detection to identify problem zones like acne or excess oil.

## Hers - AI Healthcare Mobile App & UX UI Design

## Client's Request

> We are looking for a mobile solution that applies AI to detect acne, excess oil, or dark spots, and guides users toward personalized skincare products.
>
> — Madison Howard, Co-founder at Hers

![Smart Skin Analysis UI Design](https://res.cloudinary.com/ducxztw9n/image/upload/v1767713260/IMG_1_d8bb4037dc.webp)
*Smart Skin Analysis UI Design*

## About Hers project

Hers - AI Healthcare Mobile App example uses AI detection to identify problem zones like acne or excess oil. The app suggests tailored skincare products and improves decision-making with guided recommendations.

- Industry: Healthcare, AI
- Category: Mobile App, Skincare
- Location: Chicago, Illinois, USA

![Personalized Skincare Mobile App](https://res.cloudinary.com/ducxztw9n/image/upload/v1767713260/IMG_2_03b9eba9af.webp)
*Personalized Skincare Mobile App*

## User Challenges

Users struggled to self-diagnose skincare problems and wasted time browsing irrelevant products. Checkout abandonment remained high due to unclear details. Lack of trust in product recommendations also affected retention.

## Key Pain points

### Difficulty Identifying Skin Problems

Users were unsure about what skincare issues they had, which led to poor product choices and dissatisfaction.

### Checkout Abandonment

Many users left the app at checkout because of missing delivery details and confusing price information, lowering conversions.

![Skin Health Tracking App Interface](https://res.cloudinary.com/ducxztw9n/image/upload/v1767713260/IMG_3_28a2b08e9d.webp)
*Skin Health Tracking App Interface*

## Valuable Insights

Research showed users wanted reliable guidance in skincare, not trial and error. AI-based scanning improved accuracy, while interviews revealed trust and product clarity were key to retention and conversion for Hers - AI Healthcare Mobile App project.

## Major Findings

### 47% - Unsure About Skin Problems

Users said they were not sure if they had acne, excess oil, or dark spots. AI scans helped detect issues accurately, giving users confidence in selecting treatments.

### 39% - Lack of Trust in Recommendations

Users did not trust generic skincare advice. Personalized AI-driven product suggestions improved satisfaction and strengthened loyalty.

![Skincare Progress Tracking Mobile Development](https://res.cloudinary.com/ducxztw9n/image/upload/v1767713256/IMG_4_9aec412aaa.webp)
*Skincare Progress Tracking Mobile Development*

## Our Solutions

We integrated AI to detect problem zones and recommend products. The Hers - AI Healthcare Mobile App ui / ux improvements included guided filtering, transparent pricing, and optimized checkout flow to build user confidence and reduce abandonment.

> The scan-to-product flow solved both trust and usability challenges. Our solution balanced healthcare credibility with e-commerce simplicity.
>
> — Stan D., CIO

> AI made the skincare journey feel personal and accurate.
>
> — Mari S., COO

![Dermatology App UX UI Design](https://res.cloudinary.com/ducxztw9n/image/upload/v1767713258/IMG_5_ff3ac5eac7.webp)
*Dermatology App UX UI Design*

## Project Result

The Hers - AI Healthcare Mobile App design improved accuracy of product recommendations and user trust. Engagement increased, checkout abandonment dropped, and retention improved with AI-driven personalization.

## Key Efficiency Gains

### +29% Retention Growth

Personalized product recommendations and progress tracking encouraged users to stay engaged with the app. This continuous value delivery helped build long-term trust and improved repeat usage.

![Smart Skin Care Routine Planner Solution](https://res.cloudinary.com/ducxztw9n/image/upload/v1767713260/IMG_6_e8ec5330ab.webp)
*Smart Skin Care Routine Planner Solution*

## Client's Feedback

> We are satisfied with the integration of AI scans. Our next step is multi-platform deployment for broader reach.
>
> — Madison Howard, Co-founder at Hers