overhaul the app

Healthcare mobile app redesign & feature integration

ROLE

Product designer

Product designer

Product designer

EXPERTISE

UX/UI design, app design

UX/UI design, app design

UX/UI design, app design

YEAR

2023 - 2024 (parallel to other projects)

2023 - 2024 (parallel to other projects)

2023 - 2024 (parallel to other projects)

Project description

As a Product Designer at Cerascreen I led the redesign and feature integration of their healthcare app. The goal was to improve the app’s general usability, increase the engagement and product adoption, and provide opportunities for upselling new products and services throughout the app. The challenge was to create a seamless experience by integrating new personalised features to an existing app.

As a Product Designer for Cerascreen,

I led the redesign and feature integration of their healthcare mobile app. The primary goal was to improve the app’s usability, align it with the updated style guide, and introduce new features, such as an AI-powered symptom consultant and wearable device integration, to enhance user engagement and monetization.

The challenge was to create a seamless experience while integrating complex backend systems for personalized health recommendations based on user data.

Process

The process for this project was user-focused and iterative, combining research, ideation, design, test & iteration with close collaboration between design and development teams. From gathering insights to refining the user experience each phase was tailored to the app’s users while ensuring the complex features like AI powered recommendations and wearable data syncing would work smoothly.

The process for this project was centered around a user-focused and iterative design approach, combining thorough research, wireframing,

and prototyping with close collaboration between design and development teams. From gathering insights to refining the user experience,

each phase was tailored to meet the needs of the app's users while ensuring smooth integration of advanced features like AI-powered recommendations and wearable data syncing.

Research & analysis

  • Competitor analysis

  • Customer surveys

  • Customer support feedback

  • Create the ideas list

Design the ideas

  • Create the user-flows

  • Design the screens, mockups, and visual assets

Feedback, test & iteration

  • Collect feedback and aligned the designs to the requirements

  • Test internally and iterate

Research & analysis

To better understand the users' needs and points of improvement, I conducted a competitor analysis of 5 big health platforms and surveyed 50 active users of our app. I also reviewed customer support tickets to identify frequent issues.

Key findings:

  • Navigation & access to information – 58% of new users had difficulty locating their latest lab results, indicating we should make hierarchy more apparent and navigation more intuitive.

  • Feature request – 25% of the users expressed a desire for integration with their wearable devices (i.e., fitness trackers) to have their health data in one place.

  • Upsell opportunities – Competitor analysis and user research pointed to strong potential for targeted product recommendations within symptom checks and result reports.

  • Consistency gaps – The app's UI was discovered to be out of sync with the brand's style guide, creating visual disparities between platforms.

  • User engagement – Competitive research and benchmarks showed that AI-powered, personalized recommendations could significantly enhance user engagement and retention.

These insights directly informed the solutions in the next phase, from the dashboard and result report redesign to the introduction of wearable integration and AI-driven functionality.

App monetization ideas


  1. Symptom-based data on the dashboard.

  2. AI symptom consultant with chat functionality.

  3. Symptom-based product recommendations.

  4. Wearable data integration.

  5. Subscription-based monetization.

  6. Redesign the results tab.

App monetization ideas

  1. Symptom-based data on the dashboard.

  2. AI symptom consultant with chat functionality.

  3. Symptom-based product recommendations.

  4. Wearable data integration.

  5. Subscription-based monetization.

  6. Redesign the results tab.

App monetization ideas


  1. Symptom-based data on the dashboard.

  2. AI symptom consultant with chat functionality.

  3. Symptom-based product recommendations.

  4. Wearable data integration.

  5. Subscription-based monetization.

  6. Redesign the results tab.

Hypotheses and feature ideas

At this phase, we focused on defining the scope of the solutions, determining essential functionalities, and defining potential technical and compliance constraints. This involved establishing specifications for handling data, understanding integration limitation capabilities, and ensuring each idea was feasible, beneficial to the users, and aligned with project goals.

New dashboard

The health dashboard should have AI powered personalized insights, giving users recommendations based on their reported symptoms. This gives a more guided and individualized health experience.

New symptom check feature

The symptom check feature can guide the users through common health issues, helping them identify the root cause of their symptoms. By offering personalized product suggestions and recommendations, the feature increases user engagement and delivers more targeted health solutions.

Enhanced UI consistency

By aligning the mobile app’s UI with the brand’s style guide and website design, the overall experience is more cohesive across platforms. The refined UI not only improves visual appeal but also reduces inconsistencies and bugs.

Result report tab

The result report tab must be improved to show clearer and more detailed status updates for each test. Tests of the same type are now grouped together for better organization, especially when multiple tests have been done.

New AI-powered symptom consultant

The AI-powered symptom consultant will analyze the user-reported symptoms, wearable health data, and the existing result report data to provide personalized recommendations. This feature enables users to make informed health decisions based on real-time AI insights.

Wearable integration and subscription plans

Wearable device integration, such as fitness trackers, allows the app to pull in health metrics like heart rate, sleep and physical activity. This data can be used to give health advice, to improve symptom tracking and personal care recommendations.

Redesigned the user flows

Redesigning the current user-flows can enhance the key app functionalities, such as test activation and result viewing, by simplifying the journey. It reduces friction, making the app more intuitive and user-friendly.

New dashboard

The health dashboard has been enhanced with AI-powered personalized insights, providing tailored recommendations based on users’ reported symptoms. This upgrades offer a more guided and individualized health experience.

New symptom check feature

The symptom check feature guides users through common health issues, helping them identify the root cause of their symptoms. By offering personalized product suggestions and recommendations, the feature increases user engagement and delivers more targeted health solutions.

Enhanced UI consistency

By aligning the mobile app’s UI with the brand’s style guide and website design, the overall experience is more cohesive across platforms. The refined UI not only improves visual appeal but also reduces inconsistencies and bugs.

Result report tab

The result report tab has been improved to offer clearer, more comprehensive status updates on each test’s progress. Tests of the same type are now grouped together for better organization, especially when multiple tests have been performed.

New AI-powered symptom consultant

The AI-powered symptom consultant analyzes user-reported symptoms, wearable health data, and the existing result report data to provide personalized recommendations. This feature enables users to make informed health decisions based on real-time AI insights.

Data-driven personalization

The app uses user input, wearable data, and health patterns to offer personalized experiences. Tailored advice, reminders, and health plans help address individual needs, improving both engagement and retention.

Wearable integration and subscription plans

Seamless integration with wearable devices, such as fitness trackers, enables the app to gather health metrics like heart rate, sleep patterns, and physical activity. This data is analyzed to deliver tailored health advice, improving the accuracy of symptom tracking and personal care recommendations.

Improved user flows

The redesigned user flows enhance the key app functionalities, such as test activation and result viewing, by simplifying the journey. This reduces friction, making the app more intuitive and user-friendly.

Designing the ideas/solutions

I started this phase of the project by redesigning all of the existing user flows and laying out the user flows for the new features we had prepared during the research phase. With this, we would have the opportunity to improve the existing user flows based on information we gathered during the research phase and get to see the general image of our future app at a single location. I had a few meetings to go over and finalize the user flows in this step with the product managers and the development team.

User flows and wireframes

Mockups and feature screens

AI Health Assistant UX update: to reduce effort and increase access to personalized guidance, we developed an AI Health Assistant that interprets user data and test outcomes in the moment. It suggests relevant questions, delivers brief responses, and allows users to chat, explore tips, or revisit past guidance—all within one ongoing conversation.

Wearables integration: we’ve integrated devices like Fitbit, Oura, and Apple Health to sync real-time data such as steps, sleep, and heart rate. This enables more personalized nutrition plans and smarter recommendations—all through a smooth, guided setup and daily tracking experience. The experience is designed to be seamless and intuitive, from device setup to daily tracking, so users can seamlessly stay engaged and in control of their health.

Dashboard UX refresh: we added a notification badge so users can quickly recognize new updates, and introduced personalized symptom cards based on test results. With clear metrics, visual cues, and explicit calls to action, the dashboard now offers more relevant insights with less effort—improving clarity, usability, and personalization.

My tests tab: we improved the user experience of the Meine Tests page by introducing three key UI components:

  • sample status indicator to give more intuitive processing feedback,

  • results count badge to group repeat test types, and

  • test history view to display results over time.These improvements improve information clarity, reduce cognitive load, and support a more intuitive test management process.

Symptoms Tab: I designed a guided symptom discovery experience to allow users to discover and learn about what they are concerned about. From categorized overview to personalized detail screen, the path empowers users to take charge of their symptoms, discover clues, and gain personalized guidance — it's simpler to take that first step towards the solution.

Improving existing user flows (app relaunch november 2024): with our November 2024 mobile app redesign, we defined several of these key user flows to help guide the redesign and improve feature discoverability. The graphic below includes a subset of those flows — from onboarding to profile settings, symptom discovery, test activation, and notification states. Each of these flows helped us connect UX decisions to real user needs to make the experience more seamless and intuitive throughout the app.

Design system overview: includes typography, color palette, spacing, grid system, iconography, buttons, and reusable components used consistently throughout the app.

Improved user experience

The redesign significantly reduced bugs and enhanced UI consistency, leading to a smoother user experience and fewer support requests and tickets.

Higher user engagement

Although features like the AI symptom consultant, wearable integration, and product catalog are still in development, early user feedback on the redesigned interface and improved health tracking shows promising engagement.

Positive user feedback

Initial tests of the redesigned app reveal high user satisfaction with the new layout, easier navigation, and improved experience for accessing health test results.

Data-driven personalization possibility

The app uses user input, wearable data, and health patterns to offer personalized experiences. Tailored advice, reminders, and health plans help address individual needs, improving both engagement and retention.

Anticipated conversion increase

The symptom check feature has already shown a 2X increase in conversion rates on the web version. Similar results are expected once the mobile app version is fully integrated and launched.

Further monetization opportunities

While the product catalog and subscription models are still being built, they are expected to provide new revenue streams once released, driving purchases based on personalized health data and recommendations.

Results

This section highlights the key outcomes of the project, showcasing improvements in user experience, early user feedback, and the anticipated impact of upcoming features. While some features are still in development, the redesign has already delivered significant results, with promising insights for future growth and user engagement.

This section highlights the key outcomes of the project, showcasing improvements in user experience, early user feedback, and the anticipated impact of upcoming features. While some features are still in development, the redesign has already delivered significant results, with promising insights for future growth and user engagement.

This section highlights the key outcomes of the project, showcasing improvements in user experience, early user feedback, and the anticipated impact of upcoming features. While some features are still in development, the redesign has already delivered significant results, with promising insights for future growth and user engagement.

Improved user experience

The redesign significantly reduced bugs and enhanced UI consistency, leading to a smoother user experience and fewer support requests and tickets.

Data-driven personalization possibility

The app uses user input, wearable data, and health patterns to offer personalized experiences. Tailored advice, reminders, and health plans help address individual needs, improving both engagement and retention.

Higher user engagement

Although features like the AI symptom consultant, wearable integration, and product catalog are still in development, early user feedback on the redesigned interface and improved health tracking shows promising engagement.

Anticipated conversion increase

The symptom check feature has already shown a 2X increase in conversion rates on the web version. Similar results are expected once the mobile app version is fully integrated and launched.

Positive user feedback

Initial tests of the redesigned app reveal high user satisfaction with the new layout, easier navigation, and improved experience for accessing health test results.

Further monetization opportunities

While the product catalog and subscription models are still being built, they are expected to provide new revenue streams once released, driving purchases based on personalized health data and recommendations.