Exer Labs - a platform dedicated to physiotherapists

Exer AI is a digital musculoskeletal (MSK) platform that utilizes AI technology to provide patients feedback about their health conditions on their mobile devices. Exer Labs are dedicated to improving patients therapy, and also assists healthcare providers by enabling remote monitoring of patients undergoing therapy.

I had a privilege to build product for Exer Labs between 2020 and 2022.

👩🏻 My role

Initially, for Exer AI, I built a platform for physiotherapists aimed at managing patient data and creating individual exercise programs for them. The goal was to build platform form scratch trough UX phase and final visual design. I collaborated with the project manager and the developers' team.

🎨 Design process and Goals

Competitor research
Information architecture
User Flows
Wireframes
Product UI
Design system

During project kickoff workshops and through competitor analysis, we established several goals and hypotheses crucial for further design. The product should support treatment and aid patients in their daily therapeutic activities. Building patient-therapist relationships will be vital for the product. A key priority will be user-friendly exercise program creation, as competitor analysis showed this element is often too complex.

🔥 How did I helped?

The main challenge was designing the patient view and organizing their health information while ensuring it aligns with physiotherapeutic standards. I focused on presenting patient-related data efficiently, with appropriate grouping and tables. Physiotherapists are fully informed about patient engagement and can control it.

I ensured that therapists could easily create and assign personalized exercise programs following treatment standards and fully customize them, making the platform closer to patients' needs. I built an MVP with key features including onboarding, patient management, home exercise program builder, program templates view, exercise library, and basic settings

UX solutions - Home Exercise Program builder

This is the feature where physiotherapists build the program for the patient. It includes naming the program, choosing exercises from the library, adjusting the exercise details, and assigning it to patients (or saving as a template). As a solution, I chose the building wizard pattern, which helps understand the process and easily navigate it. For this feature, it was essential to provide an opportunity for sharing notes - it helps patients feel treated individually, which is important throughout the healing process.

UI Design and Design System

The goal for this phase was to achieve an aesthetic that reflects the health industry. Based on previous research, we decided to adopt a completely new style guide as the foundation for future redesigns.

Colors, typography and style

Regarding style, I opted to use a friendly and flexible typeface - DM Sans. The color palette was selected based on industry associations, utilizing purple and turquoise. Additionally, I focused on incorporating rounded shapes to create a friendly vibe, expected for industries related to personal care.

Long-term collaboration - design challenges

While building the MVP and some features were available for testing, we reviewed it with users and found insights to improve. Through iterations with users, we decided on changes or improvements in the current design. Also, we asked ourselves about taking the platform to a more engaging level and creating a better connection with patients and physiotherapists.

How can we enhance the informativeness and engagement of data? - constructing visualizations of patients' well-being

One of the goals of the entire Exer Labs company was to achieve a tangible impact on patients' health. Integral to this process is continuously monitoring the progress of the patient, which is why we decided to add dynamically generated charts based on data from individual programs to the platform. Based on feedback from physiotherapists, we determined which metrics are most valuable. Initially, we focused on ranges of motion and assessing their potential for both limbs, as well as indicators such as pain threshold and joint range of motion compared to normal.