Milim Kim-Sinoy - UX Designer and a Product Manager in Canada

BrainTest Clinical App: B2B Collaboration with Universities

Working on the BrainTest Clinical App gave me the chance to directly collaborate with multiple academic institutions and research groups across North America. These partnerships were centered around adapting the app to fit the distinct protocols of each cognitive research study. This meant customizing user flows, creating new modules, and modifying backend settings to support everything from different test types to tailored data output formats.

Due to NDA restrictions, a more detailed breakdown of the process and additional visuals are available upon request.

Goals

Build a clinically viable cognitive assessment tool that could be adapted by research institutions.
Ensure the app could support varying research goals through modular customization and backend flexibility.

Challenges

Navigating the varied technical and scientific requirements across multiple research partners.
Developing infrastructure that allowed for study-specific adjustments without compromising core stability.
Supporting seamless integration with existing university workflows and tools.

Process

Partnering with Academic Institutions:
- Worked closely with institutions like The Ohio State University to understand specific study protocols and research questions.
- Conducted discovery meetings and interviews with clinical researchers and neuropsychologists to gather key requirements.
App Customization:
- Implemented modular features such as adjustable test selection, custom session flows, and variable frequency of assessments.
- Worked with backend developers to enable per-institution settings that allowed researchers to define access levels, data formats, and reporting styles.
Technical Onboarding and Support:
- Developed onboarding documentation and walkthroughs tailored to each institution's tech literacy and infrastructure.
- Provided hands-on support during pilot testing phases to ensure smooth rollout and early troubleshooting.
Iterative Collaboration:
- Integrated continuous feedback from both university researchers and participants to refine the UX and feature set.
- Added features like time-stamped session logs and institutional newsletters based on feedback loops.

Solution

Delivered a modular and research-friendly platform that could adapt to the needs of cognitive health studies.
Integrated advanced backend settings for each institution to independently manage their configuration and data access.
Strengthened institutional trust by demonstrating responsiveness and precision in feature customization.

Impact

Played a critical role in enabling real-world clinical studies, supporting research on early-stage cognitive decline and Alzheimer’s.
Streamlined the data collection process for researchers, improving data quality and participant retention.
Set a precedent for future collaborations between digital health tools and academia by providing a scalable yet tailored solution.