mAI Journal
mAI Journal is an interactive, AI-supported mobile application designed to help women track aspects of their health journey with clarity and confidence. The app combines guided journaling, symptom tracking, calendar tools, and personalized AI insight to support users through difficult health experiences.
Disclaimer: The work shown was completed during full-time employment and is shared to highlight my role and contributions. This is not a client of Stone Interface.
Client
FCB Health
Role
UI, Research-Informed Interface
Tools
Figma, Adobe Photoshop, Stark
Challenge
Women experiencing chronic health symptoms often face delayed diagnosis, fragmented symptom tracking, and difficulty communicating patterns to healthcare providers. These challenges create a need for clearer, more structured tools that support symptom documentation and provider conversations.
Goal
Explore how an AI-assisted interface could support clearer symptom tracking and more structured health journaling to improve user understanding and provider communication.
Solution
Developed high-fidelity mobile interface concepts for an AI-assisted journaling and symptom-tracking tool, focusing on clarity, guided input, and structured health data capture through conversational interaction patterns.
Using research insights, the team developed high-fidelity interface mockups for a structured symptom-tracking experience. The interface included guided journaling with AI prompts, symptom calendar views, doctor visit preparation workflows, and quick-capture “snapshot” entries for low-energy moments. Design decisions prioritized clarity, reduced input friction, and consistent interaction patterns across features.
Accessibility considerations were incorporated during interface validation. Tools such as Stark were used to review color contrast and typography sizing to support AA/AAA readability targets and mobile accessibility best practices.
Because this concept operates in a healthcare context, the interface was designed with HIPAA-aligned security considerations in mind, including:
Encrypted data handling models (conceptual)
secure infrastructure assumptions
session protection patterns
audit and access control considerations
These were explored at a product-concept level rather than implemented production controls.
mAI Journal empowers users with chronic health conditions by combining thoughtful interface clarity and supportive tasks that help people track patterns, validate experiences, and communicate more confidently with healthcare providers.
Although this was just an internal product, this project was a valuable exploration of how AI can be thoughtfully applied in the healthcare space to improve patient experience and engagement.