Challenge
Personalized wellness without overloading health workers
The challenge was to deliver personalized wellness recommendations to users, foster trust, and empower users to take control of their own well-being while alleviating the workload on Community Health Workers.
Key research questions explored how data sources, intake flows, chronic condition needs, and fallback recommendations could shape the AI-assisted experience.
Solution
Generated goals with human oversight
The solution empowers users with personalized wellness goals generated from questionnaire responses. Users can track, expand, and set reminders for goals through a friendly interface.
Community Health Workers can manage assigned patients, view and edit health goals, schedule reminders, and manually add new goals when care plans need a human touch.
Research
Market signals and user scenarios
The research surfaced the scale of chronic disease in the United States, income-related chronic condition patterns, and the need for recommendations that can adapt to preventative and chronic-care goals.
Patient scenarios focused on personalized medical history, wearable data, timely reminders, and staying on track. Community Health Worker scenarios focused on editing goals, collaborating with clients, and tracking progress.
Outcome
End-to-end design practice
This project covered the full UX cycle from market and user research to interactive prototyping under a 12-week timeline.
The work translated a high-level AI capability into concrete recommendation flows, a 24/7 AI chat assistant, and patient/CHW interfaces refined through client feedback.
Artifacts
Design evidence
Let's work together.
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