In the initial research phase our team used a matrix to generate ideas toward how different machine learning attributes and features could meet the varied needs of patients. After benchmarking current machine learning healthcare tools we conducted interviews with patients with Crohn’s disease and the parent of a patient with Crohn’s to identify points of frustration and opportunity in their current experience.

Based on our interviews, we developed personas and a corresponding user journey to ground our design explorations moving forward.

Our personas Rose and Lara show the contrast between a newly diagnosed patient with Crohn’s and a long-term patient.

Rose’s As-Is User Journey and Lara’s To-Be User Jouney