Food tracking app for IBD patients

I designed a mobile app that helps inflammatory bowel disease patients automatically log their meals through AI image recognition without manually entering

Food tracking app for IBD patients

I designed a mobile app that helps inflammatory bowel disease patients automatically log their meals through AI image recognition without manually entering

Food tracking app for IBD patients

I designed a mobile app that helps inflammatory bowel disease patients automatically log their meals through AI image recognition without manually entering

MY ROLES

Research
Interview
Competitive analysis
Prototyping
Wireframing
Usability testing

TITLE

Project Lead
Product Designer

DATE

2024.10-2024.11

OUTCOME

With gutMate, patients who have ulcerative colitis (UC) and Crohn's Disease (CD) can track their meals by simply taking a picture. My design reduces cognitive load of using AI to track food while communicating actionable insights on which food might be causing their symptoms in a transparent way.

DESIGN PROBLEM

Should I log everything I eat?

Irritable bowel disease (IBD) patients have to log their meals to track how their food is affecting their symptoms. Most food tracker apps targeted for IBD patients require patients to manually log their meals.

MY ROLE

To explore the problem space, I conducted interviews with IBD and IBS patients and performed a competitive analysis of applications they use to track meals and symptoms. As the sole designer, I also led usability testing to refine the design. This was a two-month project.

Interviewing patients who track their meals

I interviewed 5 IBD & IBS patients to learn about their pain points and experiences of tracking their meals and symptoms.

Competitive analysis

By conducting a competitive analysis on the applications interviewees used to track their meals and symptoms, I was able to identify that there is a need for an app that allows users to 1) automatically track their meals through AI, 2) track their symptoms, and 3) allow user control for logging.

WIREFRAMING

Recording a meal & symptoms

FEATURE #1

Auto-logging meals 📸

After users take a picture of their meal, they can quickly identify and add food that the AI model is certain of. If the model is less certain, it displays alternate predictions.

FEATURE #2

Recording IBD symptoms 🖋

Users can record their symptoms through a simple questionnaire with intuitive graphics. This data is used to alert users about which food might be causing their symptoms.

Usability testing

I defined the key tasks as recording food and symptoms. Then, I conducted a qualitative usability testing with the 5 participants who carried out the key tasks and voiced their thoughts. These findings drove future design iterations and made the experience more streamlined and uniform.