Fields
- UX Design
- Art Direction
- Visual / Interaction Design
PLatform
- iOS
- Android
An estimated 350 million people suffer from depression worldwide. Mind.me leverages technology, data science and machine learning to help diagnose, manage and predict depression, with little to no effort from the user.
A Proper Intro
Onboarding
Mind.me's visuals and soft tone tells a simple story and welcomes the user into a benevolent experience.
Permissions
In order to predict depression and remain effortless to a user, Mind.me needs three permissions. Even when they were not asked in context, the conversion rate remained high because our audience was engaged.
Mood & Friends
The Moodboard
14 days after the user installed the app, Mind.me is able to predict and display the mood of the user, through soft, non-threatening imagery. If the user hasn't accepted all the permissions yet, they are invited to do so in order to boost the diagnosis accuracy.
The PHQ-9 Questionnaire
In order to calibrate the AI engine and increase the diagnosis accuracy, the user is periodically invited to answer a questionnaire about their mood and potential symptoms of depression.
The Circle of Trust
People suffering from depression tend to isolate when they actually need help. Mind.me detects symptoms of depression and immediately sends a notification to one of the persons chosen by the user, letting them know that their help is required.