Helping patients with mood disorders track their mood cycles
This week I decided to tackle a problem that lives a little closer to home than the others I've attempted. I used to use a mood tracker to help me learn more about my mood patterns and prove to myself that things aren't always as bad as it seems. The tracker I used stopped getting updates, so I decided to design what I would want in the perfect mood tracker.
As always, I started with paper sketches, and then used Figma to transform these paper sketches into digital wireframes.
The idea here is to make it as frictionless as possible to add an entry to the mood log, so that users are more likely to use it regularly. Users can add an entry using an overlay prompt, or enter the full app to add more details like tags or notes.
Users can view a chart of their mood log, and the app generates mood predictions based on the user's history. Users can view a graphical representation of their average mood each day on the calendar page.
Users can easily send their mood logs directly to their doctors to help them get the care that they need. The app makes associations between tags and their average moods, and suggests some insights.