Mynd Health
Industry
Clinical Psychiatry
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Consumer Mobile
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OVerview & GOALS
My co-founder and I created this app to help bridge the gap between mental health patients and psychiatrists between their quarterly visits. We focused on giving both parties visibility into the day-to-day quality of life of patients on different treatments, so that adjustments can be more custom-tailored to each unique patient.
Team & Timeline
My Role: I was the sole Product Designer / Product Manager from market research to UI definition and post-launch iteration
Other Team Member: Jonathan Torrens - Full Stack + iOS Engineer
Project Duration: 8 months
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View Live Example
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I. Problem Discovery & Definition
How might we help patients to share their symptoms and side effects with their medical providers sooner than every 3 months, so that patients can find a treatment plan that works for them?
Americans with major depression and anxiety often struggle to find a treatment that works for them. We focus on major depression, PTSD, and anxiety, the most common mental illnesses in America.
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User Quotes
The side effects of prescription treatments are not worth it. I’ll find other ways to cope.
— Randy
If my patients stop taking their medication and don’t come to their next check-in, I don’t have an opportunity to adjust their treatment plan.
— Randy’s Psychiatrist
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II. Solution Ideation & Validation
Iteration
This was our initial brand guideline. We wanted the patient app to feel trustworthy, clinical, so I focused on:
- Signaling trust with a color scheme that was shades of blue, navy.
- Creating a more clinical personality with sharper corners for the bevels on forms.
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Iteration
In the second iteration, I focused on addressing the user feedback that the app felt oppressive by:
- Brightening the color theme to nature-inspired, warm, slightly muted tones
- Increasing the bevel to round out forms to create a more friendly and approachable look
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III. Impact & What's Next
In hindsight, we could have further simplified the interactions for logging symptoms and side effects and saved “severity” metrics for a subsequent launch. We spent longer than necessary fine-tuning various interactions in the built version, when we could have tested earlier with Figma prototypes. The main challenge with finding representative test subjects was the medical sensitivity of the space. We relied heavily on our advisor, who was a psychiatrist, but we could have expedited iterations by testing with more psychiatrists in addition to patients.
