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ProductGraduate capstone

MYND

A mental health app that reads behavioral signals and intervenes before a crisis, not after one.

The MYND marketing site, headlined easy and accessible mental health care, with the iPhone app below showing a daily mental health score

The problem

More than one in five US adults live with mental illness. The barriers our five clinician interviews named weren’t clinical: culture, language, cost, stigma, time, convenience.

The gap isn’t treatment. It’s the distance between needing help and knowing help exists.

We ran a heuristic analysis of Daylio, Bearable, Garmin’s Body Battery and uMore. All four tracked. None intervened. That absence became the product.

What I did

I joined a startup with a mid-fidelity prototype, no cohesive look and no user testing.

I built the brand and a design system first, so later decisions had somewhere to resolve. Then I rebuilt the app around a single score, from sleep, HRV, steps, location, phone use and mood.

The anonymous survey surfaced coping mechanisms no interview did, including drinking, smoking and staying in bed all day. So the app couldn’t assume someone’s existing methods were healthy.

Two clinicians warned that a phone app contradicts their own advice to cut screen time. So interventions had to be rare and quiet.

That’s why the flow below starts on the lock screen, not in the app. Every step after it is ordered by what it costs you: someone you trust before a professional, a professional before an emergency line.

  1. An iPhone lock screen with a time-sensitive MYND notification saying a friend is wondering how you are doing and inviting a check-in

    1. The nudge arrives. A time-sensitive notification, not an app you have to remember to open. This one is a friend asking, which is the cheapest intervention there is.

  2. The MYND home screen with a score ring reading 7, a quote of the day, four biometric readouts, and a row of close friends

    2. One score. Sleep, screen time, steps and heart rate variability resolve into a single ring. A number you read in a second, not a dashboard you study.

  3. An expanded MYND dashboard graphing mood, steps, sleep and heart rate variability across a selected day

    3. The signals behind it. One tap from the ring. Mood, steps, sleep and HRV over time, so the score is auditable rather than a black box.

  4. The MYND daily check-in screen offering a row of mood emoji to choose from

    4. It asks before it acts. A low score is a hypothesis. The check-in validates it against how you actually feel before anything is recommended.

  5. A MYND coping exercise called Examine a Leaf, with three numbered steps and a five-star rating asking whether the exercise worked

    5. A low-risk intervention. Specific and finishable, then rated. The rating is what lets the app learn which mechanisms work for this person instead of guessing.

  6. The MYND friends screen showing a grid of trusted contacts with topic filters for anxiety, depression, stress, trauma and heartbreak

    6. Or a person. Contacts filterable by what each is willing to talk about, so reaching out costs one tap and no explanation.

  7. The MYND help screen grouping local, online and in-app support options, with a red emergency button among the local group

    7. Escalation, by cost. Local support, then online, then in-app. Grouped so the cheapest option is the first one you see.

  8. The MYND emergency screen offering to call 988 or emergency services

    8. The last resort, last. 988 and emergency services are reachable in two taps but are never the first thing offered.

A page from the MYND brand guidelines specifying the logo, its exclusion area, and the relationship between the icon and the wordmark
The brand guidelines. A startup that intends to hand work to other people needs the rules written down, not remembered.

Outcome

MYND won the Dr. James R. Chen Award for outstanding MIMS final project, then carried on into Berkeley SkyDeck’s Pad-13.

The research numbers are modest: 21 survey responses, nine interviews, five clinicians.

The explainer video is the one I filmed and cut, and the project page carries the full team. The rest of the graduate work is in UC Berkeley.

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