Ruth — AC-08

Age: Mid-50s Platform: Web (Plus) Status: Established user, institutional context

Who She Is

Ruth has directed a university counseling center for 11 years. She manages a team of counselors, runs wellness programs for a student body of 18,000, and thinks constantly about scale: how do you extend mental health support to more students when your clinical staff can only see so many people in a week?

She's not a technologist by training, but she's pragmatic. When a counselor on her team mentioned the app during a staff meeting — noting it was based on Kristin Neff's peer-reviewed framework — Ruth downloaded it that afternoon. She used it herself for a month before deciding to pilot it with students. That's her standard: she doesn't recommend things she hasn't tried.

She is detail-oriented and outcome-oriented in the way that administrators have to be. She tracks things. She exports data. She writes annual reports. She is not suspicious of quantification — she just insists on knowing what it's measuring.

How She Uses the App

Ruth's personal practice is daily and structured. She completes 62 practices over six months, uses the journal to reflect on both her own patterns and her professional observations, and has exported her data three times — once for each semester of the campus pilot.

Her journal entries are a mix of personal and professional: some entries are about her own inner critic (the voice that says she's not doing enough for students, that the programs she runs don't reach the people who need them most), and some are observations about what she's hearing from students who are using the app.

She practices every day before her first staff meeting. The two-month daily goal streak she's maintained is less about the streak itself and more about the discipline of starting her day with a grounding practice before the inbox and the calendar take over.

Her use of the web version reflects her work context: she's at her desk most of the day, and the web app lets her practice without switching devices.

What She Needs from the App

• Data export that professionals can actually use. Her CSV exports go into institutional reports. The format, labeling, and completeness of the export matters. Column headers need to be readable. The data needs to be in a format that doesn't require cleanup before analysis.
• Educational content accurate enough to cite. She has referred students to the articles in the Learn section. Those articles must be grounded in actual research. If a claim is supported only by one small study, it should not read like established science.
• Long-term data retention. She exports data at the end of each semester, but the app's history needs to go back months without truncation. Full history must be available in every export.
• Web parity. The web version is her only interface. Every feature she uses must work in a browser, including journal, mood check-in, progress tracking, and data export.

Design Implications

Ruth represents a user type that many wellness apps overlook: the institutional champion. She is not just an end user — she is a decision-maker who can recommend the app to an entire counseling team and a student population. Her continued trust depends on the app meeting professional standards: accuracy, data integrity, and seriousness of purpose.

Her export usage is a concrete feature requirement, not a nice-to-have. If the CSV export is missing columns, truncates journal text, or produces malformed data, Ruth's annual report is affected. This is a hard reliability bar.

Her personal practice also illustrates something important: the app is for people who know something about mental health as well as people who are new to it. The depth of the practice library and the accuracy of the educational content determine whether sophisticated users stay or move on.

Current State

• Practices completed: 62 (daily since starting 6 months ago)
• Journal entries: 34 (personal practice + professional observations)
• Streak: Continuous 2-month goal streak (currently active)
• Subscription: Plus
• Device: Web (primary)
• Data exports: 3 (end of each academic semester)
• Campus pilot: 30 students over one semester