From Patterns to Priorities
The Counselor Dashboard translates patterns over time into shared priorities for student support teams.
Counselors see where students are steady, where change is emerging, and where closer attention may be helpful. This population-level view helps teams align quickly and avoid reacting to noise.
BrainDash organizes this insight into a simple, shared model of attention:
Observe
Patterns appear steady and supported. This helps schools maintain what’s working and reinforce conditions that support engagement, connection, and learning.
Monitor
Patterns show emerging change over time. This signals where closer attention may be helpful, without requiring immediate action.
Intervene
Patterns suggest focused, timely support may be appropriate, guided by counselor judgment and school-defined processes.
These are not labels or decisions. They indicate levels of visibility that help counselors prioritize attention thoughtfully.
BrainDash supports professional judgment. It does not define students, predict outcomes, or prescribe action.
Student Check-Ins Designed for Trust and Safety
Brief, structured check-ins delivered through a school-controlled chat experience
BrainDash uses short, structured student check-ins to capture how students are doing over time. These check-ins are designed to fit naturally into the school day and provide consistent input without relying on long surveys or one-time assessments.
The experience adapts by developmental stage, beginning in elementary grades and extending through high school, with age-appropriate language and interaction.
Intentionally limited by design
The check-in experience follows clear boundaries defined by the school. It is designed to be predictable, appropriate, and supportive, while remaining structured and focused.
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Uses a conversational format without providing therapy, interpretation, or advice
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Does not prompt disclosure beyond what the school has defined as appropriate
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Supports consistency and routine, rather than emotional escalation
Guided by established best practices
The design of BrainDash check-ins is informed by established guidance in youth well-being, including resources from the American Psychological Association and the JED Foundation.
Within these guardrails, AI and machine learning help identify patterns across responses over time, supporting earlier visibility while keeping human judgment at the center.
BrainDash looks beyond single moments by combining multiple check-ins over time. This helps schools distinguish meaningful change from everyday ups and downs.
BrainDash does not provide advice, diagnosis, or real-time intervention. Human judgment remains central at every step.
