A single email open tells you almost nothing. Three quiet signals at once tell you a student is about to slip away.
I joined Dr. Paul Orscheln of Park University, Tom Nesbitt of Clinton Community College, and Carolina Recchi of EdSights for a panel called Beyond Traditional Models: New Signals for Driving Student Connection and Yield. Here is what stuck with me.
Context beats any single signal
My team does not react to one data point. We look for patterns: a student moving through stages much slower than their peers, or someone opening every financial aid email but never taking the next step. When a stalled application, falling engagement, and an unanswered question show up together, that is when we reach out. The goal is to get to the why, so the conversation can be personal instead of generic.
The students who look fine sometimes are not
Some of the students we worried about least had strong grades and good attendance. When we actually listened, we learned that campus life had been built around residential students. Commuters felt like guests at someone else’s party. Nothing in the standard dashboards flagged it. Students told us, once we gave them an easy, low pressure way to say it.
Technology speeds up whatever process you give it, broken ones included.
Where AI actually helps
The real wins are practical. AI can spot patterns across caseloads that no single counselor could track, and it takes administrative work off people’s plates so they can spend their time on conversations that matter. But it has to plug into a process you have already defined. Relationships still come from people.
One thing to try in the next 90 days
Add one question to your application asking what worries or motivates the student. It costs almost nothing, and your team walks into every conversation already knowing what matters.
