Case Study: Identifying Melt Risk Early

When Roosevelt University's applications tripled, the admissions team faced an impossible challenge: how do you spot the students quietly slipping away before it's too late? 

In this compelling case study, Executive Director Thomas Ott shares how Roosevelt redefined summer melt prevention by using behavioral intelligence. With thousands of admitted students and limited staff, traditional checklists and static reports simply couldn’t keep up. That’s when the team turned to enroll ml, not just to sort the data, but to surface the students who needed help before they disappeared.

Rather than drowning in spreadsheets or chasing every missing form, Roosevelt counselors started each day with a focused, data-driven list of students who were beginning to drift. The result? Smarter outreach, higher confidence, and fewer missed opportunities. If you're leading admissions in a high-volume, high-stakes environment, this story will change how you think about melt, and show how the right insights can make your counselors' day feel not just manageable, but meaningful.

Download the full case study to see how Roosevelt turned rear-view reporting into real-time action.