See It Early. Act on It Now.
The difference between a student who graduates and a student who leaves is often a conversation that happened too late—or never at all. Bettera helps institutions shift from reactive intervention to proactive support.
How Bettera Helps
Early Warning Through Connected Data
When a student misses their FAFSA deadline, skips their first advising appointment, and stops logging into the LMS within the first two weeks—ServiceNow aggregates those signals and automatically triggers an intervention workflow: a check-in from their advisor, a reminder about available resources, or a prompt to schedule an appointment.
The Student Portal
One digital front door. Pay bills, register for classes, submit IT requests, schedule advising, interact with an AI assistant—all in one place. The portal knows who you are because it’s connected to the profile that’s tracked you since you were a prospective applicant.
The Advisor Workspace
Before a meeting, an advisor sees degree progress, GPA trends, chatbot interactions, open cases, and early warning flags—all on one screen. No logging into five systems. No asking the student to re-explain their situation.
AI-Powered Self-Service
Students ask natural language questions—“What’s my GPA?” “How do I change my major?”—and get accurate, context-aware answers instantly. When a question needs a human, the conversation transitions seamlessly with full context.
15–20%
of first-year students land on academic probation
~50%
of those students never return
$10M+
in lost tuition from an 8% attrition rate at a mid-size institution
The Iterative Path Forward
You don’t need a multi-year transformation. Start with a single use case—academic advising, for example—integrated with one or two backend systems. Then iterate quarter by quarter, adding integrations and capabilities as you demonstrate value.
Every semester you wait, students fall through the cracks.
The Problem
A student goes on academic probation at the end of a semester. A letter is sent. An advisor is assigned. By that point, the student has been struggling for months—missing assignments, skipping advising appointments, falling behind on financial aid paperwork. No one connected the dots.
The data existed to identify these students weeks earlier. But it lived in separate systems: the LMS tracked assignments, the SIS tracked grades, the bursar tracked payments, the advising system tracked appointments. No single platform connected these signals into an actionable picture.
The student was off track in week two. The institution didn’t notice until month six.
