Blog Beyond Student Success: Evaluating Higher Ed Software, Vendors, & Institutional Fit Features are easy to evaluate. Coordination is harder — and far more important to long-term institutional outcomes.
Guide A Buyer’s Guide to Evaluating Institutional Success Systems How leading institutions connect student insight with institutional data to drive coordinated action and measurable outcomes.
Customer Stories From a Year of Frustration to Live in Six Weeks: Lawrence Technological University’s Deployment Story After a year of stalled progress, LTU made a switch—and went fully live in under two months.
Guide Beyond Initiatives: The Student Success Playbook Student success isn’t failing from lack of effort. It’s failing from lack of coordination. This playbook shows how to move from disconnected initiatives to a system that drives real outcomes.
Blog CLOSE the Student Impact Gap: A Modern Operating Model for Student Success Student success isn’t failing because of effort—it’s failing because systems are fragmented. Learn how the CLOSE operating model helps institutions turn insight into measurable impact.
Blog How Civitas Learning Thinks About Data (and Why That Matters) Most institutions have the data. Many have the effort. Fewer have systems that turn both into impact. Here’s how Civitas Learning thinks about student success data—and why coordination matters more than perfection.
Blog Rethinking AI in Higher Ed: It’s Not About Saving Time—It’s About Making Better Decisions AI is often introduced as a way to speed up work in student success. But lasting impact comes from systems that earn trust, reflect institutional context, and support—not replace—human judgment.
Customer Stories Leading Through Listening: The Collaborative Story Behind Del Mar’s Civitas Learning Adoption Del Mar College reintroduced Civitas Learning by leading with listening—building trust, collaboration, and shared ownership across campus.
Podcast [Bonus Episode] How to Empower Student Retention Efforts with AI Student success doesn’t fail because institutions lack data—it fails because insight arrives too late.
