The best analytics program isn’t about dashboards; it’s about asking better questions. Here are five that a school or district should be able to investigate while the answer can still inform its work.

1. Which students are most at risk right now?

Combine attendance, grades, and engagement into one ranked list so advisors can intervene early. If answering this takes a data request and a two-week wait, the moment to act has already passed.

2. How does our enrollment compare to our peer group?

For higher education, peer benchmarking against IPEDS data turns “our numbers” into “our numbers in context.” Are you gaining or losing ground, and where?

3. Which programs and services are actually working?

Look at outcomes by program, course, and service, not just usage. Which interventions move the needle, and which just consume budget?

4. Where are our resources over- or under-allocated?

Which schools or departments are stretched thin, and which have capacity? The answer usually lives across your SIS, ERP, and HR data, rarely in one place.

5. What’s likely to happen next?

The most valuable question is forward-looking: given current trends, what’s the projected retention, enrollment, or completion rate, and what can we change now?

The common thread

Every one of these questions requires data from multiple systems, unified and governed, with an answer available while it can still inform the work. That’s the premise of education-specific AI analytics: ask in plain language, review the methodology, and move from a question toward action.

See how Doowii supports questions and workflows like these in a guided demo.

5 questions every school should ask its student data