AwardSpring vs Blackbaud Award Management

Ask to see the student's complete path through the application. Check whether a student applies once, can complete the work on a phone, and is considered for every fund they qualify for. Count required fields, then ask whether documents can wait until a student advances.

Application friction is where volume quietly leaks. Compare both platforms with the same student scenario and the same fund requirements rather than relying on a feature list.

Use one of your harder funds in each demonstration. Ask who writes and maintains the rules, how conditional questions work, what happens when student data changes mid-cycle, and how staff review likely matches before an award is made.

The useful test is not whether matching exists. It is whether your team can explain why a student surfaced for a fund and make a final decision with the information in front of them.

A scholarship cycle is not complete when an award is made. Ask how award and impact data becomes something a donor can see, how much work remains manual, and whether staff can trace the result back to the fund and donor record.

If your institution runs advancement on Blackbaud, ask precisely how award data returns to that environment. If you are moving to AwardSpring, ask the same question in reverse.

Whatever you use for advancement, the scholarship platform has to live cleanly alongside your student information, finance, and CRM systems. Ask both vendors what the sync maintains day to day and what happens when a record changes during an active cycle.

Blackbaud positions Award Management within its fundraising environment and describes a connection to Raiser's Edge NXT through a partner connector. For institutions already standardized on that environment, keeping scholarships with the same vendor can be the draw.

Source: Blackbaud's Award Management product page.

Support matters most around deadlines, when volume rises and your team has little room to wait. Ask each vendor for the response time they actually reach, then talk to a reference institution about its busiest week.

AwardSpring answers support requests in 16 minutes on average. Treat the gap between promised and actual support as a core part of the evaluation.

Useful AI speeds up work people already do, such as preparing a first pass or surfacing likely matches. AwardSpring's SpringIQ assists the work while the committee keeps the final call.

Ask every vendor what its AI decides, what it assists, what data it uses, and who signs off on the output. A clear answer matters more than the presence of an AI label.