Introduction

ScholarshipUniverse combines several features to efficiently identify and award the right applicants. 


First Step - Qualify Students with Matching

Each scholarship is setup with matching requirements that are used to identify all students that meet the minimum requirements of a scholarship. The matching engine "interviews" students by asking the most relevant question based on what is known about the student. This could be self-reported answers or pre-answered questions using imported data from other institutional systems like the SIS. The matching algorithm also insures that students are not asked irrelevant questions. Scholarships that require an application will prevent students who do not meet the matching criteria to even apply. This insures that applicant pools contain only qualified applicants and reduces the amount of time spent by committees and reviewers from reviewing applications only to find the student does not meet basic requirements. 


Second Step - Use an Application Review Process to Differentiate Candidates

Because only qualified candidates (i.e. those that match) are allowed to apply, the application can be short and targetted to the differentiation requirements of the scholarship. Applications can include short answer questions, essays, letters of recommendation, resumes/vitae work samples etc, or to collect information not required to match.  The application review process allows for a holistic review of applicants using:

  • Scorecards - Predefined evaluation rubrics with weighted scoring that guide reviewers through the evaluation of an application.  The Scorecard process generates an average score for each applicant that makes reviews consistent and easy to sort and rank. See [Insert article]
  • Multiple Review Rounds- Each review round can use different reviewers and/or different scorecards to funnel the applicant pool to the best candidates.  


Third Step - Rank Applicants with SmartRank

After reviewing applicants, SmartRank is used to combine the quality of the application with bio demographic, academic, and financial data to algorithmitically rank the applicants for awarding purposes. For example, the SmartRank for a given scholarship could calculate a rank for each applicant using how they scored in review, Highest GPA, and lowest EFC. These components can be waited to adjust the ranking based on which factor is considered most important for awarding. 


SmartRank can also be used to identify applicants who meet donor preferences and move them to the top of the ranking.  For example, the donor specifies that