Readiness Infrastructure for Pre-Licensure Nursing Programs
Nursing programs select applicants using academic proxies — GPA, prerequisite coursework, and standardized entrance exams. These metrics measure preparation. They don't measure whether an applicant will persist through the academic, behavioral, interpersonal, and emotional demands of nursing education.
Level Assessments was built to address that gap. The platform measures 27 readiness attributes predictive of persistence, using instruments with a 30-year track record of validated use and zero adverse impact, adapted specifically for pre-licensure nursing populations.
The result is structured, defensible admissions data that helps programs align decisions with the realities of nursing education, improving throughput without adding a single seat.
Level Assessments was built on a straightforward premise: the nursing workforce pipeline has a throughput problem, and it starts at admissions. Academic metrics alone cannot predict which applicants will persist through the demands of nursing education. The platform exists to give programs better signal earlier.
The assessment instruments underlying the platform have been in validated use for approximately 30 years, with documented reliability and zero adverse impact across deployments
Mission Statement:
Equip nursing programs with validated readiness assessments that improve admissions alignment, support earlier intervention, and increase persistence through licensure.
See the Platform in Action
Level Assessments works inside your existing admissions workflow. See what readiness data looks like in practice and how Vera Insight translates attribute profiles into faculty-actionable guidance.