Hiring nurses is a difficult task that can have serious repercussions for medical facilities. If nurses without proper skills are hired, patients can suffer from insufficient quality of care and potentially life-threatening conditions. Nurse applicants’ technical knowledge is extremely important to avoid negative outcomes; however, there are soft skills that factor into their success, such as bedside manner, personality, communication, and decision making. In order for medical facilities to select and maintain high-performing nurse staff, hiring managers must incorporate evaluations for these types of skills in their hiring process. The current study focused on using content/criterion-related validation design to create assessments by which nurse applicants can be evaluated for both technical knowledge/skills and soft skills. The study included participation of more than 876 nursing staff members. To rank applicants on divergent skills, 3 assessment types were investigated, resulting in the creation of an assessment with 3 components. The clinical, situational, and behavioral components that were created measure applicants’ job knowledge, interpersonal competency in medical facility–related situations, and aspects of personality and behavior, respectively. Results indicate that using the assessment can predict 45% of a nurse applicant’s future job performance. Practical implications include hiring and maintaining a higher quality of nurses and decreased hiring costs.