Case Study: University of Alberta identifies top Ph.D. candidates faster with Alex AI

Apriora Identifies Top Candidates for Professors at The University of Alberta

The University of Alberta faced a significant challenge when hiring for a highly specialized Ph.D. role that required a unique blend of expertise in civil engineering and dentistry. The process of manually reviewing over 30 applications was a major drain on the professors' limited time and carried the risk of overlooking strong candidates whose resumes might not perfectly reflect their qualifications. To address this, they turned to the vendor Alex AI to test its screening capabilities.

Alex AI implemented its solution by interviewing all applicants using a custom rubric based on the job description, scoring them, and producing a ranked shortlist. The results were impressive, with Alex's AI-led process validating the professors' manual selections by ranking identified two additional high-quality candidates who had been initially overlooked; both were ultimately added to the final shortlist. This not only improved the quality of the hire but also saved the university significant time by handling the entire interview and evaluation process in days instead of weeks.

University of Alberta

Samer Adeeb

Chair of Civil and Environmental Engineering