Scientific selection
in the age of AI
An evidence-based framework for structured selection, psychometrics, and AI-assisted assessment.
Why Selection Often Fails
The challenge is not collecting more information. The challenge is collecting the right information.
The Science of Selection
Scientific selection is built on a small number of well-established principles that consistently improve hiring decisions.
The Five Principles of VALID
The Occupational Intelligence Network
VALID connects scientific knowledge, occupational psychology, assessment methods, statistical evidence, and artificial intelligence into a coherent evidence-based framework.
Research evidence, occupational databases and validated psychological constructs provide the scientific foundation of the system.
Job requirements, work behavior, and performance are interpreted through an organizational psychology lens.
The role is translated into Work-Related Characteristics: the knowledge, skills, abilities, motives, and traits required to perform well.
Scores, norms, reliability, validity, and social desirability controls help transform assessment data into interpretable evidence.
Candidate information is integrated through explicit decision rules, reducing bias and supporting clear, comparable choices.
Success is defined in terms of expected performance outcomes, such as task performance, adaptability, and organizational citizenship behavior.
AI supports semantic matching, scale selection and interview generation, while final decisions remain human and methodologically controlled.
Tests, structured interviews, work samples, and other tools are selected only when they are relevant to the role and predictive of performance.
