The Core Drivers Diagnostic
The Core Drivers Diagnostic was developed using a rigorous scientific methodology, leveraging data from over 100,000 working adults, psychometric methodologies, and machine learning techniques. As a result, the diagnostic is the shortest and most accurate measure of personality.
The Core Drivers Diagnostic was designed to give users, teams, and organizations deep insights about how they think, relate and perform at work. It is based on the de facto model of personality — the Five Factor Model — and measures the following 12 behavioral dispositions:
- The tendency to be Candid or Considerate (trait Agreeableness)
- The tendency to be Flexible or Disciplined (trait Conscientiousness)
- The tendency to be Reserved or Outgoing (trait Extraversion - Gregariousness)
- The tendency to be Laid Back or Driven (trait Extraversion - Proactivity)
- The tendency to be Pragmatic or Curious (trait Openness)
- The tendency to be Passionate or Stable (trait Emotional Stability)
The image below outlines these 12 dispositions stemming from 6 continuous traits:
The diagnostic is built upon a scientific and empirical model, while leveraging the intuitiveness and ease of the tools such as the Myers-Briggs Type Indicator. Rather than overwhelming you with many scales and percentage scores, we only present feedback on your most unique three scores. This is determined by comparing your scores to our normative database and identifying the three scales that deviate furthest from the population mean. As a result, you are given three adjectives that describe your Core Drivers. For example, an individual with very low Agreeableness and Openness scores, and high Emotional Stability scores would be described as Candid, Pragmatic and Stable. To help you quickly get to insight and understanding, we do not provide feedback on scores that do not widely deviate from the mean, although this data is available to platform administrators.
Empirical evidence has demonstrated that the Core Drivers Diagnostic has excellent reliability and validity, showing strong correlations with other personality tools and key outcomes such as work engagement and job performance. Further, the tool shows no evidence of adverse impact or bias.
You can read more about the science of the diagnostic in the Technical Manual.