Job-Fit Neurometric is organizational neuro-analytics modeling that reveals the brain signature of potential high-performing talents.
What makes high-performing talents achieve higher than others is not about the amount of knowledge, skills, or experience that they acquire, but the way their brain digest and harness those knowledge, skills, and experience. In essence, the brain of high performers works more effectively in comparison with the brain of low performers.
Job-Fit Neurometric is organizational neuro-analytics modeling that reveals the brain signature of potential high-performing talents. It predicts the future performance of talents or leaders based on their brain scores. Using machine learning, Job-Fit Neurometric transforms neuroelectrical brain data into a predictive performance map of people within the organization. It reveals:
Predictive Performance, which displays an organizational brain map of high and low performers across job functions and/or managerial levels
Brain Signatures, which explains the neuro-behavior characteristics that distinguish high performers and low performers in the organization
Potential Functions, which suggests potential job functions that are most possible for each talent to perform well in the organization
The machine-learning algorithm of Job-Fit Neurometric separates the high performers from low and medium performers based on brain patterns underlying motivation, goal-setting, cognitive processing, problem-solving ability, and emotional regulation. It had been tested across industries with 78% predictive accuracy.
Grounded in cognitive neuroscience research, it provides a scientific measurement that allows your organization to discover:
what are the brain signatures of high-performing talents in specific job functions or a particular layer of managerial levels
what are the brain functions or systems of low or medium performers that need to be improved, altered, or optimized to be able to perform better
why some talents tend to perform higher while others tend to perform lower by understanding how their brain works
how to lead more effectively to enable talents to achieve peak performance considering their predominant neuro-behaviors