Psychometric testing is a variety of tests and tools that measure a candidates suitability for a role or organization. These tests provide quantifiable scores and data with which to base hiring decisions, meaning they can help recruitment teams to make more informed decisions. Psychometric tests can be used to measure an array of skills and attributes, from critical reasoning, verbal and mathematical ability to emotional intelligence and soft skills such as communication and time management. They can be broadly classified as one of two categories: aptitude tests and personality tests.

Psychometric tests are the most powerful and valid predictors of job performance available today and are over 14 times better at predicting job performance than the average selection interview. As a standardized testing method, psychometric tests offer a highly effective way of predicting how effectively a candidate will perform in their new job. This makes psychometric testing ideal for pre-employment screening, high volume recruitment, or in busy human resources departments.

However, it is important to understand that psychometric tests are not a perfect indicator of an individuals suitability for a job. The reliability of a test depends on several factors including the quality of the test and how well it has been validated. Psychometric tests can certainly yield some compelling insights, but it is important to remember that when these tests were first developed, they were being used by doctors, researchers, and psychiatrists.

In summary, psychometric testing in recruitment refers to a variety of tests and tools that measure a candidates suitability for a role or organization. They are the most powerful and valid predictors of job performance available today and can be used to measure an array of skills and attributes. However, it is important to understand that they are not a perfect indicator of an individuals suitability for a job, and the reliability of a test depends on several factors including the quality of the test and how well it has been validated.