Written by: barbara-hyman
How Ai can build equity in hiring for the future
Traditional psychological assessment has reduced the hiring and promotional error rate in modern businesses successfully for decades. They have also been used extensively to identify ‘hidden talent’ or ‘potential’ in people with limited work experience such as graduates, and also applied as a means for identifying future leaders at different levels of seniority, as well as in succession planning.
Psych testing is essentially an old-school form of predictive analytics, but they are limited in insight, providing a test of your ability to do a test. That’s it. Traditional psychological assessments do not link to actual performance in the role, nor do they have any self-learning functionality. There is no performance data that feeds into psychological assessments and therefore they have limited predictive power and no learning capability.
The worst aspect of psych tests is that you need multiple tests to test for multiple attributes. This is because they are just not that smart. This is where innovation necessarily disrupts an old formula. The difference lies in the data – volume and variance. A psych test is usually multi-choice questions repeated in different ways to achieve validity. You and I might pick the same option for each question and the only way to distinguish between you and me is to ask us a lot of questions and hope we pick some that are different to recognise our differences.
Data that comes from free-text answers to open-ended questions is by definition going to be hugely varied. A question like ‘what’s a favourite experience of working in a team’ asks us to each delve into our own personal experience, a behavioural interview question which means our answers will naturally be different.
This formula of using data that is uniquely personalised delivers variance that psych tests just can’t deliver. Ever. When it comes to developing an Ai based assessment the questions that a candidate is asked, and the answers to the questions are suitably diverse, psychologically robust and designed with the same rigour in standardised Psychological assessments.
With the processing power and advances in Natural Language Processing (natural language being the origin of all psych tests) instead of having to force a candidate through multiple tests you can distil many attributes from one test. That test is usually 20 minutes, asks 5 questions, with up to 80 features able to be discovered about that candidate including their critical thinking, their drive, self-awareness, accountability and team orientation, their propensity to stay in a role or not, their HEAXCO traits and their communication skills.
The ability to better understand individuals based on their answers to questions means we can provide accurate and insightful feedback to everyone within a couple of hours. Feedback allows everyone the opportunity to be heard, understood and cared for. This is equity.