NLP models learn from data fed into them. Any biases in the training data are generally compounded and made worse.
Many vendors will train their models using ratings provided by human evaluators for each interview. Unfortunately, this perpetuates the same biases we want to remove.
Existing cognitive or game-based assessments claim to promote diversity by eliminating bias. In reality these assessments create misleading results since they contain limitations for predicting job performance and increasing diversity.
Knockri goes beyond “good psychometrics" and effectively drives DEI metrics for your organization.
While structured behavioural interviews are most accurate in predicting top diverse talent, they are traditionally very costly and time-intensive which makes them difficult to deploy at scale
Knockri makes these assessments accessible with our automated behavioural identification and analysis system
This makes it possible to deploy a well-designed structured behavioural interview at a fraction of the cost.
While these efforts have pushed the needle, they do not eliminate bias from the hiring process.
Knockri avoids all of these biases by fully automating a structured behavioural interview process from job analysis to scoring. Full automation ensures that none of the typical limitations of interviewer ratings are present in the assessment administration or scoring.