One of the key benefits of predictive analytics in recruitment is that it can help reduce bias and increase the fairness of the hiring process. By using data-driven insights to evaluate candidates, recruiters can reduce the impact of subjective bias and focus on the qualifications and attributes that are most strongly associated with job performance.

What tools are available for predictive analytics AI?

Predictive analytics tools can use a variety of data sources to assess candidate qualifications, including CVs, applications and assessments. These tools can analyse candidate data to identify patterns and trends, and use machine learning algorithms to predict which candidates are most likely to succeed in a role.

There are many different predictive analytics tools on the market, each with their own strengths and weaknesses. To choose the best tool for your organisation, it is important to understand your specific needs and requirements.

Here are some examples of predictive analytics tools that can be used in recruitment:

TalentSorter uses a personality assessment tool and a custom algorithm to analyse candidate data and predict job performance. The tool is designed to identify the core personality traits that best predict success in a role.