Job Fit Score is a numerical rating that reflects how closely a candidate aligns with the requirements of a specific role. It considers factors like skills, experience, personality traits, and cultural fit. AI-powered recruitment platforms such as Freddie AI calculate this score by analyzing data from resumes, assessments, interviews, and behavioral signals.
The model can be customized to emphasize different attributes depending on the role, for example, technical expertise for engineering positions or interpersonal skills for customer-facing jobs. A high Job Fit Score allows recruiters to quickly spot top candidates, reducing time-to-hire and improving the overall quality of hires.
Because the evaluation criteria are applied consistently, automated scoring also supports fairness by minimizing human bias and ensuring that hiring decisions are data-driven.
A Job Fit Score is a numerical rating that indicates how well a candidate matches a specific role based on skills, experience, cultural fit, and other defined criteria. AI-powered recruitment platforms like Freddie AI calculate this score using data from resumes, assessments, interviews, and behavioral analyses. The scoring model can be tailored to prioritize different attributes depending on the role, for example, technical skills for engineering positions or soft skills for customer-facing roles. A high job fit score helps recruiters quickly identify top candidates, reducing time-to-hire and improving overall hiring quality. Automated scoring also promotes fairness by applying the same evaluation standards to all applicants, minimizing human bias and ensuring that hiring decisions are data-driven.
