AI candidate scoring: every profile ranked by fit

Check four things. Criteria: you should see which requirements and values each candidate is scored against, and be able to change them. Explanation: every score should come with the reason it was given, so a recruiter can challenge it. Consistency: the same profile against the same criteria should land in the same range. Outcomes: compare the shortlists you approved with how those hires turned out. In Mainder, each score comes with the strengths and risks behind it, and the scoring criteria stay editable on the job, so you can audit a score and rescore after adjusting them.

Predictive hiring uses past outcomes to estimate how likely a candidate is to succeed in a role, instead of relying on how a CV reads. Mainder scores every candidate against your role requirements, your company values and historical success patterns, and becomes more accurate with each placement because it learns from your hiring decisions and client feedback.

Quality of hire can only be confirmed after the fact, by whether the person stays and performs, so the useful work is connecting that outcome back to the signals that predicted it. Mainder keeps the score, the criteria and the decision attached to each candidate, so you compare the shortlist you approved against how those hires actually turned out and correct the criteria instead of arguing from anecdotes.

It removes one specific source of bias: the inconsistency of evaluating candidates differently depending on who reviews them and when. Mainder scores every profile against the same explicit criteria, the role requirements and your company values, and records why each score was given, so the reasoning stays auditable. Human judgement and your own fairness policy still apply; scoring only makes the criteria visible enough to be challenged.

By ranking before you read. Mainder returns match percentages that surface the strongest candidates already in your database before anyone reviews them manually, which cuts time to shortlist by around four times and stops strong profiles from staying buried under volume.