75th percentile.
75% correct?

A percentile describes relative position within a reference group. For example, a candidate at the 75th percentile scored above 75% of that documented group. It does not mean they answered 75% of questions correctly or have a 75% chance of succeeding in the job.

Compare results only when test versions, scoring rules and reference groups are appropriate. A score without its norm group can suggest more precision than the evidence supports.

HireValid plans to use pilot data and suitable Intellect Council reference data where available. No live norm sample size or validation result has been supplied for this website. The endorsement describes the intended relationship, not proof of a completed norming study.

Before releasing percentile reports, the team needs to document sample recruitment, representation, sample size and the limitations of each norm group. Early norms should be clearly labeled and refreshed as appropriate data accumulates.

The planned initial approach uses classical test theory: correct responses, item difficulty and discrimination. A scaled score can summarize test performance. Overall assessment scores may combine tests with explicit weights.

Writing tasks require an explicit rubric and human review of AI-assisted scores. Employers should be able to inspect the rationale rather than receiving an unexplained number.

Use a reference population that makes sense for the question you are asking. A broad working-population comparison is different from a role-specific applicant comparison. Neither should be treated as a universal pass mark.

Review item performance and group differences over time. Keep norm versions in reports so a later update does not silently change the meaning of an earlier hiring decision.