Objective and gender-neutral job classification
The EU Pay Transparency Directive requires job evaluation to be demonstrably objective and gender-neutral. If your system doesn't meet this standard, the burden of proof shifts to you as the employer. But what does that mean exactly, and how do you approach it?
Last update: February 24, 2026 · Reading time: 7 minutes
What does the law say about objective classification?
“The directive defines gender-neutral job evaluation as a system based on gender-neutral criteria that excludes gender bias and discrimination.”
EU Richtlijn 2023/970
The Pay Transparency Directive sets clear requirements for how jobs are evaluated and classified.
Gender-neutral criteria
Job evaluation must be based on criteria that do not directly or indirectly discriminate on the basis of gender (Directive 2023/970, Article 4(4)).
Objective and transparent methodology
The evaluation systems used must be objective, transparent and free from gender bias (Directive 2023/970, recital 26).
Equivalent work
Positions with different content can be legally equivalent. The evaluation must correctly reflect this (WGBMV Article 7).
Reproducibility
The outcomes must be reproducible: the same input always leads to the same classification, regardless of who performs the evaluation.
Burden of proof on employer
When discrimination is suspected, the employer must demonstrate that job evaluation is objective and gender-neutral (WGBMV Article 12).
What makes job evaluation biased?
Many common systems contain blind spots that lead to unequal evaluation.
Gender stereotypes in criteria
Physical demands are weighted more heavily than emotional demands, causing typically female roles to be systematically undervalued.
Subjective weighting factors
When criteria weighting is not documented or depends on individual assessors, unconscious bias creeps in.
Inconsistent application
The same role is evaluated differently across departments or locations, without objective justification.
Historical pay patterns
Classification based on previous salary or market conformity reproduces existing pay inequality rather than correcting it.
How Payqual implements objective classification
Payqual uses a structured questionnaire based on the GRADAR method. For each position, the same set of objective, gender-neutral questions is answered. Based on the outcomes, positions are automatically clustered into groups of equivalent work.
Load job description
The existing job description is loaded into Payqual. This forms the basis for the evaluation.
AI completes the questionnaire
Based on the job description, AI automatically completes the GRADAR questionnaire. This is not yet validated, but provides a starting point so you don't start from scratch.
Works council validates the outcome
The works council reviews the completed questionnaire and determines whether the evaluation is correct. The classification only becomes final after approval.
The GRADAR method ensures that every position is assessed on the same objective criteria, regardless of who performs the assessment. This makes the outcome reproducible and demonstrably gender-neutral.
No duplicate work
Already have functions that have been evaluated and clustered? Cluster Connect loads them directly, so you can build on existing classifications. No manual reclassification, no duplicate time investment.
Pre-evaluated functions
Start with functions that have already been objectively evaluated according to gender-neutral criteria.
Smart clustering
Functions are automatically clustered based on equivalent work, in accordance with the directive.
Immediate time savings
Save weeks of manual work by building on existing, validated classifications.
Ready for objective job evaluation?
Discover how Payqual helps your organisation classify jobs in a gender-neutral and demonstrably objective way.