Equal Pay Methods – Continued | Expert Perspective

This meeting focuses on Equal Pay issues in practice and is a follow up to an earlier meeting on this topic delivered in January.

Henrieke van Bommel and Lea Thormalen will explore analyses methods for smaller groups, how to handle individual information requests, and the risks and dilemmas this may create for both employees and organizations.

The session provides insights into how to approach compensation issues in a careful, transparent, and future-proof way, also in preparation for (tightened) regulations.

Preparing for the EU Pay Transparency Directive requires more than calculating a pay gap. Organizations need a structured approach that combines robust job architecture, transparent pay practices, reliable data, and analytical methods that fit the characteristics of the workforce being examined. A key theme of the session was that statistical outputs should support professional judgment, not replace it.

The discussion emphasized that organizations should focus on understanding the source of pay differences before attempting to explain them. By combining peer-group governance, component-level analysis, privacy considerations, and proportionate analytical methods, organizations can create a repeatable and defensible approach to pay transparency and equal pay reviews.

Key Takeaways

• Use statistical models as evidence, not proof.
  A model may generate an adjusted pay-gap figure even when the underlying population is too small, unbalanced, or lacking sufficient overlap. Organizations should first assess group composition, data quality, representation, and outlier influence before relying on statistical conclusions.
• Build peer groups around work of equal value.
  Peer groups should be rooted in career frameworks, job evaluation, and job levels rather than being designed primarily for statistical convenience. Larger groups can improve analysis, but combining different job levels simply to increase numbers may undermine the validity of the comparison.
• Identify where the gap actually exists.
  Annual pay, hourly pay, base salary, allowances, and variable remuneration can tell very different stories. Organizations should locate the difference first and then investigate the specific pay component responsible rather than attempting to explain a combined total figure.
• Match methodology to the available evidence.
  Large and balanced populations may support advanced statistical modeling, while smaller or highly skewed groups may require focused analysis, sensitivity testing, employee matching, or one-to-one review. Strong conclusions require strong evidence.
• Prepare for transparency as a governance process.
  Successful compliance depends on documented peer-group definitions, clear communication, privacy safeguards, repeatable review procedures, and the ability to explain decisions to employees and the Works Council. Transparency is as much about communication and governance as it is about analytics.

Reflection for HR and Reward Professionals

• Are our peer-group definitions sufficiently documented and defensible?
• Can we clearly explain the difference between annual pay, hourly pay, base pay, and variable pay?
• Do we have reliable data to support objective explanations for pay differences?
• Are we using the most appropriate analytical method for each population?
• Can employees and employee representatives understand and trust our approach?

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