A Pay Equity Audit Example for UK Employers

A pay equity audit example is most useful when it shows more than a headline gap. Senior leaders need to see whether pay differences can be explained by legitimate, consistently applied factors, where risk remains, and what action will improve fairness without creating unnecessary cost or governance issues.

For UK employers, this matters beyond annual gender pay gap reporting. Gender pay gap data describes workforce representation and average pay outcomes. A pay equity audit tests the pay received by people doing equal work, work rated as equivalent or work of equal value. Done well, it gives the organisation clarity on potential equal pay risk, confidence in pay decisions and a practical route to stronger reward governance.

What a pay equity audit examines

A credible audit starts with a clear question: are employees who perform comparable work paid fairly when relevant differences are taken into account? The answer cannot be found by comparing job titles alone. Titles are often inconsistent, particularly after acquisitions, rapid growth or decentralised pay decisions.

The analysis should therefore bring together job architecture, employee pay data and the factors that legitimately influence pay. These may include job level, scope, performance, relevant experience, location, scarce skills, working pattern and contractual allowances. Whether a factor is appropriate depends on the role and the employer's documented pay principles. A factor that appears reasonable in isolation may not be defensible if it has been applied inconsistently.

The audit should also distinguish between different elements of reward. Basic salary is usually the starting point, but employers should consider allowances, bonuses, commission, overtime, shift premia, share plans and benefits where they form a material part of the reward proposition. The right scope depends on the workforce and the risk profile.

A practical pay equity audit example

Consider a UK technology and professional services employer with 900 employees. It has grown through recruitment and two acquisitions, and its Board wants assurance that its pay approach remains fair before introducing more transparent salary ranges.

The organisation has a reported gender pay gap, with women under-represented in senior technical and commercial roles. That result is a prompt for investigation, but it does not establish unequal pay. The audit therefore focuses on employees in comparable jobs, beginning with basic salary and then reviewing variable pay separately.

Step 1: Create a reliable employee and reward dataset

The employer extracts employee data as at a defined snapshot date. This includes gender, ethnicity where disclosure is sufficiently complete, age, department, location, job title, grade, manager, start date, full-time equivalent salary, actual salary, bonus opportunity and payments, allowances, performance rating and working pattern.

The first finding is a data issue rather than a pay issue. Around 70 employees have legacy job titles that do not map cleanly to the current grading framework. Several technical employees have individual market supplements, but the reason and review date are absent from the HR system. The audit team resolves these points before drawing conclusions. Analysing incomplete or poorly classified data can create both false reassurance and false alarms.

This stage also requires careful treatment of part-time employees and those on leave. Comparing actual pay rather than full-time equivalent pay would distort base salary results. Employees on statutory or family leave may need separate handling, particularly where bonus outcomes are affected by time worked or scheme rules.

Step 2: Define valid comparison groups

The employer's job evaluation framework groups roles into seven levels. Within each level, roles are also assigned to job families, such as software engineering, client delivery, sales, corporate functions and leadership. This produces more meaningful comparison groups than a whole-company average.

For example, a Level 4 software engineer should not automatically be compared with a Level 4 sales manager. Their jobs may be evaluated at the same organisational level, but their labour markets, incentive arrangements and skill scarcity can differ materially. The appropriate comparison depends on the organisation's job architecture and pay policy.

Where the framework is not sufficiently mature, the audit may need role-by-role evaluation before statistical analysis. This takes longer, but it avoids treating inconsistent job titles as evidence of equivalent work.

Step 3: Test unexplained pay differences

Within the Level 4 software engineering group, the employer identifies 84 employees: 25 women and 59 men. Median full-time equivalent base salary for women is 4.8% lower than for men. That figure deserves attention, but it is not yet an equal pay finding.

The next analysis considers factors that the employer says influence salary: career level within the grade, relevant engineering experience, location and documented market supplements for particular cloud security skills. Once these are accounted for, the remaining average difference is 1.6% and is not statistically meaningful for the size of the group.

However, the detailed review identifies five individual cases in which women are paid below male peers with comparable level, experience and responsibilities. In three cases, salary history from external recruitment has been allowed to drive initial offers. In two cases, male employees received retention increases without a documented market review. These cases require management review even though the group-level statistical result is less pronounced.

The sales population presents a different issue. Base salary differences are modest, but women receive lower average commission payments. The audit finds that account allocation, territory maturity and access to larger renewal opportunities are contributing factors. This is not solely a payroll question. It requires a review of sales planning, opportunity allocation and incentive governance.

Step 4: Assess whether explanations are defensible

An employer should not assume that an explanation is legitimate simply because it is commercially familiar. A market premium can be justified where there is evidence of scarcity and a clear review mechanism. A retention payment may be appropriate during a critical business period. Performance-related pay can be valid where objectives and assessment are applied consistently.

The key test is whether the factor is genuine, relevant to the role or employee, proportionate and applied without discrimination. Documentation matters. If the business cannot explain why one employee received a supplement, how it was calculated or when it will be reviewed, the rationale is weak from both a governance and legal-risk perspective.

Legal advice may be appropriate where the audit identifies material unexplained differences or a pattern affecting a protected group. The audit itself should be conducted with a clear purpose, controlled access to sensitive data and an agreed escalation process.

Turning findings into a controlled action plan

The employer in this pay equity audit example does not respond by making broad, untargeted salary increases. That could create cost pressure, compression and new inconsistencies. Instead, it agrees a prioritised plan with named owners and clear timescales.

The five individual engineering cases are reviewed immediately, with pay corrections where the evidence supports them. Existing market supplements are recorded, given expiry dates and brought into a six-monthly review cycle. Recruitment teams receive salary range guidance and approval requirements for offers outside the range.

For sales, the business introduces clearer criteria for territory allocation and reviews whether the incentive plan creates unequal access to earnings opportunity. It also monitors commission outcomes by gender and ethnicity at each sales level. This recognises that pay equity cannot be maintained through base salary controls alone.

At a broader level, the organisation strengthens its job levelling framework, publishes pay range principles for managers and adds reward sign-off to material pay decisions. The Board receives a concise report covering methodology, key findings, financial exposure, remediation progress and the areas requiring ongoing oversight.

What makes the audit credible to the Board

Boards and RemCo stakeholders do not need every data point. They need confidence that the work is methodical, the conclusions are proportionate and the response is controlled. A useful report explains the population reviewed, comparison methodology, pay elements included, significant limitations and the distinction between observed gaps and unexplained differences.

It should also be clear about what the organisation does not yet know. Ethnicity analysis, for example, may be limited by low declaration rates in some groups. A small comparison population may make statistical conclusions less reliable. These limitations do not justify inaction, but they should shape how findings are interpreted and where further data improvement is needed.

A pay equity audit is not a one-off compliance exercise. Pay decisions change with hiring, promotion, reorganisations and market pressure. Employers with the strongest control environment build equity checks into annual pay reviews, recruitment approvals, promotion processes and incentive governance.

The most valuable outcome is not a report that says there is no issue. It is a reward framework that enables leaders to make pay decisions with evidence, consistency and confidence - while giving employees a clearer sense that fairness is being actively managed.