How to Run Pay Equity Analysis Properly

A pay equity review rarely fails because the data is too complex. It usually fails because the organisation starts with the wrong question. If your team is asking how to run pay equity analysis, the real objective is not simply to find pay gaps. It is to establish whether people doing work of equal value are paid fairly, understand what explains any differences, and decide what action is commercially and legally appropriate.

That distinction matters. A headline gender pay gap report can tell you there is a distribution issue across the workforce. A pay equity analysis goes further. It tests whether differences in pay exist between comparable employees after accounting for legitimate factors such as job level, scope, location, performance, tenure or scarce skills. For employers under pressure from boards, employees, regulators and investors, that level of precision gives far more useful insight.

How to run pay equity analysis with the right scope

Before any modelling starts, define the question properly. Are you assessing gender, ethnicity, disability or another protected characteristic? Are you reviewing base salary only, or total cash, allowances, bonus and long-term incentives as well? Are you examining one legal entity, the UK workforce, or a wider international population?

Scope drives validity. If the workforce is analysed too broadly, the outputs become blunt and difficult to interpret. If the scope is too narrow, the results may miss structural issues. In practice, many employers begin with UK base pay and then expand into bonus opportunity, realised pay, or senior leadership populations once the approach is established.

It is also essential to decide what pay equity means in your organisation. Some employers want a compliance-focused review. Others are looking for a governance framework that can support fairer pay decisions over time. The strongest analyses do both. They test current outcomes and improve future decision-making.

Start with job architecture, not spreadsheets

A credible pay equity analysis depends on like-for-like comparisons. That sounds obvious, but many organisations attempt analysis before they have a stable job architecture. If roles are poorly levelled, inconsistently titled, or grouped according to legacy structures, the analysis may compare jobs that are not genuinely equivalent.

This is why job evaluation and levelling often come first. You need confidence that employees have been mapped into sensible comparator groups based on the size and value of the role. For some employers, that means using established job levels. For others, it means cleaning up grades, standardising job families and testing manager allocations.

Without that foundation, the output can create noise rather than clarity. A model may show a pay difference, but if one population includes broader roles or stronger incumbents, the result will be challenged immediately. Senior stakeholders will rightly ask whether the issue is pay inequity or weak role design.

Build a defensible data set

Once scope and role architecture are clear, gather the data needed for analysis. At a minimum, this usually includes employee ID, gender and any other protected characteristic being reviewed where data is held lawfully and sufficiently, salary, bonus, job title, grade or level, business area, location, full-time equivalent status, hire date and performance history where relevant.

Data quality is often the limiting factor. Missing demographic data, inconsistent grade fields, duplicated records and outdated salaries can distort findings. It is worth taking time to validate the file before analysis begins. Check whether salary reflects actual pay, whether allowances sit outside base pay, and whether any populations such as recent joiners, international assignees or commission-led roles need separate treatment.

There is also a judgement call around which factors should be included in the analysis. Some variables may explain differences in pay, but that does not automatically mean they should be treated as legitimate. If, for example, career progression has historically been uneven, controlling too aggressively for career path can hide an underlying fairness issue. This is where reward expertise matters. Good analysis is not only statistical. It is interpretive.

Choose a methodology that can stand up to scrutiny

When considering how to run pay equity analysis, methodology should match the organisation’s size, structure and level of risk. There is no single model that suits every employer.

For smaller or less mature organisations, descriptive analysis may be the right starting point. This looks at median and average pay by level, function and demographic group to identify obvious differences. It is useful, but limited. It shows what is happening, not necessarily why.

For larger organisations, regression analysis is often the stronger approach. It allows you to test whether pay differences remain after controlling for relevant factors. If a statistically significant gap persists for gender or ethnicity within comparable roles, that is a stronger indicator of potential equity risk.

Even then, caution is needed. Regression is powerful, but it is not infallible. Small populations can produce unstable results. Inconsistent levelling can weaken the model. And some employee groups may be too concentrated in specific areas to allow meaningful comparison. That does not mean the issue disappears. It means the result needs careful interpretation alongside broader workforce evidence.

How to interpret findings without overreacting

The most useful pay equity analysis does not stop at identifying a gap. It segments the findings into clear categories: explainable differences, areas requiring further review, and potential inequities needing action.

Some pay variation will be legitimate. Market premiums for scarce technical roles, clearly evidenced performance differentiation, geographic pay differences and progression through a defined pay range may all be justified. But justification must be real, documented and consistently applied. If the reason exists only in anecdote, it will not stand up well internally or externally.

Pay equity analysis also highlights structural issues that are not always visible in individual pay decisions. You may find that starting salaries vary too widely by manager, that promotion increases are inconsistent, or that certain groups are clustered at the lower end of the pay range despite similar tenure and performance. These patterns matter because they show where inequity can compound over time.

This is also the stage where governance becomes critical. A statistically significant result does not always require immediate adjustment for every individual. Equally, a non-significant result does not guarantee there is no problem. Context matters. Materiality matters. Legal advice may matter. Senior judgement certainly does.

Turn analysis into action

A pay equity review has little value if it ends with a report deck and no ownership. Once findings are validated, agree a practical response plan. That may include targeted salary adjustments, changes to hiring controls, clearer promotion criteria, tighter pay range governance or a broader redesign of job architecture.

For some organisations, immediate remediation is appropriate, particularly where there are clear outliers with no defensible rationale. For others, the right response is phased. Budget constraints, internal relativities and market positioning all need to be considered. Acting too slowly creates risk, but acting without a framework can create new inconsistency.

This is why the strongest employers treat pay equity as an ongoing discipline rather than a one-off exercise. Annual analysis, supported by defined governance, is usually more effective than occasional deep reviews. It allows issues to be identified earlier, before they become larger employee relations or reputational concerns.

Embed governance around future pay decisions

If the same decision-making habits remain in place, gaps will reopen. Pay equity is sustained through governance, not goodwill. Employers need clear controls around starting salary decisions, in-role increases, market adjustments, promotions and bonus allocation.

That does not mean removing managerial discretion altogether. It means setting boundaries and requiring evidence. Managers should understand where pay sits against range, what level of flexibility is acceptable, and when approval is needed. Reward and HR teams should be able to challenge exceptions with confidence.

Boards and RemCos increasingly expect this level of discipline. They do not just want assurance that a review has been completed. They want confidence that reward decisions are structured, explainable and aligned to the organisation’s fairness commitments and risk appetite.

Common mistakes when running pay equity analysis

The most common mistakes are predictable. Employers compare unlike roles, rely on poor-quality data, control for too many variables, treat statistics as the whole story, or fail to plan remediation before results are shared. Another frequent issue is limiting the analysis to salary when bonus, allowances or incentives may be creating the real disparity.

There is also a communication risk. If the purpose of the analysis is unclear, stakeholders can quickly confuse pay equity with pay gap reporting or expect simple answers to complex patterns. Senior leaders need a clear narrative around methodology, limitations and actions. Precision builds trust.

For organisations that want both technical accuracy and practical judgement, external specialist support can be valuable. Firms such as Indigo Reward help employers combine analytics, job architecture and governance so the work leads to action, not just data.

A well-run pay equity analysis gives you more than a fairness snapshot. It gives you a stronger basis for pay decisions, sharper governance and greater confidence when scrutiny arrives. Start with comparability, test the evidence carefully, and use the findings to make pay practice more disciplined than it was before.