Free Pay Equity Audit Checklist: 9 Steps in the Right Order
Date Published
Free Pay Equity Audit Checklist: 9 Steps in the Right Order
Most pay equity audits fail before anyone opens a spreadsheet. They fail because the team groups jobs by title instead of by content, or because nobody looped in counsel until after the findings landed in a shared drive. By then the analysis is discoverable, the job groupings are indefensible, and the remediation budget is a guess.
This checklist fixes the sequencing. It walks the nine steps in the order that keeps your work defensible — privilege first, job architecture second, statistics third, and remediation last. Work it top to bottom and you will finish with a documented, repeatable process rather than a one-off report that raises more questions than it answers.
Copy the steps below into your project tracker and check them off as you go.
TL;DR
- Engage counsel and define the legal purpose before you pull any data — privilege is established at the start, not retrofitted.
- Group jobs by skill, effort, responsibility, and working conditions, not by title or department.
- Run unadjusted and adjusted gaps separately; the difference tells you where to look.
- Budget remediation before you finish the analysis, and never fix a gap by cutting someone's pay.
- Document every decision — the memo you write today is the defense you file in three years.
The 9-Step Pay Equity Audit Checklist
1. Engage counsel and document the legal purpose
Retain outside or in-house counsel and put the engagement in writing before data collection starts. State that the analysis is being conducted at the direction of counsel to provide legal advice. Label every artifact — including drafts and emails — "Confidential: Attorney-Client Privileged / Attorney Work Product." Keep the working group as small as the work allows.
2. Define scope, population, and time period
Decide which entities, countries, and employee populations are in scope. Pick a single effective date for compensation data so you are not comparing March salaries to November salaries. Confirm whether you are covering base pay only or total cash — bonuses, commissions, and equity all count as compensation under federal law.
3. Clean the data before you analyze it
Pull job title, job code, level, location, tenure, time in role, performance rating, FLSA status, base pay, and variable pay. Then fix the obvious problems: duplicate job codes, employees mapped to defunct levels, and blank manager fields. Bad data produces confident, wrong answers.
4. Build defensible job groupings
This is the step that decides whether the audit survives challenge. Group jobs by the work itself using skill, effort, responsibility, and working conditions — the same four compensable factors the Equal Pay Act uses. A quantitative point-factor method gives you scores you can point to when someone asks why a Staff Accountant and a Payroll Specialist sit in the same comparison group.
If your job architecture cannot answer "why are these two jobs comparable?" with evidence, stop and fix that first. Book a 20-minute walkthrough and we will show you how PointFactors scores a job group in under an hour.
5. Calculate the unadjusted gap
Run raw median and mean pay by gender, and by race and ethnicity where you legally can. This number will look bad, and that is fine — the unadjusted gap measures representation, not discrimination. Nationally, women earned a median of $1,089 per week in 2025, or 82.1% of the $1,326 men earned, and most of that gap reflects who holds which jobs.
6. Run the adjusted analysis
Regress pay against your legitimate explanatory factors: job group, level, location, tenure, and performance. Include gender and race as variables. What remains unexplained after controlling for legitimate factors is your risk. Flag any group where the unexplained difference is statistically significant, and flag individual outliers even when the group looks clean.
7. Investigate every flagged result before you act
Statistics identify questions, not answers. For each flag, ask whether a documented reason exists — a recent promotion, a market premium, a red-circled salary from an acquisition. Federal law permits pay differences based on seniority, merit, quantity or quality of production, or a factor other than sex, but the burden of proving one of those defenses sits with the employer.
8. Remediate, and budget for it
Fix unexplained gaps with upward adjustments only. Lowering someone's pay to close a gap violates the Equal Pay Act. Sequence the increases if the total exceeds your budget, and document the sequencing logic. Then fix the upstream cause — starting-salary approval rules, promotion increase guidelines, or the manager discretion band that created the spread.
9. Document everything and set the next date
Write a memo covering scope, methodology, groupings, findings, decisions, and remediation. Keep it privileged. Then calendar the next audit. Annual is the standard cadence; run it more often if you are hiring fast or acquiring companies.
Pay Equity Audit Checklist FAQ
How long does a pay equity audit take? For an organization under 1,000 employees with clean data, four to six weeks is realistic. Job grouping usually consumes half of that. Organizations without a documented job architecture should add two to four weeks.
Do we need a lawyer? If you want privilege, yes — and privilege only attaches when counsel directs the analysis for the purpose of giving legal advice. An audit run by HR alone and forwarded to a business leader is generally discoverable.
What is the difference between a pay equity audit and a pay equity analysis? In practice they describe the same work. "Audit" tends to signal the full end-to-end process including remediation; "analysis" often refers to the statistical step alone. Our pay equity analysis guide covers the modeling in detail.
Is pay equity the same as internal equity? No. Pay equity is a regulatory concept about protected classes. Internal equity is about whether your pay structure is internally consistent. See pay equity vs pay equality for the distinctions.
How small can a comparison group be? Regression needs roughly 30 employees per group to produce stable results. Below that, use cohort review and pairwise comparison instead of running a model you cannot defend.
What if we find a large gap? Finding it is the point. Fix it, document why it existed, and change the process that produced it. An unremediated known gap is far worse in litigation than a remediated one.
Should we publish the results? Be careful. Public statements about methodology or findings can waive privilege. Publish a policy commitment if you want; keep the analysis itself inside the privileged group.
Run the checklist on a job architecture that holds up
Every step above depends on step 4. If your job groupings rest on titles, your statistics inherit that weakness and your remediation targets the wrong people. PointFactors scores jobs against weighted compensable factors so your comparison groups come with evidence attached — and so next year's audit takes days instead of weeks.
See how it works — book a demo, or start with the full step-by-step pay equity audit guide.
Sources: EEOC — Questions and Answers About the Equal Pay Act, EEOC Compliance Manual Section 10: Compensation Discrimination, U.S. Bureau of Labor Statistics — Median weekly earnings were $1,204 in 2025
Justin Hampton is founder and CEO of PointFactors.