Audit Period:
Audit Lead:
Legal Counsel:
Employee Population Size:
Audit Preparation & Scoping
Clearly establish which employee populations, job categories, and protected classes will be examined in the pay equity analysis.
Retain an employment attorney to direct the audit so findings may be protected under attorney-client privilege.
Bring together representatives from HR, legal, finance, and data analytics to collaboratively conduct the pay equity review.
Create a detailed project plan with specific deadlines for data collection, analysis, review, and remediation phases.
Research federal, state, and local pay equity laws that apply to your organization based on location and industry.
Data Collection & Preparation
Pull complete pay records including base salary, bonuses, equity grants, and all other forms of compensation for every employee.
Collect relevant demographic data such as gender, race, ethnicity, and age for each employee in the audit population.
Assemble data on job title, level, department, location, tenure, education, and relevant experience for statistical analysis.
Audit the collected datasets for missing values, errors, and inconsistencies before proceeding with the statistical analysis.
Ensure all roles are consistently mapped to job families and levels so that meaningful comparisons can be made.
Define the peer groups of similarly situated employees who perform substantially similar work for valid pay comparisons.
Statistical Analysis
Run multivariate regression models to identify statistically significant pay differences after controlling for legitimate pay factors.
Calculate and examine the raw and adjusted pay differences between male and female employees at each job level.
Evaluate compensation differences across racial and ethnic groups to identify potential disparities requiring further investigation.
Look at pay differences for employees who belong to multiple protected classes to uncover compounding equity issues.
Flag individual employees or groups whose pay deviates significantly from predicted values based on the regression model.
Record the non-discriminatory reasons such as performance, experience, or market premiums that explain identified pay differences.
Findings Review & Remediation Planning
Compile the analysis results into a clear report that highlights areas of concern, risk levels, and recommended actions.
Rank identified disparities by severity and legal risk to determine which adjustments should be addressed first.
Estimate the total financial investment required to close identified pay gaps through salary increases for affected employees.
Create a timeline for implementing pay adjustments that balances urgency with budget constraints over multiple pay cycles if needed.
Discuss the audit results and proposed remediation plan with your attorney to assess legal exposure and strategy.
Implementation & Corrective Actions
Enter all approved salary corrections into the payroll and HRIS systems with the designated effective date for processing.
Notify employees receiving pay equity increases about their new compensation while framing it positively and professionally.
Revise hiring, promotion, and salary-setting policies to embed pay equity safeguards into ongoing compensation practices.
Educate managers on how unconscious bias affects pay decisions and provide tools for making equitable compensation recommendations.
Implement review steps during the offer approval process to ensure new hire salaries are consistent with internal equity.
Ongoing Monitoring & Compliance
Set a regular cadence for future audits, such as annually or semi-annually, to continuously monitor and address pay equity.
Deploy analytics dashboards that flag potential pay disparities as they emerge from ongoing compensation transactions.
Monitor legislative developments at federal, state, and local levels to ensure your practices remain compliant with new requirements.
Provide regular updates to executive leadership and the board on pay equity progress, risks, and remaining gaps.
Preserve all analysis, findings, and remediation records in a secure and organized manner for potential regulatory inquiries.
A pay equity audit checklist is a tool that assists in reviewing and correcting any differences in remuneration within an organization that exist based on gender, race, ethnicity, and many other aspects that fall into categories protected from discrimination under labor law. The checklist includes collecting information about compensation, conducting necessary statistical calculations, designing remediation strategies, and monitoring.
The issue of pay equity is not only a legal requirement but also plays an important role in creating an equal environment where everyone is treated equally and feels that their work and contribution to the company matter. Without conducting regular audits, pay inequalities might go unnoticed and lead to legal trouble, a bad reputation, and decreased motivation of the employees.
This checklist includes audit scoping, data collection and sanitization, job clustering, and statistical analyses. It also includes topics related to the identification of legitimate pay drivers and pay gaps that are not justified. Moreover, this checklist discusses methods for devising budgets for correcting any identified problems. There are also discussions about legal privilege, communications, and the development of monitoring procedures.
Modify this checklist according to the size, complexity, and regulations of your organization. Selecting the Brief or Detailed toggle provides an overview of the audit or detailed steps on how to perform the analysis. Download the checklist and work with your legal counsel, compensation professionals, and data analysts in performing this analysis.
Adithyan RK is the Co-Founder and CEO of Hyring, an AI-native recruitment platform that has run over 900,000 AI interviews for companies ranging from early-stage startups to the Fortune 500. He has spent 18 years building technology businesses, starting with a digital consultancy in 2008 and a staff augmentation firm in 2017, before founding Hyring in 2022 to rebuild hiring around evidence instead of guesswork.
Expertise
Surya N is the Co-Founder and CTO of Hyring, where he architected the AI interviewing engine that has now conducted over 900,000 interviews for companies ranging from early-stage startups to the Fortune 500. A mechanical engineer who moved into artificial intelligence, he spent 6 years building AI applications inside a technology consultancy before co-founding Hyring, and wrote the first version of its AI interviewer from scratch: a system that listens, adapts its questioning in real time, and flags fraud rather than following a fixed script.
Expertise