Pay Equity Audit Checklist Template
A comprehensive, step-by-step checklist for conducting pay equity audits to identify and address compensation disparities. Covers data collection, statistical analysis, gap investigation, and remediation planning.
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Complete pay equity audit checklist with data requirements, analysis methodology, and remediation framework
Pay Equity Audit Checklist
Phase 1: Planning and Preparation
Establish the scope, team, and legal framework for the audit.
Phase 2: Data Collection
Gather comprehensive employee data for analysis. Ensure data accuracy and completeness.
Compensation Data
Demographic Data
Job-Related Data
Phase 3: Statistical Analysis
Conduct rigorous statistical analysis to identify unexplained pay gaps.
Phase 4: Gap Investigation and Root Cause Analysis
Investigate identified gaps to determine root causes and appropriate remediation.
Phase 5: Remediation and Action Plan
Develop and implement corrective actions to close identified pay gaps.
Audit Findings Summary
1. ____________________________________________________________
2. ____________________________________________________________
3. ____________________________________________________________
Total Remediation Budget Required: $___________
Number of Employees Affected: ___________
Average Adjustment Amount: $___________
Timeline for Implementation: ____________________________
Next Audit Scheduled: ____________________________
Audit Sign-Off
How to Use This Checklist Effectively
Before Starting
- Secure executive sponsorship and budget
- Engage legal counsel early in the process
- Ensure data systems can provide needed reports
- Set clear expectations with stakeholders
During the Audit
- Maintain strict data confidentiality
- Document every step for defensibility
- Use consistent methodology across groups
- Involve cross-functional team members
After Completion
- Act promptly on identified disparities
- Communicate changes transparently
- Update policies to prevent recurrence
- Schedule the next audit cycle
Common Pitfalls
- Using incomplete or inaccurate data
- Not controlling for legitimate pay factors
- Ignoring intersectional disparities
- Conducting audits without follow-through
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