| name | pay-equity-analysis |
| description | Use when running pay equity audits — covers method, privilege, axes to examine, remediation, and counsel involvement. |
Pay Equity Analysis
Critical Legal Caveat
Pay equity work has serious legal implications. Conduct pay equity analyses under attorney-client privilege when remediation will follow. Engage qualified employment counsel before running the analysis, not after. The agent flags; counsel decides.
Disparate findings without privilege can be discoverable in litigation. Privileged analyses can be remediated discreetly.
Why Run It
The evidence on unexamined pay distributions is consistent: gaps emerge and grow without intentional examination. Hiring biases compound (salary history, negotiation premium, manager pressure). Performance rating biases affect comp adjustments. Time at level biases delay promotion-driven raises.
Regular pay equity analysis is the audit; it doesn't fix the underlying mechanisms — but it surfaces them.
Method (Regression-Based)
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Define comparable groups: similar level, function, geography, tenure
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Variables to include:
- Comp (dependent variable; usually total cash, sometimes broken out)
- Tenure
- Level
- Years of relevant experience (if recorded reliably)
- Performance rating(s) over recent cycles
- Geography
- Demographic indicators (gender, race/ethnicity; legally protected per jurisdiction)
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Run regression: comp ~ tenure + level + experience + performance + geo + demographic
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Examine demographic coefficients:
- Statistical significance
- Magnitude (a 2% gap matters less than a 12% gap)
- Direction (which group is paid less)
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Investigate before assuming: legitimate explanations include role composition, recent hire timing, performance rating differences. But: those explanations may themselves contain bias (rating bias, promotion bias).
Axes to Examine
- Gender (incl. non-binary)
- Race / ethnicity
- Age (especially 40+ for ADEA)
- Disability status
- Parental / caregiver status (where data permits)
- Intersectional cuts (with cell-size minimums)
Cell-Size Minimums
For statistical reliability and confidentiality: n ≥ 5–8 per cell. Intersectional cuts often run into cell-size limits — surface in aggregate or qualitatively when statistics aren't reliable.
Remediation
When unexplained gaps exist:
- Targeted adjustments: bring under-paid employees up; don't cut over-paid down (illegal in some jurisdictions; demoralizing in all)
- Quartile-by-quartile: adjust within band positions, not just absolute pay
- Communicate carefully: don't tell each individual the reason if doing so would expose the analysis methodology; instead, frame as comp adjustment within normal cycle
- Re-audit: after the next refresh cycle (6–12 months), confirm closure
- Address root causes: if bias in performance ratings is the driver, fix the rating system
Adjacent Audits
Pay equity is one piece. Also examine:
- Promotion equity: rates by demographic, time-in-level
- Performance rating equity: distribution by manager × demographic
- Hiring equity: offer-to-band ratio at offer
- Equity grant equity: equity allocations by demographic
- Bonus / variable comp equity: where applicable
A pay equity audit that ignores promotion equity catches only half the picture.
Common Failures
- Running analysis without privilege; findings discoverable
- DIY analysis using HRIS data extract without statistical rigor
- Examining only gender, missing race / age / disability
- Adjustment without addressing root causes (gaps return)
- "We have no gap" claim based on a single t-test rather than regression
- Vendor providing the analysis without context interpretation
- Public commitments without privileged remediation plan
What Reasonable Looks Like
After a properly-run analysis:
- Documented methodology
- Documented findings (under privilege)
- Remediation plan with budget
- Implementation
- Re-audit on cadence
- Continuous monitoring at offer time and comp cycle
Vendor vs. In-House
For larger companies (1000+): in-house people analytics + counsel partnership
For mid-size (100–1000): vendor (Syndio, Trusaic, similar) + counsel review
For small (<100): often too small for statistically meaningful regression; use comparator review with counsel
Cross-References
compensation-strategist agent
dei-strategist agent
legal-and-jurisdictional-boundaries rule
compensation-philosophy skill
Key References
- Bohnet, I. (2016). What Works: Gender Equality by Design.
- Industry practitioner work from Syndio, Trusaic, etc.
- Federal: Equal Pay Act of 1963; Title VII; Lilly Ledbetter Fair Pay Act 2009
- State patches: California Equal Pay Act, NY, MA, CO, WA, etc. — substantially expanded in past decade