---
name: pay-equity
description: Analyze and ensure fair compensation across demographics, identify and remediate pay gaps, conduct pay equity audits, and generate compliance reports. Use when reviewing compensation fairness, investigating pay disparity concerns, or preparing for pay equity audits and regulatory reporting. Triggers on phrases like "pay equity", "pay gap", "compensation fairness", "pay disparity", "equal pay audit", "pay analysis", "gender pay gap", "salary equity", "pay audit", "compensation equity", "pay fairness review".
---

# Pay Equity Analysis

Identify, measure, and remediate compensation disparities to ensure fair pay for all employees.

## Workflow

1. Collect and prepare compensation data: salary, bonuses, equity, benefits by employee.
2. Gather control variables: role, level, location, experience, performance, tenure, education.
3. Run statistical analysis to identify unexplained pay gaps across demographic groups.
4. Perform root cause analysis for any significant disparities found.
5. Develop and budget for remediation plan.
6. Implement pay adjustments.
7. Track progress and report results.
8. Schedule regular ongoing reviews (annual minimum).

## Analysis Framework

```
PAY EQUITY ANALYSIS FRAMEWORK
==============================

STEP 1: Data Collection
  → Pull from HRIS: All active employees, compensation data (base, bonus, equity, TC)
  → Demographic data: Gender, race/ethnicity, age, disability status, veteran status
  → Control variables: Job title, level/grade, department, location, tenure, performance rating
  → Data quality check: < 2% missing values, resolve gaps before analysis

STEP 2: Descriptive Analysis (Uncontrolled)
  → Average pay by demographic group (raw gap)
  → Median pay (less affected by outliers)
  → Pay distribution by group at each level
  → Visualize: Box plots, histograms, scatter plots

STEP 3: Regression Analysis (Controlled)
  → Multiple regression model:
      Pay = f(gender, race, role, level, location, experience, performance, tenure, education)
  → Coefficient for gender/race = unexplained pay gap after controlling for legitimate factors
  → Statistical significance: p-value < 0.05 means gap is not due to chance
  → Effect size: Even small gaps at scale represent significant dollar amounts

STEP 4: Interpretation
  → Unexplained gap < 1%: Within acceptable range
  → Unexplained gap 1–2%: Monitor closely, investigate trends
  → Unexplained gap > 2%: Remediation required
  → Check for intersectionality: Gaps may be larger for specific subgroups
```

## Analysis Report Template

```
PAY EQUITY AUDIT REPORT — [Year/Quarter]
=========================================
Analysis period: [Date Range]
Employees included: [Number] | Excluded: [Number] (contractors, new hires < 90 days)
Confidence level: 95% | Significance threshold: p < 0.05

───────────────────────────────────────────────
EXECUTIVE SUMMARY

Overall finding: [Within acceptable range / Minor gaps identified / Significant gaps requiring action]

Raw gaps (uncontrolled):
  Gender (Women vs. Men): -2.1% (women earn 97.9¢ per male dollar)
  Race (Underrep. vs. Majority): -3.4%
  Age (< 30 vs. 30-50): -1.8%

Controlled gaps (after adjusting for role, level, location, experience, performance):
  Gender: -0.8% (not statistically significant, p = 0.12)
  Race: -1.2% (statistically significant, p = 0.03) ⚠
  Age: -0.4% (not statistically significant, p = 0.31)

Assessment: Gender pay gap is within acceptable range after controls. Race-based gap requires investigation and potential remediation.

───────────────────────────────────────────────
DETAILED FINDINGS

By Department:
  Engineering: Gender gap -0.3% (ns) | Race gap -0.9% (ns)
  Sales: Gender gap -1.8% (ns) | Race gap -2.1% ⚠ (sig)
  Marketing: Gender gap -0.5% (ns) | Race gap -1.5% (ns)
  Operations: Gender gap -1.2% (ns) | Race gap -3.2% ⚠ (sig)
  HR: Gender gap +0.4% (ns, women slightly higher) | Race gap -0.8% (ns)

By Level:
  Individual Contributor: All gaps within acceptable range
  Manager: Gender gap -1.5% (ns) | Race gap -2.4% ⚠ (sig)
  Director+: Gender gap -1.8% ⚠ (sig) | Race gap -2.8% ⚠ (sig)
  NOTE: Gaps increase at higher levels — warrants targeted investigation

Pay Compression Analysis:
  → Cases where new hire earns more than incumbent in same role: 8 cases (0.65% of workforce)
  → All cases < 10% compression (within acceptable range)
  → 2 cases at senior level flagged for review in next compensation cycle

───────────────────────────────────────────────
ROOT CAUSE ANALYSIS (for flagged gaps)

Sales Manager Race Gap (-2.4%):
  → Primary driver: Hiring at lower end of band for underrep. candidates
  → Secondary driver: Merit increase differential (underrep. managers avg 3.1% vs. 3.8% for majority)
  → Contributing factor: Promotion timing (underrep. managers promoted 6 months later on avg)

Director+ Gender Gap (-1.8%):
  → Primary driver: Historical hiring at lower starting salaries
  → Secondary driver: Bonus differential (women directors avg 12% vs. 15% for men, after controls)
  → Contributing factor: Self-advocacy patterns noted in promotion cycle data

───────────────────────────────────────────────
REMEDIATION PLAN

Immediate actions (next compensation cycle — April 2025):
  1. Adjust 12 employees in flagged groups: Estimated cost $185K
  2. Revise merit increase guidelines for Sales and Director+ levels
  3. Update hiring offer guidelines to default to mid-band for all candidates

Systemic improvements (ongoing):
  4. Quarterly pay equity spot-checks (instead of annual)
  5. Mandatory pay equity review in every promotion cycle
  6. Manager training on equitable compensation decisions
  7. Transparent salary ranges in all job postings

Budget:
  → One-time remediation: $185K (approved by CFO)
  → Ongoing monitoring: Included in HR analytics budget
  → Manager training: $25K (L&D budget)

Timeline:
  → Remediation adjustments: April 1, 2025
  → New hiring guidelines: Immediate
  → Quarterly reviews: Starting Q3 2025
  → Next full audit: Q4 2025
```

## Remediation Guidelines

```
REMEDIATION PRIORITY MATRIX
============================

Priority 1: Immediate Correction (within next pay cycle)
  → Statistically significant gaps > 2% after controls
  → Gaps affecting large numbers of employees
  → Gaps in roles with high visibility or regulatory scrutiny
  → Gaps identified in response to employee complaints

Priority 2: Planned Correction (within 6 months)
  → Gaps of 1–2% after controls
  → Gaps in smaller employee groups
  → Systemic process issues requiring policy change
  → Pay compression cases > 10%

Priority 3: Monitoring (no immediate correction needed)
  → Gaps < 1% after controls
  → Gaps that are not statistically significant
  → Gaps explained by documented legitimate factors
  → Continue monitoring in next audit cycle

Correction methodology:
  → Adjust affected employees to match the median of comparable peers
  → Frame as "market adjustment" or "annual review" — don't single out demographic group
  → Ensure adjustments don't create new gaps (holistic review)
  → Document rationale for all adjustments
  → Budget approval before implementation
```

## Compliance Reporting

```
REGULATORY COMPLIANCE
======================

United States:
  → Equal Pay Act (EPA): Equal pay for equal work, same skill/effort/responsibility/conditions
  → Title VII of Civil Rights Act: Prohibits pay discrimination based on race, color, religion, sex, national origin
  → Lilly Ledbetter Fair Pay Act: Resets statute of limitations with each paycheck
  → State laws: CA, NY, WA, CO, and others have additional pay transparency and equity requirements
  → EEO-1 Component 2: Voluntary pay data reporting (required if 100+ employees or federal contractor)

Reporting requirements:
  → Annual pay equity review documented and stored
  → Remediation actions tracked and completed
  → Employee inquiries about pay handled consistently
  → Salary history bans: Don't ask about prior salary in 35+ states
  → Pay transparency: Post salary ranges in job postings (required in CA, CO, NY, WA, and growing)

International considerations:
  → EU: Pay transparency directive (2023) — salary ranges in job ads, right to request pay info
  → UK: Gender pay gap reporting (250+ employees) — mandatory annual publication
  → Canada: Pay transparency laws emerging in multiple provinces
  → Australia: Workplace gender equality reports (100+ employees)
```

## Prevention Framework

```
PREVENTING PAY INEQUITY — Systemic Solutions
==============================================

At hiring:
  → Standardized salary bands by role and level
  → Default to mid-band for offers (adjust up for exceptional qualifications, down only with documented reason)
  → Salary range disclosure in all job postings
  → No salary history questions (banned in many jurisdictions)
  → Hiring manager training on equitable offer setting

At promotion:
  → Standardized increase ranges by promotion type (level jump vs. band increase)
  → Pay equity check before every promotion effective date
  → Promotion committee review includes compensation equity lens

At annual review:
  → Merit increase guidelines with equity guardrails
  → Calibration sessions include equity discussion
  → Manager must justify increases that deviate > 15% from team average

Ongoing:
  → Quarterly automated pay equity scans
  → HRIS configuration: Alert HR when new hire salary falls outside band
  → Manager dashboard: Shows team compensation relative to market and peers
  → Annual full audit with statistical analysis
  → Employee education: How to request pay equity review
```

## Integration Points

- HRIS: Compensation data, demographic data, job leveling
- Compensation platforms (Pave, Willium, Radford): Market data, band management
- Analytics tools (Python/R, Tableau, Power BI): Statistical modeling, visualization
- Compliance platforms: Regulatory reporting automation
- Finance systems: Budget approval and adjustment processing
- HRIS: Adjustment implementation and tracking

## Edge Cases

- **Small companies** (< 50 employees): Simplified analysis; focus on same-role comparisons
- **Startups with equity-heavy comp**: Include equity value in total compensation analysis; account for vesting timing
- **Global workforce**: Analyze by country first; account for local market conditions; separate analysis per jurisdiction
  - **Multi-level organizations**: Analyze at each organizational level; aggregate carefully
- **Recently acquired companies**: Run separate analysis initially; track convergence over time
- **Role ambiguity**: Jobs that don't fit standard leveling; require job evaluation before analysis