UC29: EEO/AAP Reporting & Adverse Impact Analysis

The Problem

EEO-1 Component 1 reporting and Affirmative Action Plans (AAP) require complex demographic data aggregation and adverse impact calculations. Employers with 100+ employees file EEO-1 annually; contractors file AAPs. Manual data compilation from HRIS, ATS, and payroll is error-prone and time-consuming. Adverse impact analysis (four-fifths rule) requires calculating hiring, promotion, termination rates by protected class , complex statistical calculations often miscalculated. Non-compliance can trigger EEOC investigations and OFCCP audits.

What the Agent Does

Compiles workforce demographic data from HRIS: extracts employee demographics (race, ethnicity, gender), job classification codes (EEO-1 job categories), compensation
Retrieves applicant flow data from ATS: applicants by job family, applicants by race/ethnicity/gender, offers by protected class, hired by protected class
Retrieves termination data: separations by race/ethnicity/gender, termination reasons
Calculates adverse impact ratios: applies four-fifths rule (80% rule) for hiring, promotion, termination rates; identifies selections that have adverse impact on protected groups (e.g., "women hired at 60% the rate of men" = adverse impact)
Generates EEO-1 Component 1 report: aggregates employees into EEO-1 job categories (officials/managers, professionals, technicians, sales workers, office/clerical, skilled craft workers, operatives, labourers, service workers) by race/ethnicity/gender; validates counts match payroll
Generates EEO-1 Component 2 data (if required): contractor data on federal contracts , apprenticeship, previous year workforce, new hires
Drafts Affirmative Action Plan narratives (if contractor): summaries of recruitment, selection, retention, advancement practices; discusses adverse impact findings and remedial actions
Flags deficiencies: missing demographic data, suspicious adverse impact patterns, data inconsistencies (HRIS vs. ATS vs. payroll)
Generates compliance report with certification-ready data for submission to EEOC or OFCCP

Data Requirements

Data Sources:

HRIS (Workday, SuccessFactors) , employee demographics (race, ethnicity, gender, age), job family, tenure, compensation, termination dates
ATS (Greenhouse, Lever, iCIMS, Workday Recruiting) , applicant flow, applicant demographics, offer/hire data
Payroll system (ADP, Ceridian Dayforce, Workday Payroll) , pay data aggregation by demographic group (optional, for pay equity analysis)
EEO-1 job category mappings , internal job titles mapped to EEO-1 job families
ADA/Protected veteran status data (if captured in HRIS) , for expanded demographics

Data Classification:

Public: Aggregated EEO-1 data (submitted to EEOC, publicly available)
Internal Structured: Employee demographics (race, ethnicity, gender), job family, applicant flow data
Internal Unstructured: Job descriptions, AAP narratives
Sensitive/Regulated: Individual demographic data, applicant information

Data Quality Requirements:

Employee demographics must be complete (>90% of employees should have race/ethnicity/gender recorded); missing data reduces reporting accuracy
Job family classifications must be accurate and map correctly to EEO-1 categories
Applicant flow data must be complete (all applicants through final hire decision tracked)
Termination reasons should be recorded (voluntary/involuntary, reason code)

Integration Complexity: Medium to High , Requires HRIS API, ATS API, integration of multiple data sources, and sophisticated adverse impact calculations. EEO-1 reporting format is fixed (government standard), but mapping job titles to EEO-1 categories can be complex. Integration is 4 to 6 weeks.

Score Breakdown

Criterion	Weight	Score (1-5)	Weighted
Time Recaptured	15%	4	0.60
Error Reduction	10%	4	0.40
Cost Avoidance	10%	4	0.40
Strategic Leverage	5%	4	0.20
Data Availability	15%	3	0.45
Process Clarity	15%	3	0.45
Ease of Implementation	10%	2	0.20
Fallback Available	10%	4	0.40
Audience (Int/Ext)	10%	5	0.50
Composite	100%		3.90

Why It Scores Well

EEO/AAP reporting is a mandatory, high-stakes compliance process. The agent eliminates manual data compilation (30 to 40 hours saved per annual report), ensures adverse impact calculations are consistent and correct, and generates audit-ready documentation. Process is repeatable and systematic. Risk is high for non-compliance (EEOC investigation, OFCCP audit, penalties up to $1,000+/day).

Regulatory Alignment

Title VII of the Civil Rights Act , Employers must maintain EEO-1 data and avoid discrimination; adverse impact is evidence of discrimination if not justified by business necessity
Executive Order 11246 , Federal contractors must maintain AAPs and conduct adverse impact analyses
OFCCP (Office of Federal Contract Compliance Programs) , Conducts compliance audits of AAPs and EEO practices
ADA (Americans with Disabilities Act) , Disability demographics should be tracked; adverse impact analysis should account for disabled workers
GINA (Genetic Information Nondiscrimination Act) , Genetic information should never be used in employment decisions

Sprint Factory Fit

Sprint 2 (2 weeks) + 2 build sprints (4 weeks)

Scores 3.90. High-value use case: (1) eliminates manual EEO/AAP data compilation (30 to 40 hours/year saved), (2) ensures accurate adverse impact calculations (prevents EEOC findings), (3) process is systematic and repeatable (data aggregation is algorithmic), and (4) data is available in HRIS and ATS. Integration complexity is moderate-to-high due to multi-source data integration and adverse impact logic. Business impact is high (compliance, audit defense, strategic compliance planning).

Comparable Implementations

Workday: EEO-1 and AAP reporting , integrated demographic data aggregation and compliance reporting
OFCCP.gov: Affirmative Action Plan templates and guidance , government AAP format and adverse impact calculation guidance
Mercer: EEO and diversity analytics , demographic analytics and adverse impact analysis

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