Compliance · Adverse Impact

Adverse impact analysis across all EEOC protected classes

EEOC guidance requires employers to assess whether RIF selection criteria have disparate impact on protected groups before executing a layoff — not after receiving a charge. People Plan runs the analysis automatically as selections are made.

What the analysis requires

EEOC guidance directs employers to analyse whether layoff selection criteria produce a disparate impact on any protected class before the reduction is executed. Running this analysis after the fact — or not at all — creates exposure that defending on the merits alone cannot fully cure.

The primary standard is the 4/5ths (80%) rule: if the selection rate for any protected group is less than 80% of the selection rate for the most-selected group, a potential adverse impact is indicated. The rule is a screening test, not a legal standard — statistical significance testing is required to assess whether the disparity is meaningful.

Federal contractors are subject to additional requirements under OFCCP. For all employers, running both the 4/5ths test and statistical significance testing together is the approach that withstands scrutiny — the 4/5ths rule alone is insufficient for groups with small sample sizes, and statistical significance alone can produce technically-valid but practically-misleading results.

The protected classes that must be analysed include race and ethnicity, gender, age (specifically employees 40 and over, under the ADEA), national origin, religion, and disability status. Incomplete analysis — covering some groups but not others — is a common gap in manual processes.

Output per protected group

  • Total count in affected population
  • Selected count
  • Selection rate
  • Impact ratio vs. highest group
  • Comparison rate
  • 4/5ths rule — pass or fail
  • Statistical test type (Fisher's or chi-square)
  • p-value
  • Sample adequacy flag

How People Plan handles it

Both tests. All classes. A clear verdict per group.

1

Both methodologies, run together

The platform applies the EEOC 4/5ths rule as the primary test, then runs a statistical significance test on every group in parallel. It automatically selects Fisher's exact test for small samples and chi-square for larger ones. The two results are combined into a single per-group risk verdict — not presented as alternatives.

2

All four major EEOC dimensions

Analysis covers age (employees aged 40 and over versus under 40, per ADEA), all ten EEO-1 occupational categories, gender, and race and ethnicity across all seven EEOC categories. Each dimension is analysed independently across the full affected group.

3

Three-tier risk classification

Each protected group receives one of three verdicts. Low: passes the 4/5ths rule. Medium: fails the 4/5ths rule but is not statistically significant, or the sample is too small to be reliable. High: fails the 4/5ths rule and is statistically significant with an adequate sample size. The distinction between Medium and High matters — it determines whether remediation is advisable or urgent.

4

Full analytical output per group

For each protected group: total count in the affected population, selected count, selection rate, impact ratio, comparison rate, 4/5ths pass or fail, statistical test type used, p-value, and a sample adequacy flag indicating whether the sample is large enough to make the statistical result reliable.

Risk classification

Low risk

Passes the 4/5ths rule. Selection rates across this group are within acceptable bounds.

Medium risk

Fails the 4/5ths rule but is not statistically significant, or the sample is too small to draw reliable conclusions. Warrants review.

High risk

Fails the 4/5ths rule and is statistically significant with adequate sample size. Immediate review and potential selection adjustment required before execution.

People Plan is a compliance tool, not a law firm. Adverse impact analysis is fact-specific and context-dependent. The platform's output is analytical data to support your legal team's review — always have qualified employment counsel assess adverse impact results before executing a workforce action.

See the analysis on your selection data

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