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LeadChange Group

Pay Equity

Pay Equity Software for Mid-Sized Companies

Mid-market companies have enough people per role for statistical analysis and enough hiring to reopen gaps quickly.

By LeadChange Research TeamUpdated

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Research in progress

We have not yet verified which pay equity platforms serve this segment. We rank pay equity software for mid-sized companies once at least 3 products have that evidence; until then, this page sets out what matters and what we evaluate.

What we evaluate

  • Comparable job grouping

    Groups employees into comparable roles by job content, family and level.

  • Statistical pay gap analysis

    Runs regression models that control for legitimate pay factors and flag unexplained gaps.

  • Small group review

    Compares individuals in groups too small for statistical analysis.

  • All forms of pay

    Analyzes base pay, bonuses, commissions and equity separately and together.

  • Remediation modeling

    Models the cost and allocation of adjustments to close gaps.

  • Offer and raise checks

    Checks new offers, promotions and merit increases against peers before approval.

  • Pay range management

    Maintains ranges used in job postings and internal moves.

  • Pay data reporting support

    Prepares workforce pay data by group, job category and pay band for state reports.

  • Audit documentation

    Logs findings, explanations and actions for counsel and auditors.

  • Sensitive data access control

    Restricts and logs access to pay and demographic data.

What matters for mid-sized companies

  1. Regression analysis with adjustable groups

    Groups must match how jobs actually compare.

  2. Remediation modeling

    Finance needs the cost before the merit cycle.

  3. Offer and raise checks

    New decisions are where gaps reappear.

  4. Bonus and equity coverage

    Variable pay often holds the largest gaps.

How to choose pay equity software

6 criteria · Requirements by company size · 5 red flags

Choose on whether the analysis would hold up if a regulator, a plaintiff's expert or your own board questioned it. That depends on how employees are grouped, which pay factors the model controls for, how gaps are explained and how the work is documented.

Bring your own anonymized pay file to the demo. Ask the vendor to group your roles, run the model, explain one flagged employee and show the cost of closing the gap.

  1. Comparable job grouping

    The Equal Pay Act compares substantially equal jobs by content, not title, so the grouping decides what the analysis can show.

  2. Statistical model transparency

    Regression results are only defensible if you can explain which factors were controlled for and why.

  3. Legitimate pay factors

    Controlling for factors that are themselves tainted, such as a biased performance rating, can hide a real gap.

  4. All forms of pay

    The EEOC says the Equal Pay Act covers all forms of pay, including bonuses, stock options and benefits, not only base salary.

  5. Remediation modeling

    Finance needs the cost of closing gaps and HR needs to know which employees to adjust and by how much.

  6. Decision checks before approval

    Gaps reopen through new offers, promotions and merit increases unless those decisions are checked as they happen.

Requirements by company size

  • Mid-sized companies

    • Regression analysis with adjustable job groups
    • Remediation budget modeling
    • Offer and raise checks inside existing workflows

    Watch out for

    • Pay factors that carry bias into the model
    • Bonuses and equity left out of scope
    • Manual data exports every time you rerun the analysis

Red flags

  • The vendor cannot show the model specification or factors used
  • Only base salary is analyzed
  • Job groups are fixed and cannot be reviewed
  • Results cannot be exported for counsel or outside experts
  • Marketing promises the tool makes you compliant

More tools for mid-sized companies

Find your fit

By company size

How we research

A ranking of pay equity for mid-sized companies reweights the LeadChange Score: capability coverage 25%, pricing transparency & value 30%, integrations & API 10%, security & compliance 10%, fit & support 15%, and data confidence 10%. Only products with a verified fact showing they serve this segment are listed.

Read the full methodology

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