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README.md

Workday Payroll Stabilization & Regression Testing

Business problem

A high-risk payroll implementation or production defect can create incorrect employee pay, manual rework, employee-relations risk, and loss of leadership confidence. Before a release or recovery run, the organization needs a controlled way to identify blocking defects, validate gross-to-net results, document readiness, and assign remediation ownership.

Solution

This simulation provides:

  • A phased stabilization and governance playbook
  • Synthetic payroll source data
  • A Python regression audit using configurable validation rules
  • A payroll test matrix with business acceptance criteria
  • A reviewer-ready exception output
  • An Excel dashboard and audit-detail workbook
  • A Workday Disaster Recovery Protocol

HRBP and technical connection

The technical output identifies defects; the HRBP and program-management layer translates those defects into employee impact, manager communication, workforce risk, escalation decisions, and release readiness.

Files

  • payroll_stabilization_playbook.md
  • payroll_regression_audit.py
  • data/sample_payroll_input.csv
  • data/payroll_regression_test_matrix.csv
  • outputs/payroll_regression_results.csv
  • Workday_Payroll_Stabilization_Audit.xlsx
  • dashboard_preview.png

Run

python payroll_regression_audit.py

The script uses only the Python standard library and writes results to outputs/payroll_regression_results.csv.

Important limitation

This is a synthetic control model. It is not a Workday tenant configuration, payroll calculation engine, tax engine, or production deployment guide.