Syndio Pay Equity Analysis and Remediation Training Course

Course overview

Compensation teams are expected to identify and explain pay gaps before they become employee-relations issues, litigation exposure, failed due-diligence findings, or unbudgeted remediation costs. Syndio PayEQ provides a structured environment for analysing pay equity, but reliable results depend on disciplined data preparation, defensible comparison groups, sound interpretation of model outputs, and a practical approach to remediation. This course helps HR, rewards, and analytics professionals move from dashboard review to evidence-based action.

Participants work through the full Syndio PayEQ workflow: preparing employee and job data, configuring pay analyses, reviewing regression-based results, investigating outliers, assessing representation and opportunity indicators, and documenting decisions. They learn how to distinguish adjusted from unadjusted gaps, evaluate statistically significant findings, test remediation scenarios, and use PayEQ reporting to brief HR leaders, legal counsel, finance, and managers without overstating what the analysis proves.

The five-day programme combines instructor-led demonstrations with guided work in realistic compensation datasets and Syndio-style case scenarios. Participants build a pay equity analysis plan, configure an analysis dataset, interpret sample findings, prioritise remediation cases, and prepare a stakeholder-ready remediation recommendation. They leave with a completed PayEQ analysis and remediation playbook template that can be adapted to their organisation's pay cycle, governance process, and data landscape.

The course is designed for intermediate practitioners who already work with compensation data and need to operate, interpret, govern, or act on Syndio PayEQ results. It is particularly valuable where annual pay equity reviews, salary-review cycles, acquisitions, transparency requirements, or board reporting demand a repeatable and defensible process.

Course objectives

By the end of this course, participants will be able to:

• Configure a Syndio PayEQ analysis using defined employee populations, pay measures, comparison groups, and control variables
• Validate compensation and workforce data through field mapping, completeness checks, outlier review, and exclusion documentation
• Interpret adjusted pay-gap outputs, regression coefficients, confidence indicators, and statistically significant findings
• Distinguish employee-level outliers from group-level gaps and document appropriate investigation questions for each
• Build remediation scenarios that estimate salary adjustments, budget impact, and prioritisation criteria
• Evaluate PayEQ representation and opportunity indicators alongside equal-pay analysis results
• Produce an audit-ready analysis record covering methodology, assumptions, decisions, approvals, and data limitations
• Present a pay equity findings and remediation briefing tailored to HR, finance, legal, and executive stakeholders

Benefits of attending

Target competencies

Who should attend

• Compensation Managers — who own annual pay reviews and need defensible evidence for pay-adjustment decisions
• Total Rewards Analysts — who prepare compensation datasets, investigate pay findings, and model remediation actions
• HR Analytics Professionals — who translate HRIS data into reliable workforce and pay equity analyses
• People Analytics Managers — who govern workforce metrics and communicate statistically grounded findings to leaders
• HR Business Partners — who must explain pay equity actions and manager implications within business units
• Employment Counsel and HR Compliance Specialists — who advise on analysis governance, documentation, and disclosure risk

Requirements and prerequisites

Participants should have working experience with compensation structures, employee-level HR data, and basic spreadsheet analysis. They should understand common fields such as base salary, bonus, job level, grade, location, gender, hire date, performance rating, and FTE status, and be comfortable reading tables and charts in Microsoft Excel. Familiarity with an HRIS such as Workday HCM and basic pay equity terminology is helpful. Prior use of Syndio PayEQ, regression modelling, R, Python, or advanced statistics is not required; the course explains the analytical interpretation needed for operational use.

Training methodology

An instructor leads live PayEQ walkthroughs, short analytical briefings, and decision-focused demonstrations using a realistic multinational compensation dataset. Participants complete guided exercises in data mapping, analysis configuration, result interpretation, outlier investigation, and remediation costing. Small groups compare alternative control-variable and comparison-group choices, then defend their approach in a stakeholder review. Each day closes with an applied artefact, culminating in an individual action plan that maps the course workflow to the participant's own data sources, governance roles, and pay-review calendar.

Course outline

Day 1: Pay equity foundations and PayEQ workflow

• Equal pay, pay equity, representation, and opportunity metric distinctions
• Syndio PayEQ workspace structure and analysis workflow
• Adjusted versus unadjusted pay-gap concepts
• Regression analysis purpose and operational interpretation
• Compensation measures including base pay, total cash, and target compensation
• Comparison populations, cohorts, and eligibility rules
• Pay equity governance roles across compensation, HRIS, legal, finance, and leadership

Workshop: Participants map a case organisation's pay equity review process and produce a RACI-style workflow identifying data owners, reviewers, approval points, and decision deadlines.

Day 2: Data readiness and analysis configuration

• Syndio PayEQ data intake requirements and field mapping
• Employee population definition and exclusion logic
• Job architecture, grade, level, function, and location data controls
• Pay component selection and annualisation rules
• Data completeness, duplicate, missing-value, and outlier checks
• Control-variable selection and defensible business rationale
• Analysis setup documentation and version-control practices

Workshop: Participants configure a PayEQ-ready case dataset, complete a data-quality log, and produce a documented analysis specification.

Day 3: Interpreting findings and investigating drivers

• PayEQ results views, filters, and segmentation controls
• Reading adjusted gap estimates and statistical significance indicators
• Employee-level pay outlier identification and review queues
• Group-level findings by gender, race or ethnicity, and business segment
• Coefficient interpretation and practical versus statistical significance
• Drill-down investigation using job, manager, tenure, performance, and location fields
• Data limitations, small-group suppression, and interpretation caveats

Workshop: Participants investigate a set of PayEQ findings, separate data issues from potential pay concerns, and produce an evidence log with recommended follow-up questions.

Day 4: Remediation design and decision governance

• Remediation principles for individual and systemic pay findings
• PayEQ remediation scenario inputs and adjustment modelling
• Budget estimation, adjustment thresholds, and prioritisation rules
• Salary range positioning and compression considerations
• Integration with merit cycles, promotions, and off-cycle adjustments
• Legal review, privilege considerations, and access controls
• Approval records and implementation tracking for pay actions

Workshop: Participants model three remediation options for a case population and produce a prioritised adjustment recommendation with cost, rationale, and approval requirements.

Day 5: Reporting, communication, and operationalisation

• Syndio PayEQ reporting outputs and executive dashboard interpretation
• Findings narratives for HR, finance, legal, and senior leadership
• Manager communication boundaries and escalation protocols
• Representation and opportunity indicators in total rewards reporting
• Audit trail requirements for methodology and remediation decisions
• Annual pay equity calendar and recurring monitoring cadence
• Post-analysis action planning and success measures

Workshop: Participants deliver a concise pay equity findings briefing and complete a 90-day implementation plan containing milestones, owners, data dependencies, and governance actions.

Tools & standards covered

Syndio PayEQ, Microsoft Excel, Workday HCM, EEOC EEO-1 Component 1

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions