Skip to main content

Applicant Tracking Systems in Applicant Tracking System

$249.00
How you learn:
Self-paced • Lifetime updates
Your guarantee:
30-day money-back guarantee — no questions asked
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
When you get access:
Course access is prepared after purchase and delivered via email
Who trusts this:
Trusted by professionals in 160+ countries
Adding to cart… The item has been added

This curriculum spans the equivalent depth and breadth of a multi-phase ATS implementation advisory engagement, covering technical configuration, compliance, integration, and governance tasks typically addressed across pre-deployment, optimization, and system lifecycle management stages in large enterprises.

Module 1: Strategic Selection and Vendor Evaluation

  • Conduct a gap analysis between current hiring workflows and available ATS features to prioritize must-have versus nice-to-have functionality.
  • Compare API documentation and integration history across shortlisted vendors to assess long-term compatibility with existing HRIS and payroll systems.
  • Evaluate data ownership clauses in vendor contracts to determine rights over candidate data upon contract termination.
  • Assess the frequency and transparency of vendor update cycles, including backward compatibility risks for custom integrations.
  • Map user role requirements across hiring managers, recruiters, and HRBP teams to validate vendor support for granular permission controls.
  • Perform a total cost of ownership analysis that includes implementation fees, annual licensing, internal support overhead, and upgrade costs.

Module 2: System Configuration and Workflow Design

  • Define stage names and transition rules in the hiring pipeline to align with legal compliance requirements in multiple jurisdictions.
  • Configure conditional logic for application questions based on job family or location to reduce candidate drop-off rates.
  • Set up automated email triggers with opt-out mechanisms to comply with GDPR and CAN-SPAM regulations.
  • Customize candidate scoring models using structured interview data, ensuring bias audit trails are preserved.
  • Design rejection workflows that include feedback collection from hiring managers for continuous process improvement.
  • Implement job requisition approval chains that enforce budget and headcount validation before public posting.

Module 3: Integration Architecture and Data Flow

  • Establish secure SSO using SAML 2.0 between the ATS and corporate identity providers to reduce credential sprawl.
  • Develop bi-directional sync protocols between the ATS and HRIS to prevent discrepancies in employee start dates and job titles.
  • Design error-handling routines for API failures that queue data and trigger alerts without losing candidate submissions.
  • Map field-level data transformations between the ATS and background check vendors to minimize manual re-entry.
  • Isolate staging and production environments during integration testing to prevent accidental data exposure.
  • Document data lineage for EEO-1 and OFCCP reporting fields to support audit readiness across systems.

Module 4: Candidate Experience and Accessibility

  • Optimize mobile application forms by reducing field count and enabling autofill without compromising data integrity.
  • Validate screen reader compatibility and keyboard navigation across all stages of the candidate portal.
  • Implement real-time application confirmation emails with clear next-step timelines to reduce inquiry volume.
  • Embed language toggle functionality for multinational job postings while maintaining SEO consistency.
  • Monitor page load times for hosted career sites and establish CDN strategies for global applicants.
  • Test third-party job board syndication to ensure consistent branding and application redirect behavior.

Module 5: Compliance, Privacy, and Audit Readiness

  • Configure data retention policies that align with regional regulations, including automatic anonymization triggers.
  • Restrict access to demographic and disability status fields to authorized personnel only, with audit logging enabled.
  • Generate adverse action workflows that include pre-notice disclosures and regulatory timing checks.
  • Conduct quarterly access reviews to deactivate orphaned user accounts and excessive permissions.
  • Archive all candidate communications and decision logs to support disparate impact analysis.
  • Validate encryption standards for data at rest and in transit against corporate security policy requirements.

Module 6: Reporting, Analytics, and Performance Measurement

  • Build time-to-fill reports segmented by department, recruiter, and sourcing channel using normalized date logic.
  • Define quality-of-hire metrics in collaboration with talent development teams using performance review data.
  • Implement dashboard access controls to prevent unauthorized viewing of diversity or compensation data.
  • Validate source-of-hire accuracy by reconciling UTM parameters with applicant entry points.
  • Develop turnover risk models by linking ATS tenure data with exit interview findings.
  • Standardize reporting calendars and data refresh schedules to align with HR business partner needs.

Module 7: Change Management and System Governance

  • Establish a cross-functional ATS governance committee with defined escalation paths for configuration changes.
  • Develop release notes and internal training materials for every major system update or workflow change.
  • Create sandbox environments for recruiters to test new features without impacting live data.
  • Document naming conventions and taxonomy standards for job titles, departments, and locations.
  • Implement a change request system that requires impact assessment for all configuration modifications.
  • Conduct biannual user adoption reviews to identify underutilized features and retrain stakeholders.

Module 8: Scalability, Upgrades, and Decommissioning

  • Plan capacity thresholds for candidate database growth and schedule archival routines accordingly.
  • Assess the impact of AI-driven features like resume parsing on existing data quality and validation rules.
  • Coordinate upgrade windows with global teams to minimize disruption during peak hiring periods.
  • Develop a data migration playbook that includes validation scripts for post-cutover accuracy.
  • Define exit criteria for retiring legacy ATS instances, including legal hold considerations.
  • Preserve historical hiring data in read-only format with metadata tagging for future benchmarking.