HR Technology Topics on the SHRM Exam

HR Technology in the SHRM BASK Framework

HR technology is an increasingly important topic on the SHRM certification exam. On the SHRM-CP and SHRM-SCP exam (134 questions, 4 hours, Prometric or OnVUE), technology questions appear primarily in the Organization domain but connect to Business Acumen (technology ROI), People (recruiting technology, learning management systems), and Workplace (data privacy, cybersecurity). The SHRM BASK framework (Leadership, Business Acumen, Interpersonal, People, Organization, Workplace) recognizes technology as a transformative force in HR.

You do not need to be a technology expert, but you must understand how technology enables strategic HR, the considerations for selecting and implementing HR systems, and the ethical and legal implications of HR technology decisions.

Human Resource Information Systems (HRIS)

HRIS is the backbone of HR technology. Study these key concepts:

• Types of HR Systems: HRIS (data management), HRMS (broader management functions), and HCM (strategic human capital management). Understand the differences and when each term applies.
• Core HRIS Functions: Employee records, payroll processing, benefits administration, time and attendance tracking, and compliance reporting. These foundational functions automate administrative HR tasks.
• Advanced Capabilities: Talent management modules, performance management, learning management systems (LMS), succession planning tools, and workforce analytics dashboards.
• Implementation Considerations: Needs analysis, vendor selection, data migration, change management, training, and post-implementation support. Know the key steps in a successful HRIS implementation.
• Cloud vs. On-Premise: Understand the trade-offs between cloud-based (SaaS) solutions and on-premise installations in terms of cost, flexibility, security, and maintenance.

Test your HR technology knowledge with questions on your practice dashboard.

HR Analytics and Data-Driven HR

HR analytics is a growing area of emphasis on the SHRM exam. Know these concepts:

• Descriptive Analytics: What happened? Reports and dashboards that summarize historical HR data (turnover rates, headcount trends, diversity metrics).
• Diagnostic Analytics: Why did it happen? Root cause analysis that identifies patterns and correlations in HR data (why turnover is higher in certain departments).
• Predictive Analytics: What might happen? Statistical models that forecast future HR outcomes (predicting which employees are at risk of leaving, forecasting hiring needs).
• Prescriptive Analytics: What should we do? Recommendations based on data analysis (suggesting retention interventions for at-risk employees).
• People Analytics Maturity: Organizations progress from operational reporting to advanced analytics over time. Know the stages and what each requires in terms of data quality, skills, and technology.

Emerging Technology in HR

The SHRM exam increasingly tests awareness of emerging HR technology topics:

1. Artificial Intelligence in HR: AI-powered recruiting tools, chatbots for employee self-service, natural language processing for resume screening, and predictive models for turnover risk. Understand both the benefits (efficiency, consistency) and risks (bias, lack of transparency).
2. Automation and Robotics: Robotic process automation (RPA) for repetitive HR tasks, and broader workforce implications of automation (job displacement, reskilling needs).
3. Remote Work Technology: Video conferencing, collaboration platforms, virtual onboarding tools, and remote monitoring considerations. Understand how technology enables distributed work and the HR policy implications.
4. Employee Self-Service: Portals and mobile apps that allow employees to manage benefits, view pay stubs, request time off, and update personal information without HR intervention.

Data Privacy and Ethics

HR technology raises important privacy and ethical considerations that appear on the SHRM exam:

• Data Protection: Understanding data classification, access controls, encryption, and data retention policies. HR manages some of the most sensitive employee data in the organization.
• Privacy Regulations: Be familiar with GDPR (for organizations with European employees or data subjects), state privacy laws, and industry-specific regulations that affect HR data management.
• Algorithmic Bias: AI-powered HR tools can perpetuate or amplify existing biases if not carefully designed and monitored. Know how to evaluate AI tools for fairness and compliance with anti-discrimination laws.
• Employee Monitoring: Understand the legal and ethical boundaries of employee monitoring (email, internet, location tracking), especially in remote work environments. Balance business needs with privacy expectations.

Use our diagnostic assessment to identify which technology topics require more study time. Check SHRM pass rates to understand exam trends.

Start Practicing Today

HR technology is reshaping the profession, and the SHRM exam reflects this transformation. Build your knowledge of HRIS, analytics, emerging technology, and data privacy to demonstrate your readiness for modern HR challenges.

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