Short Summary

The People Analytics Body of Knowledge (BoK) is a practical framework that organizes the essential topics in People Analytics into four clear dimensions: evolution, functional areas, applications, and tools. It serves as a foundational reference for HR practitioners, analysts, and educators, helping them understand what matters, why it matters, and how to apply analytics in real-world HR contexts.

One-page Overview

Purpose

• Provide a consistent reference for practitioners and educators.

• Serve as a foundation for future curricula, case studies, and accreditation.

• Enable quick onboarding and skill-building for HR teams.

The Evolution of People Analytics
This dimension explains how People Analytics developed over time. It shows the key shifts in focus, tools, and practices across different Eras, from the HR Pre-Analytics Era, when the role of data was administrative, not strategic, through the current era, where analytics became central to HR strategy and data is now used for real-time decisions. Understanding this history helps professionals see how the field evolved and why it looks the way it does today.

Functional Areas of People Analytics
This dimension explains where People Analytics is applied inside HR. It covers the main People functions where analytics adds value, including talent acquisition, learning and development, performance management, compensation and benefits, employee experience, and workforce planning. Each functional area shows how data can support better decisions and improve employee and business outcomes.

Applications for People Analytics
This dimension explains the key applications of People Analytics that help HR professionals put theory into practice. These areas cover the foundation skills, ethical responsibilities, basic reporting, and the role of analytics in supporting organizational change. Together, they form the starting point for applying people data in real organizational contexts.

People Analytics Tools & Technology
Tools and technology are the enablers of People Analytics. They help HR professionals collect, analyze, and present data in ways that support decision-making. This dimension introduces the basic categories of tools and the ways technology supports analytics practice, without requiring deep technical expertise.

Frequently Asked Questions

1. What is the People Analytics Body of Knowledge (BoK)? 

The BoK is a document listing the topics that are generally understood to comprise the field of People Analytics. It is updated as the field evolves. It answers the question: “What is People Analytics all about?”

2. Why create the People Analytics Body of Knowledge?

The Education Committee of the Society for People Analytics (SPA) developed the BoK to establish a common foundation that generates consistency in how the field of people analytics is understood and described.

3. Who is the intended audience of the BoK? 

The BoK is intended for a broad and varied audience–from no experience to mastery–depending on what the use case is. Someone with no experience may use it to understand what People Analytics is about, while a seasoned practitioner may reference the BoK as a foundation for designing courses, framework or practice guides.  The inaugural edition of the BoK is designed to be accessible to people with little to no experience with People Analytics, subsequent editions will increasingly cater to the needs of all audiences and stakeholders.

4. What are some potential uses of the BoK?

There are several opportunities for leveraging the BoK, including:

• Practitioners can use it as a reference or to navigate their development. 

• Organizations can use it to better understand how to leverage people analytics.

• Course providers, whether academic and commercial, can use it as a guide to develop courses. 

• Accrediting bodies can use it as a framework or checklist for certifications.

5. What is covered in the BoK? 

The BoK will include a short description about a variety of topics across several dimensions of the field of People Analytics. Links to additional resources on each topic will be included to direct users to supporting sources. The table below outlines the framework for the topics included:

6. What is not covered in the BoK? 

The BoK will not include:

• Opinions on technology and service providers. 

• Elementary topics in math, statistics, computer science, and human resources.. 

• Coding.

• Legal advice.

7. Is this for only U.S. practitioners?

This resource outlines People Analytics topics for a global audience, but drawing primarily from U.S. corporate practices. Readers are responsible for adapting their learning to their local context, as specific U.S. or international regulations are not detailed.  

8. Where can I find the BoK

The BoK, and FAQs will be accessible on the SPA website (BoK).  

9. Who decides what is included and excluded in the BoK? 

The BoK Team of the Education Committee selects the BoK content based on research, experience, education and scientific methodology. Specialists in the field of People Analytics are consulted. A more formal process will be put in place beyond 2025.

10. How will feedback be incorporated into the BoK? 

The BoK Team  plans to gather public feedback on the BoK content through several methods. These include surveys,  focus interviews, discussion forums, direct input from stakeholders and practitioners, and contributor submissions using standardized forms. The BoK Team will also conduct regular feedback sessions and provide summarized responses.

11. Will the BoK be updated regularly to ensure ongoing updates and relevance? 

Yes, the BoK will be reviewed and updated periodically, based on new research, emerging trends, and feedback from the global people analytics community. The update cycle includes:

• Annual Light Refresh: Review terminology, and make minor edits.

• Full Review Every 2 Years: Assess the structure, domains, and emerging practices.

• Ad Hoc Updates: For critical changes like legal compliance or technology disruptions, subject to  approval.

• All changes will be documented with rationale and attribution.

12. How can I get involved in the development of the BoK? 

You can participate in the BoK development in several ways:

• Run for an elected position in the Education Committee of the Society for People Analytics.

• Provide feedback or respond to surveys and other listening activities.

• Work directly with the BoK Team by becoming an editor, author, or reviewer.

13. How is the version history of the BoK tracked? 

To maintain transparency and track changes, the version history documents the version number, date, and author(s).

14. How does the PABoK align with Mentor Connect and Course Explorer programs?

The Mentor Connect program provides the applied, experiential layer that helps learners operationalize the BoK. The Course Explorer (think curated catalog) ensures learners can access structured content that maps directly to the BoK.

Here’s a simple way to visualize alignment:

• BoK = Framework (defines what knowledge matters)

• Course Explorer = Syllabus (meta-data on courses includes coverage of BoK topics)

• Mentoring = Context (brings that knowledge to life in real-world application and career).

Guide

How to Use the BoK

1. Start with the Framework
   Review the four dimensions to understand the scope of People Analytics.

2. Design Learning Experiences
   Use BoK topics to create:

   • Short training modules

   • One-day workshops

   • Introductory courses for HR teams

3. Apply in Practice
   Link concepts to real HR problems and decisions using examples from functional areas and applications.

4. Stay Current
   Check for updates as the BoK evolves with new tools, technologies, and best practices.

Glossary of Terms

1. Data: Facts, numbers, or information collected from different sources. Example: employee age, job title, or salary.

2. Metric: A single measure that shows a piece of information. Example: turnover rate.

3. Analytics: The process of using data, statistics, and models to find insights and support decisions.

4. People Analytics: The practice of analytics by using data and analysis to make better decisions about people in the workplace.

5. Attrition Rate: The percentage of employees leaving an organization during a specific period.

6. Benchmarking: Comparing HR metrics against industry or market standards.

7. Compa-Ratio: A metric comparing an employee’s salary to the midpoint of a pay range.

8. Dashboard: A dynamic visual tool (charts, graphs) used to monitor HR metrics and KPIs.

9. Data Governance: Policies and procedures ensuring accuracy, security, and responsible use of data.

10. Engagement Survey: A questionnaire measuring employee satisfaction, motivation, and commitment.

11. Headcount: The total number of employees in an organization or department.

12. HRIS (Human Resource Information System): A system used to store and manage HR data such as employee records, payroll, and benefits.

13. KPI (Key Performance Indicator): A measurable value showing how effectively objectives are being met.

14. Learning Management System (LMS): A platform to deliver, track, and report training programs.

15. Pulse Survey: A short, frequent employee survey to capture real-time feedback.

16. Regression Analysis: A statistical method used to identify relationships between variables (e.g., training hours and performance).

17. Pay Equity: The fairness of pay between employees doing similar work, regardless of gender, age, or other factors.

18. Succession Planning: Preparing future leaders by identifying and developing employees for critical roles.

19. Turnover Rate: The percentage of employees who leave the organization within a given timeframe.

20. Workforce Planning: Using data to predict future hiring, skills, and workforce needs.

21. Employee Engagement: The level of commitment and motivation employees feel towards their work and organization.

22. eNPS (Employee Net Promoter Score): A simple survey measure that shows how likely employees are to recommend their workplace to others.

23. Workforce Planning: The process of analyzing and planning future staffing needs to ensure the right people are in the right roles.

24. Predictive Analytics: Using past data to forecast future outcomes. Example: predicting which employees are at risk of leaving.

25. Ethics in People Analytics: The responsible and fair use of employee data, ensuring privacy, transparency, and avoiding bias.