HR/People Analytics (Online)


This training curriculum aims to equip HR professionals with the knowledge and skills required to effectively utilize people analytics and metrics in setting Performance Improvement Plans (PIPs). Participants will learn the importance of data-driven decision-making in managing employee performance and driving organizational success. This training helps participants to understand the intricacies of performance measurement and improvement within the human resources domain



  • Gain insights into leveraging data and analytics for objective performance assessment.
  • Enhance PIP development and implementation through data-driven strategies.
  • Improve overall performance management and employee development processes.
  • Foster a culture of accountability and continuous improvement within the organization.

Learning Outcomes

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

  • Understand the role of HR analytics in PIP development and management.
  • Utilize various metrics to identify performance gaps and areas for improvement.
  • Develop effective PIPs incorporating data-driven insights and measurable objectives.
  • Apply analytics to track PIP progress and make informed adjustments as needed.

Target Audience

  • HR Managers and Directors
  • HR Analysts
  • Business Analysts
  • Data Scientists
  • Recruitment Professionals
  • Learning and Development Specialists
  • Employee Engagement Specialists
  • Startup Founders and Small Business Owners
  • Consultants and Freelancers
  • Graduate Students in HR or Data Analytics
  • CHROs (Chief Human Resources Officers
  • Government HR Professionals.
  • Nonprofit HR Leaders
  • HR Software Developers
  • HR Associations and Networks


Module 1: Introduction to HR Analytics and Metrics

Introduction to HR analytics and its relevance in modern HR practices.


    • HR analytics framework and key metrics for performance assessment.
    • Data collection, analysis, and interpretation for decision-making. 

Module 2: Understanding Performance Improvement Plans

Defining PIPs and their significance in performance management.


    • Elements of a PIP, setting objectives, and identifying performance gaps.
    • Communication and feedback strategies in PIP implementation.

Module 3: Data-Driven Performance Assessment

Applying data analytics for assessing employee performance.


    • Identifying relevant metrics and key performance indicators (KPIs).
    • Analyzing performance data to uncover trends and areas for improvement.

Module 4: Using Metrics to Shape PIPs

Leveraging analytics to tailor PIPs for individual employees.


    • Aligning performance metrics with PIP goals and objectives.
    • Creating measurable and achievable improvement plans based on data.

Module 5: Tracking PIP Progress and Making Data-Driven Adjustments

Monitoring and managing PIPs using data analytics.


    • Implementing continuous tracking and feedback mechanisms.
    • Analyzing progress data and adjusting PIPs as necessary.

Module 6: Case Studies and Best Practices


    • Analyzing case studies demonstrating effective PIP usage and outcomes.
    • Identifying common challenges and successful strategies.

Final Project

Apply the knowledge and skills acquired to create a comprehensive PIP using HR analytics.

  • Activity:
    • Develop a PIP for a hypothetical employee based on provided performance data and analytics.


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