Upon completion of this course, participants will be able to:

• Design a holistic set of **Key Performance Indicators (KPIs)** across all project knowledge areas (scope, quality, risk, schedule, cost).
• Master the process of establishing and maintaining the project's various performance baselines (scope, schedule, cost).
• Utilize performance data to conduct accurate root cause analysis of project variances and issues.
• Develop clear, audience-specific **Performance Dashboards and Reports** (e.g., RAG status, executive summary).
• Apply the principles of **Earned Value Management (EVM)** as a core, integrated measurement system.
• Design metrics to measure the quality of project deliverables and the effectiveness of risk responses.
• Implement a systematic process for performance data collection, analysis, and dissemination.
• Use performance data to trigger proactive corrective actions and drive continuous process improvement.

• Project Managers and Program Managers
• Project Control Officers (PCOs) and PMO Staff
• Functional Managers overseeing project inputs
• Business Analysts focused on project outcomes
• Senior Stakeholders requiring clear project visibility

• Group Workshop: Designing a Project KPI Framework and RAG Status Criteria for a new project
• Individual Exercises: Conducting Variance Analysis and Root Cause Identification on sample performance data
• Case Studies: Analyzing projects that successfully used data-driven management to recover from setbacks
• Workshop: Creating an integrated project performance dashboard with appropriate data visualizations
• Discussions: Strategies for aligning project performance metrics with organizational strategic KPIs

Unit 1: Foundations of Performance Measurement

• The purpose and scope of project performance measurement and the concept of a performance measurement system.
• Defining **Key Performance Indicators (KPIs)** that are SMART (Specific, Measurable, Achievable, Relevant, Time-bound).
• Establishing and maintaining the multiple project baselines (scope, schedule, cost, quality).
• The role of the PMIS (Project Management Information System) in data collection and aggregation.

Unit 2: Integrated Measurement Techniques

EVM and Baselines
• Deep dive into **Earned Value Management (EVM)** as the integrated measurement standard.
• Measuring Schedule and Cost performance using EVM indices (SPI and CPI).
• Developing metrics for **Scope Performance** (e.g., scope change index, WBS completeness).
• Techniques for using EVM and variance analysis to forecast project outcomes (EAC).

Unit 3: Quality, Risk, and Stakeholder Measurement

Holistic Control
• Defining and tracking metrics for **Quality Performance** (e.g., defect density, rework hours, control chart results).
• Measuring the effectiveness of **Risk Response** strategies and tracking residual risk exposure.
• Developing metrics for **Stakeholder Satisfaction** (e.g., engagement levels, communication effectiveness).
• Techniques for measuring the performance of the project team itself (e.g., velocity, resource utilization).

Unit 4: Reporting and Data Visualization

Communication and Insight
• Designing effective **Project Dashboards** that clearly communicate project health across all areas.
• Strategies for tailoring performance reports to executive, operational, and client audiences.
• Mastering the use of **RAG (Red/Amber/Green) Status** and its underlying objective criteria.
• Techniques for data visualization to translate complex performance metrics into clear insights.

Unit 5: Performance Analysis and Continuous Improvement

Action and Legacy
• Conducting systematic **Variance Analysis** and identifying the true root cause of deviations.
• The process of using performance data to inform and justify corrective and preventive actions.
• Applying quality improvement cycles (e.g., PDCA) to enhance project processes based on performance.
• Strategies for capturing and utilizing performance measurement insights in the **Lessons Learned** repository.