Why Choose Project Performance Mastery: KPIs, Metrics, and Dashboards Training Course?

The Project Performance Mastery: KPIs, Metrics, and Dashboards Course gives project managers, PMO professionals, and project controls specialists a comprehensive, hands-on framework for designing effective project KPIs, building interactive dashboards, analysing project data, and generating the insights that drive better project decisions and stakeholder communication.

Performance measurement is one of the most underdeveloped capabilities in project management. Many project professionals know what KPIs are in principle but struggle to align them with project objectives, design dashboards that communicate performance clearly, analyse trends that reveal emerging risks, or use data to support stakeholder conversations rather than simply document past performance.

This course closes that gap — moving from KPI alignment and metric design, through benchmark setting, data collection, and dashboard development, to trend analysis, predictive risk identification, AI and automation in project analytics, and best practices for continuous improvement. Practical workshops, case studies, and a group action planning session are integrated throughout every day.

The Project Performance Mastery: KPIs, Metrics, and Dashboards Course is built for project professionals who want to move beyond reporting what happened and develop the analytical capability to predict what is coming, communicate it clearly, and act on it decisively.

 

What are the Goals?

The Project Performance Mastery: KPIs, Metrics, and Dashboards Course is designed to develop practical, end-to-end project analytics capability from KPI alignment and metric design through dashboard development, data analysis, and continuous improvement.

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

  • Define project analytics, metrics, and KPIs and align KPIs with project goals and organisational objectives
  • Identify effective KPIs for different project types through structured workshop application
  • Design and track time, cost, quality, and risk metrics with appropriate benchmarks and performance targets
  • Apply data collection and validation techniques and develop a metric tracking plan
  • Apply dashboard design principles including clarity, accessibility, and impact to real project reporting contexts
  • Build interactive dashboards using relevant tools and evaluate dashboard effectiveness through case study analysis
  • Analyse trends and patterns in project metrics and use data to predict risks and identify opportunities
  • Generate actionable insights for decision-making and reporting and develop a data-driven action plan
  • Apply visual data communication techniques to enhance stakeholder engagement and project reporting quality
  • Evaluate AI and automation applications in project analytics and apply best practices for continuous improvement

Who is this Training Course for?

The Project Performance Mastery: KPIs, Metrics, and Dashboards Course is designed for project managers, PMO professionals, project controls specialists, and data and reporting professionals who want to develop or strengthen their project analytics, KPI design, and dashboard capability.

This course is suitable for:

  • Project managers responsible for project performance measurement, reporting, and stakeholder communication
  • PMO professionals developing KPI frameworks, reporting standards, and dashboard templates across project portfolios
  • Project controls specialists applying metrics and earned value analysis to project performance tracking
  • Programme and portfolio managers overseeing performance measurement across multiple project streams
  • Data and business intelligence professionals applying analytics and dashboard tools to project reporting environments
  • Senior leaders and executives who consume project dashboards and want to improve how project performance is measured and presented to them
  • Digital transformation professionals evaluating AI and automation tools for project analytics improvement
  • Graduate project management and engineering professionals building a structured foundation in project performance analytics

How will this Training Course be Presented?

The Project Performance Mastery: KPIs, Metrics, and Dashboards Course is delivered through a structured, application-focused learning approach where every concept is grounded in practical workshop and case study application. The course moves progressively from analytics fundamentals and KPI alignment through metric design, dashboard development, data analysis, and advanced automation applications — with hands-on exercises and group activities built into every day.

Delegates are encouraged to apply tools and frameworks to their own real project performance challenges throughout the course, making the learning immediately relevant and actionable.

Delivery methods include:

  • Instructor-led sessions covering project analytics fundamentals, KPI design, dashboard principles, data analysis, and AI applications
  • KPI identification workshop applying structured KPI alignment techniques to different project types and objectives
  • Metric tracking plan exercise designing a complete time, cost, quality, and risk metric framework with benchmarks and targets
  • Group action planning activity developing a data-driven project performance improvement plan
  • AI and automation evaluation sessions examining how emerging technology tools are transforming project analytics practice

The Course Content

  • Introduction to Project Analytics: Concepts and Importance
  • Understanding Metrics and KPIs: Key Definitions and Differences
  • Aligning KPIs with Project Goals and Organizational Objectives
  • Hands-On Workshop: Identifying Effective KPIs for Different Projects
  • Types of Project Metrics: Time, Cost, Quality, and Risk Metrics
  • Setting Benchmarks and Performance Targets
  • Techniques for Collecting and Validating Project Data
  • Practical Exercise: Designing a Metric Tracking Plan
  • Introduction to Dashboard Tools and Technologies
  • Principles of Dashboard Design: Clarity, Accessibility, and Impact
  • Creating Interactive Dashboards: Step-by-Step Guide
  • Case Study: Evaluating Dashboards in Real-World Projects
  • Analyzing Trends and Patterns in Project Metrics
  • Using Data to Predict Risks and Opportunities
  • Generating Insights for Decision-Making and Reporting
  • Group Activity: Developing a Data-Driven Action Plan
  • Enhancing Stakeholder Communication with Visual Data
  • Leveraging Automation and AI in Project Analytics
  • Best Practices for Continuous Improvement Using Analytics

Certificate

  • AZTech Certificate of Completion for delegates who attend and complete the training course
  • The applicable PMI Professional Development Units/Contact Hours will be reflected in the Certificate of Completion

Accreditation

PMI

AZTech is an official PMI Authorized Training Partner (ATP). All applicable project management courses are pre-approved by the Project Management Institute, allowing participants to earn the necessary PDUs and Contact Hours for certification and recertification.

In Partnership With

Anderson Copex Coventry

Do you want to learn more about this course?

Register now or contact our team to discuss schedules, delivery formats, and customised options.

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Frequently Asked Questions

Common questions about our training courses

A general background in project management or project reporting is helpful, but no advanced data analytics experience is required. The course introduces project analytics concepts, KPI design principles, and dashboard tools in a structured, accessible way before advancing to trend analysis, predictive risk identification, and AI applications. Delegates from project management, PMO, and general management backgrounds will find the content directly applicable to their reporting and performance management responsibilities.  

Day 2 covers metric design and tracking in depth, examining the four key metric categories — time, cost, quality, and risk — how benchmarks and performance targets are set, and what data collection and validation techniques ensure metric reliability. Delegates develop a metric tracking plan in a practical exercise, leaving with a structured, replicable methodology for designing measurement frameworks that are consistent, defensible, and genuinely informative for project decision-making.  

Day 4 covers data analysis and predictive risk identification, examining how trends and patterns in project metrics reveal emerging schedule, cost, and quality risks before they become critical, how data interpretation generates actionable insights rather than backward-looking reports, and how those insights are structured into decision-relevant formats for project stakeholders. Delegates develop the analytical mindset to treat project data as a forward-looking management tool rather than a historical record.  

Day 1 focuses on KPI alignment as the foundation of effective project performance measurement, examining how KPIs are defined and differentiated from metrics, how they are aligned to specific project objectives and broader organisational goals, and what makes a KPI genuinely useful versus simply measurable. Delegates apply these principles in a hands-on KPI identification workshop, developing the structured alignment capability to design KPIs that actually drive performance improvement rather than simply generating data.  

Day 3 focuses on dashboard development, covering the core principles of dashboard design including clarity, accessibility, and impact, how to select and apply appropriate dashboard tools, and how to build interactive dashboards step by step. A case study session evaluates real-world project dashboards helping delegates develop the critical design judgement to distinguish dashboards that genuinely support decision-making from those that present data without facilitating understanding or action.  

AI and automation in project analytics are addressed within Day 5, examining how AI tools are being applied to automated data collection, anomaly detection, predictive performance forecasting, and natural language report generation. Delegates develop the awareness to evaluate AI analytics tools objectively against their own project reporting environments — understanding both the genuine productivity benefits and the governance considerations that responsible AI adoption in project analytics requires.  

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