Overview

By the end of this course, learners will be able to define business problems, measure critical data, analyze root causes, improve processes with tested solutions, and control outcomes for long-term success. Participants will also gain the ability to recognize new project opportunities, apply Lean management principles, design new processes using DFSS (DMADV), and lead organizational change effectively. This course equips champions and business leaders with the tools to drive continuous improvement across diverse industries. Learners will benefit by mastering structured frameworks such as SIPOC, Balanced Scorecard, C&E Matrix, and advanced statistical tools for measurement and analysis. Real-world case studies and practical exercises ensure that concepts are applied, not just learned. What makes this course unique is its end-to-end integration of Lean Six Sigma with leadership-focused applications. Beyond DMAIC, the course introduces Recognize and DFSS methodologies, alongside Change Management strategies to ensure sustainability. This holistic approach enables learners not only to improve processes but also to embed a culture of excellence within their organizations. With a balanced focus on strategy, tools, and leadership, this course provides champions with the confidence to align improvement projects with business goals and deliver measurable results.

Syllabus

Foundations of Lean Six Sigma

This module introduces learners to the fundamentals of Lean Six Sigma, including its purpose, methodologies, and integration of Lean and Six Sigma principles. It covers the Define phase and essential strategy tools such as the Balanced Scorecard and Cause-and-Effect matrices. Learners gain a clear understanding of how Lean Six Sigma projects are structured and the role of champions and leaders in driving quality improvements.

Advanced Define Tools & Process Mapping

This module explores advanced decision-making and process mapping tools used in the Define and Measure phases. Learners practice applying frameworks such as Pugh Matrix, Affinity Diagrams, Pareto Charts, and SIPOC mapping. The module also introduces foundational measurement concepts including data types, populations, and samples to prepare learners for statistical analysis in later phases.

Measure Phase – Data Analysis

This module develops statistical literacy for Lean Six Sigma projects, focusing on descriptive statistics and measurement tools. Learners explore measures of central tendency, spread, and distribution shapes to understand process performance. Case studies, data collection planning, and MSA (Measurement System Analysis) provide real-world applications. The module concludes with an introduction to the Analyze phase, linking measurement insights to root cause identification.

Analyze & Improve Phases

This module focuses on the Analyze and Improve phases of DMAIC. Learners validate root causes with statistical tools and prioritize the most critical factors. In the Improve phase, learners design, test, and refine solutions through methods such as DOE (Design of Experiments) and pilot studies. Emphasis is placed on iterative refinement, customer validation, and preparing improvements for long-term sustainability.

Control, Recognize & Business Applications

This module covers the final DMAIC stage (Control), ensuring improvements are sustained through monitoring and standardization. Learners explore the Recognize phase for identifying new project opportunities, and study Lean Management principles for efficiency. The module introduces DFSS (Design for Six Sigma) with the DMADV methodology and concludes with Change Management strategies to embed continuous improvement into organizational culture.