Lean Six Sigma Green Belt Study Guide (2026)

Lean Six Sigma Green Belt Study Guide 2026 – Pass on Your First Attempt

This Lean Six Sigma Green Belt study guide covers all exam domains, key concepts, and real exam-style scenarios to help you pass on your first attempt. Learn what topics matter most, avoid common mistakes, and follow a structured plan based on the official exam blueprint.

Edureify AI helps you identify your strengths and weak areas using real exam-style questions, detailed explanations, and domain-level analysis. Get a personalized study plan, track your progress, and focus only on what will improve your Lean Six Sigma Green Belt exam score.

"I passed my Lean Six Sigma Green Belt exam on the first try after just 6 weeks of studying with Edureify AI!"

What should you study for the Lean Six Sigma Green Belt exam?

To pass the Lean Six Sigma Green Belt certification exam, you should focus on:

  • Define Phase: Covers project selection, problem framing, Voice of the Customer, and project charter development.
  • Measure Phase: Covers data collection, measurement system analysis, process capability, and establishing a baseline.
  • Analyse Phase: Covers root cause analysis, statistical hypothesis testing, regression, and identifying key process inputs (Xs).
  • Improve Phase: Covers generating solutions, Design of Experiments (DOE), Lean flow improvement, and pilot testing.
  • Control Phase: Covers Statistical Process Control (SPC), control charts, response plans, and sustaining improvement.

The exam tests your ability to apply concepts in real scenarios, not just memorize definitions.

Lean Six Sigma Green Belt Exam Syllabus and Topics

The Lean Six Sigma Green Belt exam is divided into 5 domains. Each domain tests specific skills and contributes to your overall score.

Define Phase

Covers project selection, problem framing, Voice of the Customer, and project charter development.

16%
Weight
16
Questions
128
Marks

Problem Definition and Business Case

  • Project charter components: problem statement, goal statement, scope, team, timeline, business case
  • SMART project goals: Specific, Measurable, Achievable, Relevant, Time-bound
  • Linking Six Sigma projects to strategic goals
  • Project selection criteria: financial impact, feasibility, and strategic alignment
  • DMAIC vs DMADV (Design for Six Sigma): when to use each

Voice of the Customer

  • VOC collection methods: surveys, interviews, focus groups, complaint analysis
  • Kano model: basic, performance, and excitement needs
  • CTQ (Critical to Quality) tree: translating customer needs to measurable requirements
  • QFD (Quality Function Deployment) and House of Quality
  • SIPOC diagram: Suppliers, Inputs, Process, Outputs, Customers

Lean Fundamentals

  • Five Lean principles: value, value stream, flow, pull, perfection
  • Eight wastes (TIMWOODS): Transport, Inventory, Motion, Waiting, Over-processing, Overproduction, Defects, Skills
  • Value-added vs non-value-added activities
  • Value stream mapping (VSM): current state and future state maps
  • Process cycle efficiency: value-added time / total lead time

Measure Phase

Covers data collection, measurement system analysis, process capability, and establishing a baseline.

20%
Weight
20
Questions
160
Marks

Data Types and Collection

  • Variable (continuous) vs attribute (discrete) data
  • Data collection plan: who collects, how, when, and where
  • Sampling methods: random, stratified, systematic
  • Check sheets, Pareto charts, and histograms for initial data summary
  • Operational definitions: defining what you are measuring precisely

Measurement System Analysis (MSA)

  • Gauge R&R (Repeatability and Reproducibility): assessing measurement variation
  • Bias, stability, linearity, and resolution in measurement systems
  • %R&R < 10%: acceptable; 10–30%: may be acceptable; >30%: unacceptable
  • Attribute MSA: Kappa statistic for categorical agreement
  • Sources of measurement error and how to reduce them

Capability Metrics

  • Process capability indices: Cp, Cpk, Pp, Ppk
  • Cp: potential capability (centred process); Cpk: actual capability (includes mean shift)
  • Six Sigma targets: Cpk ≥ 1.33 (4σ), Cpk ≥ 1.67 (5σ)
  • DPMO (Defects Per Million Opportunities) and sigma level conversion
  • Rolled Throughput Yield (RTY) and First Pass Yield (FPY)
  • Baseline sigma calculation from defect rate

Analyse Phase

Covers root cause analysis, statistical hypothesis testing, regression, and identifying key process inputs (Xs).

24%
Weight
24
Questions
192
Marks

Root Cause Tools

  • Cause-and-effect (fishbone / Ishikawa) diagram: 6M categories
  • 5 Whys technique: iterative questioning to root cause
  • Fault tree analysis (FTA): top-down failure analysis
  • Failure Mode and Effects Analysis (FMEA): RPN = Severity × Occurrence × Detection
  • Affinity diagrams and interrelationship digraphs

Hypothesis Testing

  • Null hypothesis (H₀) vs alternative hypothesis (H₁)
  • Type I error (α, false positive) and Type II error (β, false negative)
  • p-value interpretation: p < α → reject H₀
  • t-tests: one-sample, two-sample (independent), and paired t-test
  • ANOVA: comparing means across more than two groups
  • Chi-square test: testing independence of categorical variables

Correlation and Regression

  • Pearson correlation coefficient (r): strength and direction of linear relationship
  • Simple linear regression: equation, R², and residual analysis
  • Multiple regression: interpreting coefficients and interaction terms
  • Scatter plots and identifying outliers and influential points
  • Regression assumptions: linearity, normality of residuals, homoscedasticity

Non-Parametric and Other Tests

  • When to use non-parametric tests: non-normal data, small samples
  • Mann-Whitney U test: non-parametric alternative to two-sample t-test
  • Kruskal-Wallis test: non-parametric alternative to one-way ANOVA
  • Box plots and normal probability plots for distribution assessment

Improve Phase

Covers generating solutions, Design of Experiments (DOE), Lean flow improvement, and pilot testing.

24%
Weight
24
Questions
192
Marks

Idea Generation and Prioritisation

  • Brainstorming and brainwriting for solution generation
  • Solution selection matrix: weighting criteria and scoring
  • Pugh concept selection matrix
  • Poka-yoke (mistake proofing): prevention vs detection controls
  • Kaizen events: rapid improvement workshops

DOE Fundamentals

  • Full factorial designs: 2k designs, main effects, and interaction effects
  • Fractional factorial designs: resolution and confounding
  • Response Surface Methodology (RSM): optimising factor levels
  • Taguchi methods: robust design and noise factors
  • Interpreting main effects plots, interaction plots, and Pareto of effects

Flow and Pull Implementation

  • Single-piece flow vs batch processing
  • Kanban systems: pull signals, card types, and WIP limits
  • 5S methodology: Sort, Set in order, Shine, Standardise, Sustain
  • Total Productive Maintenance (TPM) and OEE (Overall Equipment Effectiveness)
  • Cycle time, takt time, and bottleneck identification

Control Phase

Covers Statistical Process Control (SPC), control charts, response plans, and sustaining improvement.

16%
Weight
16
Questions
128
Marks

Control Charts

  • Control chart types: X-bar and R, X-bar and S, I-MR, p, np, c, u charts
  • Variable vs attribute charts: when to use each
  • Control limits vs specification limits: critical distinction
  • Western Electric rules for detecting special cause variation
  • Common cause vs special cause variation: responding appropriately
  • Out-of-control signals: points beyond control limits, runs, trends

Control Documentation

  • Control plan: process name, input/output, specification, measurement, sample size, frequency, reaction plan
  • Standard operating procedures (SOPs) and work instructions
  • FMEA update post-improvement: revised RPN scores
  • Visual management: dashboards, displays, and standard work
  • Knowledge transfer and training plan for sustainment
Lean Six Sigma Green Belt study guide 2026 Lean Six Sigma Green Belt exam syllabus Lean Six Sigma Green Belt certification preparation how to pass Lean Six Sigma Green Belt exam Lean Six Sigma Green Belt exam topics and domains
🔥 1,247 professionals tested in last 24 hours

Know If You'll Pass Lean Six Sigma Green Belt Before You Start

Take our 10-minute diagnostic test and get a personalized report showing your exact readiness level, weak domains, and days needed to pass.

47,328 professionals discovered their readiness
92% went on to pass on their first attempt
100% Free No Credit Card Results in 10 Min

AI-Powered Learning Experience

Master your Lean Six Sigma Green Belt certification with structured learning, real exam questions, and AI-powered guidance.
Personal AI Mentor

24/7 AI Mentor Support

Get instant answers and personalized guidance throughout your Lean Six Sigma Green Belt certification journey

  • Instant doubt resolution and concept explanations
  • Adaptive learning path based on your performance
  • Focus recommendations for weak areas

Hi! I'm your AI Tutor. Let's create a personalized study plan for your Lean Six Sigma Green Belt certification.

I need help understanding Define Phase

Track Your Progress

Get detailed insights into your learning journey with our advanced analytics

  • Topic-wise performance analysis
  • Real-time progress tracking
  • Weak area identification

Learning Progress

Define Phase 85%
Measure Phase 92%

Practice Test Scores

95%
Latest Score
Above passing threshold

Frequently Asked Questions