Lean Six Sigma Green Belt Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
📋 2026 Edition  ·  Updated September 2026

Lean Six Sigma Green Belt Study Guide 2026

Complete exam coverage for the Lean Six Sigma Green Belt: syllabus, domains, key topics, study plan and practical exam preparation strategy.

100 (ASQ) / 150 (IASSC)
Questions
270 min
Duration
580/800 (ASQ) / 385/500 (IASSC)
Passing score
5
Domains
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First-attempt pass rate
47K+
Candidates prepared
4.9★
Average rating
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Define Phase
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Measure Phase
-
Analyse Phase
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Improve Phase
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Control Phase
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Exam at a Glance

Lean Six Sigma Green Belt Exam Overview

Key facts about the Lean Six Sigma Green Belt exam structure, format and scoring.

🆔
six-sigma-green-belt
Exam code
📝
100 (ASQ) / 150 (IASSC) questions
Total questions
⏱
270 minutes
Duration
🎯
580/800 (ASQ) / 385/500 (IASSC)
Passing score
📋
5 domains
Exam domains
🏆
Certification
Credential type
ℹ️
Scoring method: . The exam may include unscored pilot questions - treat every question seriously.
Focus Areas

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

Start with the domains that make up the Lean Six Sigma Green Belt exam. Use the detailed syllabus below to work through the individual topics.

⚠️
Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Define Phase (16%)
Covers project selection, problem framing, Voice of the Customer, and project charter development.
🏗
Measure Phase (20%)
Covers data collection, measurement system analysis, process capability, and establishing a baseline.
⚡
Analyse Phase (24%)
Covers root cause analysis, statistical hypothesis testing, regression, and identifying key process inputs (Xs).
💰
Improve Phase (24%)
Covers generating solutions, Design of Experiments (DOE), Lean flow improvement, and pilot testing.
🔄
Control Phase (16%)
Covers Statistical Process Control (SPC), control charts, response plans, and sustaining improvement.
Full Syllabus

Lean Six Sigma Green Belt Exam Syllabus and Topics

The Lean Six Sigma Green Belt exam is divided into 5 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

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
~16 questions
128 marks
16% of exam weight
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
~20 questions
160 marks
20% of exam weight
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
~24 questions
192 marks
24% of exam weight
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
~24 questions
192 marks
24% of exam weight
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
~16 questions
128 marks
16% of exam weight
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Study Plan

Lean Six Sigma Green Belt Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan →

Weeks 1-2
Core Services + Highest-Weighted Domain
Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.
Official exam guideDomain 1 completeCore conceptsPractice questions
Week 3
Domain 2 - Hands-on Practice
Focus on scenario-based study and reinforce concepts through practical application where applicable.
Domain 2Scenario walkthroughsHands-on practicePractice questions
Week 4
Domain 3 - Deeper Concepts
Work through complex concepts and decision scenarios.
Domain 3Scenario drillsPractice examReview
Week 5
Remaining Domains + Weak Area Targeting
Identify your weaker domains and spend focused time closing those gaps.
Remaining domainsDiagnosticTargeted reviewStudy notes
Week 6
Full Simulations + Final Preparation
Use timed simulations to test your preparation and review the reasoning behind incorrect answers.
Full mock examsWrong-answer reviewFinal reviewExam logistics
Exam Strategy

Tips to pass Lean Six Sigma Green Belt on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓
FMEA RPN calculation (Severity × Occurrence × Detection) is tested in multiple questions — know how to calculate it and how to prioritise which failure modes to address first.
🔍
Understand Cp vs Cpk deeply: Cp measures potential (assumes centred process); Cpk measures actual performance. A process can have a good Cp but poor Cpk if the mean is off-centre.
⏭
Control chart selection is a common question type: use X-bar and R for variable data with subgroups; use I-MR for individual measurements; use p-chart for proportion defective (variable n); use c-chart for count of defects in fixed area.
📊
Know the difference between common cause variation (random, always present) and special cause variation (assignable, requires investigation) — the correct response to each is tested repeatedly.
🔁
Hypothesis testing: if p < α (typically 0.05), reject the null hypothesis. Practise interpreting p-values in context — many questions present a p-value and ask what it means.
🧪
The SIPOC diagram is Define phase, not Measure — know which tools belong to which DMAIC phase, as misattribution is a common distractor.
📝
DOE questions often ask you to identify the correct experiment type: full factorial tests all combinations; fractional factorial is more efficient but introduces confounding.
🎯
For the ASQ open-book exam, prepare tabs in the ASQ Green Belt Primer for key formulas (capability indices, control chart constants, sigma conversion tables) — you cannot afford to look everything up from scratch.
🗓
Takt time = Available production time / Customer demand rate — know this formula and be able to apply it in a process improvement scenario.
🔍
Value stream mapping questions test your ability to identify waste and calculate process cycle efficiency (PCE = VA time / total lead time) — both are standard Lean topics.
Recommended Resources

Lean Six Sigma Green Belt Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official
Official Exam Guide
Start with the authoritative exam objectives and blueprint.
→ Vendor website
Practice Tests
Lean Six Sigma Green Belt Practice Test
Practice questions with explanations and domain-level performance analysis.
→ Start free practice test
Mock Exam
Lean Six Sigma Green Belt Mock Exam
Timed preparation under realistic exam-style conditions.
→ Take free mock exam
Training
Lean Six Sigma Green Belt Certification Training
Structured preparation with personalised learning support and adaptive practice.
→ Lean Six Sigma Green Belt certification online training
AI Tutor
Lean Six Sigma Green Belt AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
→ Try Lean Six Sigma Green Belt AI tutor
Reference
Lean Six Sigma Green Belt Cheat Sheet
Quick-reference summaries for final revision.
→ Get free cheat sheet
Diagnostic
Lean Six Sigma Green Belt Readiness Test
Assess your preparation and identify weaker exam domains.
→ Check my readiness
⚠️
Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.
Reviews

What candidates say after passing

★★★★★
DMAIC phase sequencing seems obvious until you're in a scenario where two phases overlap.Edureify AI's scenario practice made the phase boundaries precise - what belongs in Analyze vs. Improve is a real distinction the exam tests repeatedly.
Monica R.
CFA Analyst
★★★★★
Control chart selection was my weakest area. Knowing when to use Xbar-R vs. p-chart vs. c-chart requires understanding the data type and subgroup structure.Edureify AI's chart selection scenarios made the decision automatic within a few weeks of practice.
Jun W.
DevOps Engineer
★★★★★
Root cause analysis tools - fishbone, 5-why, Pareto - are tested in terms of which is appropriate for which situation, not just what they are.Edureify AI's root cause scenario practice built that situational judgment rather than just tool familiarity.
Rajan M.
Program Director
★★★★★
Process capability concepts clicked for me whenEdureify AI presented Cpk scenarios showing a capable process producing defects because it was off-center. That visual scenario made the conceptual distinction between Cp and Cpk immediately concrete.
Ethan H.
Network Engineer
FAQ

Frequently asked questions about Lean Six Sigma Green Belt

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.
The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.
The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.
Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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