4.10 Team Training: Needs Assessment, Delivery, and Evaluation

ASQ Certified Six Sigma Black Belt CSSBB

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1 Chapter 1: Introduction & CSSBB Exam Strategy

1.1 CSSBB Exam Format, Scoring, and Testing Windows 1.2 Eligibility, Project Affidavits, Application, and Recertification 1.3 Open-Book Strategy, Reference Materials, and a 16-Week Study Plan

2 Chapter 2: Organization-Wide Planning and Deployment

2.1 Fundamentals of Six Sigma and Lean Methodologies 2.2 Selecting the Right Methodology: DMAIC, DFSS, and Lean 2.3 Business Systems, Processes, and Stakeholder Relationships 2.4 Strategic Planning and Deployment of Six Sigma Initiatives 2.5 Six Sigma Roles and Responsibilities 2.6 Organizational Barriers and Common Causes of Six Sigma Failure 2.7 Change Management: Stakeholder Analysis, Readiness, and Communication

3 Chapter 3: Organizational Process Management and Measures

3.1 Impact of Six Sigma Projects on Customers, Suppliers, and Stakeholders 3.2 Benchmarking Types and Performance Goal Setting 3.3 Performance Measures: Balanced Scorecard, KPIs, KBIs, OKRs, and Line of Sight 3.4 Leading and Lagging Indicators and Performance Dashboards 3.5 Financial Measures: Revenue Growth, Margin, NPV, ROI, and Cost-Benefit Analysis 3.6 Cost of Poor Quality and Hard versus Soft Savings

4 Chapter 4: Team Management

4.1 Team Types and Constraints 4.2 Team Roles, Responsibilities, and Member Selection 4.3 Team Success Factors and Ground Rules 4.4 Motivational Techniques and Overcoming Demotivators 4.5 Stages of Team Development and Conflict Resolution 4.6 Team Communication Plans 4.7 Team Leadership Models: Direct, Coach, Support, and Delegate 4.8 Group Behaviors, Conflict Resolution, and Meeting Management 4.9 Facilitation Techniques and Team Decision-Making Methods 4.10 Team Training: Needs Assessment, Delivery, and Evaluation

5 Chapter 5: Define Phase

5.1 Customer Identification and Segmentation 5.2 Customer Data Collection: Methods, Validity, and Reliability 5.3 Customer Requirements: CTX, CTQ Trees, and Operational Definitions 5.4 The Kano Model and Quality Function Deployment 5.5 SIPOC and Process Mapping 5.6 Business Case Justification 5.7 The Project Charter and the Problem Statement 5.8 Project Scope and Boundaries 5.9 SMART Goals and Project Performance Measurements 5.10 Project Charter Reviews and Toll-Gate Governance 5.11 Project Management Tools: Gantt Charts, Toll-Gate Reviews, WBS, and RACI 5.12 Analytical Tools Used Throughout the DMAIC Cycle

6 Chapter 6: Measure Phase

6.1 Process Flow Metrics and the Hidden Factory 6.2 Process Analysis Tools and Value Stream Mapping 6.3 Types of Data and Measurement Scales 6.4 Sampling Concepts, Methods, and Sample Size for Estimation 6.5 Data Collection Plans and Common Pitfalls 6.6 Gage R&R for Variable Measurement Systems 6.7 Attribute Agreement Analysis and Audit MSA 6.8 Measurement Systems Across the Organization, and Metrology 6.9 Population Parameters, Sample Statistics, and Valid Statistical Conclusions 6.10 Descriptive Statistics: Central Tendency, Dispersion, and Shape 6.11 Graphical Methods for Exploratory Data Analysis 6.12 Probability Concepts, Common Distributions, and the Central Limit Theorem 6.13 Additional Distributions: Hypergeometric, Exponential, Lognormal, Weibull, and Bivariate 6.14 Process Capability and Performance Indices 6.15 Capability Studies, Attributes Capability, Yield Metrics, and Long-Term Capability

7 Chapter 7: Analyze Phase

7.1 The Correlation Coefficient, Its Confidence Interval, and Causation 7.2 Linear Regression and Residual Analysis 7.3 Multivariate Tools: Factor Analysis, Discriminant Analysis, and MANOVA 7.4 Hypothesis Testing Terminology, Errors, and Single-Sample Tests 7.5 Statistical Versus Practical Significance 7.6 Sample Size for Hypothesis Tests 7.7 Point Estimates, Confidence, Prediction, and Tolerance Intervals 7.8 Tests for Means, Variances, and Proportions 7.9 Analysis of Variance 7.10 Chi-Square Goodness-of-Fit and Tests of Independence 7.11 Types of Risk and Failure Mode and Effects Analysis 7.12 Gap Analysis and Root Cause Analysis 7.13 Waste Analysis: The Seven Classic Wastes and Resource Under-Utilization

8 Chapter 8: Improve Phase

8.1 Design of Experiments: Objectives, Terminology, and Effects 8.2 DOE Design Principles: Randomization, Blocking, Replication, and Resolution 8.3 Planning and Evaluating Designed Experiments 8.4 One-Factor Experiments: Completely Randomized, Randomized Block, and Latin Square Designs 8.5 Full Factorial Experiments and Design Selection 8.6 Two-Level Fractional Factorial Experiments and Confounding 8.7 Response Surface Methodology and Optimization 8.8 Waste Elimination: Pull Systems, Kanban, 5S, and Poka-Yoke 8.9 Cycle-Time Reduction: Continuous Flow, SMED, and Heijunka 8.10 Kaizen, Kaizen Blitz, Theory of Constraints, and OEE 8.11 Implementation Planning, Piloting, and Solution Selection

9 Chapter 9: Control Phase

9.1 SPC Objectives, Variable Selection, and Rational Subgrouping 9.2 Control Charts for Variables Data 9.3 Control Charts for Attributes Data 9.4 Short-Run SPC and Moving Average Charts 9.5 Control Chart Analysis: Common Cause, Special Cause, and Run Rules 9.6 Total Productive Maintenance and Visual Controls 9.7 Measurement System Reanalysis 9.8 Control Plan Development and Process Owner Handoff 9.9 Lessons Learned, Documentation, and Training for Sustainment 9.10 Ongoing Evaluation of the Improved Process

10 Chapter 10: Design for Six Sigma (DFSS)

10.1 DFSS Frameworks: DMADV, DMADOV, and Design Transfer 10.2 Design for X (DFX) 10.3 Robust Design, Parameter Design, and Verification 10.4 Tolerance Design and Statistical Tolerancing

4.10 Team Training: Needs Assessment, Delivery, and Evaluation

Key Takeaways Explain This Topic AI

The needs assessment sequence is identify skills gaps, develop learning objectives, prepare a training plan, and develop training materials.

Adult learning theory holds that adults are self-directed, bring experience, are problem-centred, and need immediate relevance.

Kirkpatrick's four evaluation levels are reaction, learning, behaviour, and results; most organizations stop at reaction.

Pre-training and post-training testing is the standard method for measuring learning, and it requires the pre-test to be administered before any exposure.

Skills gap equals required competency minus current competency, and it must be assessed per role, not per person or per department.

Last updated: August 2026

Why training appears in a Black Belt blueprint

Two reasons. Inside the project, team members need just-in-time capability in the tools they will use.

At the end of the project, the Control phase requires that process owners and staff are trained on
the revised methods -- the Body of Knowledge treats that as a sustainment requirement in section

VIII.D. A control plan handed to people who have not been trained on it is a document, not a control.

Needs assessment

The Body of Knowledge gives an explicit four-step sequence. Follow it in order.

1. Identify skills gaps Gap = Required competency − Current competency \text{Gap} = \text{Required competency} - \text{Current competency} Gap = Required competency − Current competency

Assess against the role , not the individual, and use a skills matrix:

Skill Required level (operator) Current: A. Chen Current: R. Patel Gap
Read and react to an X-bar/R chart 3 (apply unaided) 2 1 1 / 2
Perform first-piece verification 3 3 2 0 / 1
Record reject reason codes 3 3 3 0 / 0
A four-level scale is conventional: 1 aware, 2 can perform with help, 3 can perform unaided, 4 can
teach others. Sustainment requires at least one level-4 person per shift, or the capability leaves

with a single individual.

Sources of gap evidence: observation at the gemba, error and defect data by cause, audit findings,

supervisor assessment, and self-assessment (which reliably overstates and must be triangulated).

2. Develop learning objectives

An objective states what the learner will be able to do , observably, and under what conditions.

Use action verbs from Bloom's taxonomy at the appropriate cognitive level -- the same taxonomy ASQ

uses to tag the Body of Knowledge.

Weak: "Understand control charts."
Strong: "Given an X-bar/R chart with a run of seven points above the centre line, the operator will
identify the out-of-control condition and execute the documented reaction plan without assistance."
The objective determines the assessment. If you cannot state how you would test it, the objective is

not yet written.

3. Prepare a training plan
The plan specifies audience, objectives, content, delivery mode, duration, schedule, trainer,

location, and required materials. Two decisions dominate:

Sequence : teach in the order the learner will use the skills, not in the order the theory is

organized.

Timing : deliver as close as possible to first use. Training given six weeks before a process

change has largely decayed by cutover.

4. Develop training materials
Materials should mirror the job aids people will actually use -- the standard work sheet, the
reaction plan, the control chart itself -- rather than exist as separate slide decks. The best

training material is the job aid, taught.

Delivery
Adult learning theory

Four principles, and each has a direct implication:

Principle Implication for delivery
Adults are self-directed Explain the objective and let learners work; do not lecture at them
Adults bring experience Start from their process and their examples, not generic case studies
Adults are problem-centred Teach a tool by solving a real problem with it, not by defining it first
Adults need immediate relevance State up front how this changes their work tomorrow
Modes of learning

Mode Strengths Weaknesses Best for
Classroom Efficient for groups; discussion Passive; decays without practice Concepts and rationale

On-the-job / hands-on Highest transfer; real context Trainer-intensive; variable quality Procedures and equipment

E-learning Scalable; consistent; on demand Low engagement; poor for skills Awareness, compliance, refreshers
Simulation / kata Safe practice; immediate feedback Setup cost High-consequence or rare situations
Coaching / mentoring Individualized; builds depth Does not scale Belt development, judgment skills
Blended delivery is normal: e-learning for the concept, hands-on for the skill, coaching for the

judgment.

Soft skills
The Body of Knowledge names soft skills explicitly. Facilitation, listening, questioning, giving
feedback, and presenting cannot be taught by lecture; they need practice with observation and

feedback, usually through role play with a structured observer checklist.

Evaluation

Kirkpatrick's four levels is the standard framework, and the exam expects you to distinguish them.

Level Question Typical method Cost How often used
1. Reaction Did they find it useful and relevant? Feedback survey at the end Low Almost always
2. Learning Did knowledge or skill increase? Pre-test and post-test; skills demonstration Low-medium Sometimes

3. Behaviour Are they doing it differently on the job? Observation, audit, KBI, 30-60-90 day follow-up Medium Rarely

4. Results Did the business measure move? Defect rate, cycle time, yield, cost High Very rarely
Level 1 measures satisfaction and predicts almost nothing: learners rate entertaining sessions highly
regardless of transfer. Level 3 is the level that matters to a Black Belt , because a control plan
depends on behaviour change, not on knowledge. Build the level 3 check into the control plan itself as

a key behaviour indicator with a defined audit frequency.

Pre-training and post-training testing

The Body of Knowledge names pre- and post-testing specifically. Three rules make it valid:

Administer the pre-test before any exposure , including the introductory briefing.

Use equivalent but not identical items, or the gain measures recall of the test rather than

learning.

Set a defined pass standard tied to the learning objective , and re-train those who do not meet

it rather than recording the average and moving on.

Evaluation planning
Decide the evaluation levels, methods, and success criteria while designing the training , not
after delivering it. Retro-fitting evaluation is how organizations end up with a stack of level 1

smile sheets and no evidence that anything changed.