Measuring and Analyzing Process Performance Training
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Measuring and Analyzing Process Performance Training
This course is part of Six Sigma Yellow Belt Exam Prep Certification Specialization
Instructor: Priyanka Mehta
Included with
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What you'll learn
Define and map processes using the Six Sigma Measure phase and core tools
Analyse data using Six Sigma statistics, charts, and distributions
Validate data accuracy and reliability through Measurement System Analysis
Assess process capability to evaluate variation and performance gaps
Skills you'll gain
- Failure Mode And Effects Analysis
- Quality Assessment
- Lean Methodologies
- Statistical Methods
- Descriptive Statistics
- Process Validation
- Performance Improvement
- Root Cause Analysis
- Process Capability
- Performance Metric
- Lean Six Sigma
- Performance Measurement
- Systems Of Measurement
- Statistical Analysis
- Process Analysis
- Statistical Process Controls
- Six Sigma Methodology
- Process Improvement
- Process Mapping
- Statistical Hypothesis Testing
Details to know
February 2026
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There are 4 modules in this course
This measuring and analyzing process performance training develops strong skills in defining, measuring, and analysing processes to enable accurate, data-driven improvement. You learn the Measure phase and key tools such as SIPOC, process maps, cause-and-effect analysis, Value Stream Mapping, and FMEA to identify risks and performance gaps. The course also covers Six Sigma statistics, Measurement System Analysis, and process capability techniques to assess variation, reliability, and short- and long-term performance, enabling confident, evidence-based improvement decisions.
By the end of this course, you will be able to: - Apply Measure Phase Tools: Define, map, and analyse processes using SIPOC, process maps, and risk analysis tools - Use Six Sigma Statistics: Analyse data using basic metrics, charts, and distributions - Validate Measurement Systems: Assess data accuracy and reliability using MSA, Gage R&R, and attribute studies - Assess Process Capability: Evaluate process performance and variation to support improvement decisions No prior advanced statistical knowledge required; ideal for professionals looking to strengthen measurement, analysis, and data-driven improvement skills in Lean Six Sigma projects.
Explore the Six Sigma Measure phase to define, map, and analyse processes. Learn Measure phase objectives and tools to document processes effectively. Create cause-and-effect and fishbone diagrams, build process maps at multiple levels, and use SIPOC for end-to-end visibility. Apply Value Stream Maps, X-Y diagrams, and FMEA to identify risks, relationships, and performance gaps, enabling accurate measurement and data-driven improvement.
What's included
17 videos1 reading4 assignments
17 videosβ’Total 41 minutes
- Introduction to Measure Phaseβ’1 minute
- Learning Objectivesβ’0 minutes
- Tools to Define a Processβ’1 minute
- Cause-and-Effect Diagramβ’1 minute
- Drawing a Fishbone Diagramβ’2 minutes
- Process Mappingβ’2 minutes
- Creating a Process Mapβ’3 minutes
- Process Mapping Levelsβ’2 minutes
- Four Types of Process Mapsβ’1 minute
- SIPOC Process Mapβ’3 minutes
- Value Stream Mapsβ’3 minutes
- Value Stream Map: Key Metrics β’4 minutes
- X-Y Diagrams or Scatter Plotsβ’7 minutes
- Failure Mode and Effects Analysis (FMEA) β’3 minutes
- FMEA Processβ’2 minutes
- FMEA Templateβ’5 minutes
- Key Takeawaysβ’1 minute
1 readingβ’Total 10 minutes
- Course Syllabusβ’10 minutes
4 assignmentsβ’Total 145 minutes
- Quiz on Understanding the Measure Phaseβ’15 minutes
- Quiz on Process Mapping and Visualizationβ’15 minutes
- Quiz on Advanced Process Analysis Toolsβ’55 minutes
- Assessment for Process Definitionβ’60 minutes
Explore Six Sigma statistics to build a foundation in data and measurement. Learn data types, measurement scales, basic statistics, and measures of central tendency and dispersion. Use graphical analysis tools such as box plots and time series plots with practical Minitab demos. Understand normal and standard normal distributions, perform normality tests, and interpret results to support accurate, data-driven decisions.
What's included
16 videos4 assignments
16 videosβ’Total 48 minutes
- Learning Objectivesβ’1 minute
- Dataβ’4 minutes
- Measurement Scalesβ’2 minutes
- Basic Statisticsβ’4 minutes
- Measures of Central Tendencyβ’3 minutes
- Measures of Dispersionβ’2 minutes
- Graphical Analysisβ’1 minute
- Graphical Analysis Toolsβ’3 minutes
- Demo: Introduction to Minitab β’14 minutes
- Demo: Box Plot One Variableβ’2 minutes
- Demo: Box Plot with Three Variablesβ’1 minute
- Demo: Time Series Plotβ’2 minutes
- Normal Distribution β’2 minutes
- Standard Normal Distributionβ’3 minutes
- Demo: Normality Testβ’2 minutes
- Key Takeawaysβ’1 minute
4 assignmentsβ’Total 145 minutes
- Quiz on Fundamentals of Data and Measurementβ’15 minutes
- Quiz on Graphical and Statistical Analysisβ’15 minutes
- Quiz on Understanding Normalityβ’55 minutes
- Assessment for Six Sigma Statisticsβ’60 minutes
Explore Measurement System Analysis to evaluate the accuracy and reliability of data in Six Sigma projects. Learn MSA fundamentals, measurement errors, and sources of variation. Assess repeatability, reproducibility, accuracy, bias, stability, and linearity. Perform MSA studies using Gage R&R and Attribute Agreement Analysis, with practical demonstrations for continuous and attribute data, to ensure measurement systems support valid analysis and confident decision-making.
What's included
19 videos4 assignments
19 videosβ’Total 25 minutes
- Learning Objectivesβ’0 minutes
- Measurement System Analysis: Overviewβ’2 minutes
- Good and Poor Measurement System Analysisβ’2 minutes
- Measurement Error: Categoriesβ’2 minutes
- MSA: Sources of Variationβ’1 minute
- Repeatabilityβ’1 minute
- Reproducibility β’1 minute
- Accuracyβ’1 minute
- Biasβ’0 minutes
- Stabilityβ’1 minute
- Linearityβ’1 minute
- Types of MSAβ’1 minute
- Gage R&R Studyβ’2 minutes
- Gage R&R: Ground Rulesβ’1 minute
- Demo: Gage R&R Continuous Dataβ’2 minutes
- Attribute Agreement Analysis (AAA)β’2 minutes
- Attribute Gage Studyβ’1 minute
- Demo: Gage R&R Attribute Dataβ’2 minutes
- Key Takeawaysβ’1 minute
4 assignmentsβ’Total 145 minutes
- Quiz on Overview of MSAβ’15 minutes
- Quiz on Assessing Measurement Accuracy and Consistencyβ’15 minutes
- Quiz on Performing MSA Studiesβ’55 minutes
- Assessment for Measurement System Analysisβ’60 minutes
Explore Process Capability to assess how well processes meet performance requirements. Learn process capability concepts, data types, and how to establish reliable performance baselines. Understand components of variation and process stability. Apply process capability indices and perform capability analysis using continuous and attribute data, including DPU, DPMO, and sigma levels. Evaluate short- and long-term process performance to drive data-driven improvement decisions.
What's included
20 videos5 assignments
20 videosβ’Total 36 minutes
- Learning Objectivesβ’1 minute
- Process Capability: Overviewβ’2 minutes
- Process Capabilitiesβ’2 minutes
- Data Typesβ’3 minutes
- Baseline Performance: Part Oneβ’2 minutes
- Baseline Performance: Part Twoβ’2 minutes
- Components of Variationβ’1 minute
- Process Stabilityβ’2 minutes
- Process Capability: Indicesβ’3 minutes
- Demo: Capability Analysis Continuous Dataβ’2 minutes
- Process Capability Indices: Exampleβ’3 minutes
- Demo: Capability Analysis Continuous Data Sigma Levelβ’1 minute
- Process Baselineβ’2 minutes
- Defects per Unitβ’1 minute
- Defects per Million Opportunitiesβ’2 minutes
- Attribute Data: Exampleβ’3 minutes
- Short-Term and Long-Term Process Capability β’3 minutes
- Key Takeawaysβ’1 minute
- Exerciseβ’1 minute
- Solutionβ’1 minute
5 assignmentsβ’Total 160 minutes
- Quiz on Understanding Process Capabilityβ’15 minutes
- Quiz on Establishing Performance Baselinesβ’15 minutes
- Quiz on Process Capability Indices and Analysisβ’15 minutes
- Quiz on Process Performance Evaluationβ’55 minutes
- Assessment for Process Capabilityβ’60 minutes
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Frequently asked questions
Beginners, business professionals, quality teams, and process improvement practitioners looking to build measurement and analysis skills using Lean Six Sigma.
Define and map processes, analyse data using Six Sigma statistics, validate measurement systems, and assess process capability to support data-driven improvement decisions.
Six Sigma Measure phase, process mapping (SIPOC, process maps), Value Stream Mapping, X-Y diagrams, FMEA, Six Sigma statistics, Measurement System Analysis (Gage R&R, Attribute Agreement Analysis), and process capability (DPU, DPMO).
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