SlideShare a Scribd company logo
1 of 5
Section & Lesson #:
Pre-Requisite Lessons:
Complex Tools + Clear Teaching = Powerful Results
Identify Root Causes – C&E Matrix
Six Sigma-Measure – Lesson 26
An extension of the topic on identifying root causes by showing how the
C&E Matrix is used after a C&E diagram and 5 Whys for building a DCP.
Six Sigma-Measure #25 – Identify Root Causes – Combining the
C&E Diagram and 5 Whys
Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted by any means
(electronic, mechanical, photographic, photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher.
Why Do We Need This Tool?
o Remember, our goal of building the transfer function (Y = f(X)) begins with the DCP.
• We should already know the Y, so now we need to find the potential X’s for the transfer function.
• The data collection plan (DCP) helps ensure we have enough data measuring the Y and every X.
• Below is the method previously described for helping to build the DCP:
Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be
reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic,
photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher.
2
1. Define phase
items plus Y &
defect definitions
2. Validate Y &
defect definition
with Team
3. Identify
potential X’s
4. Narrow
down to most
critical X’s
5. Build a data
collection plan
for critical X’s
INPUT to Meeting PROCESS during Meeting OUTPUT from Meeting
Tools: Cause & Effect (C&E) Diagram (a.k.a.,
Fishbone/Ishikawa diagram) and 5 Whys
Tools: Cause &
Effect (C&E) Matrix
Tools: Sample Size Calculator
& Data Collection Plan
C&E Matrix Defined
o What is a C&E Matrix?
• It’s a tool that helps evaluate and prioritize all potential root causes.
• Similar to a QFD tool, it objectively evaluates the team’s subjective opinion about the causes.
o What is the purpose of a C&E Matrix?
• Narrows down all potential causes to just the critical few that are most likely the root causes.
• Focuses the team on evaluating each cause individually and its direct impact to the effect.
• Allows for an objective comparison of how each potential cause influences each effect.
o Example of a C&E Matrix built in Excel:
Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be
reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic,
photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher.
3
Cause and Effect Matrix
9 3
Process Inputs
Process Outputs
BillingErrors
BillingCredits
Total
Potential Data Collection
Logic for each Cause
1 3 1 30
Compare billing error rate between new and experienced
employees
2 9 9 108
Compare billing error rate between customers having
recently updated contracts and those not updated; compare
differences between commercial vs. non-comm customers.
3 9 3 90
Compare billing error rate between bills affected by new rates
and those unaffected by new rates.
4 3 9 54
See #1 (outdated training materials should primarily affect
new employees coming out of training)
5 3 3 36
Compare billing error rate as monitored by QA rep between
current bills and a previous time when QA had more reps.
Quality Assurance (QA) doesn't audit enough bills > QA
doesn't have enough auditors > vacant QA positions were
never back-filled due to budget cuts
Employees entering wrong rates > employees learning an
outdated process in training > training materials don't account
for current methods
Rating of Importance (0, 1, 3, 9)
Employees entering wrong rates > new employees are more
prone to make mistakes
Billing system is slow to update rates > Commercial Sales
Reps are slow at entering contract changes > Reps aren't
incented to enter contract changes quickly
Billing system is slow to update rates > New rates are
effective before they're loaded into billing system > New rates
don't have enough lead time.
Building the C&E Matrix
o How do you build the C&E Matrix?
• It’s built collaboratively with the team and can be the natural next step from the C&E diagram.
• Get the C&E diagram and follow the steps as prioritized below:
Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be
reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic,
photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher.
4
1 3 9
Process Inputs
Process Outputs
Effect1
Effect2
Effect3
Total
Potential Data Collection
Logic for each Cause
1 0
2 0
3 0
4 0
5 0
Rating of Importance (0, 1, 3, 9)
Type each Effect/Defect from the
previously built C&E diagram(s);
exclude duplicate causes.
Assign an importance rating (0, 1,
3, or 9) for each Effect. It’s OK if
some effects have the same rating.
Type each unique
cause from the C&E
diagram on each row.
For each cause and respective effect, type a rating
of how much a cause influences that effect. Use
High (9), Medium (3), Low (1) or no influence (0).
If they struggle with an answer, try asking “If we fix that
cause, how severe would the pain of that effect still be?”
 
 The causes having the highest totals are the
most “critical”; at a minimum, these should be
measured. Type a general description of how
they can be measured (e.g., system query or
reporting, manual observation, etc.).

Practical Application
o Refer to the practical application from the pre-requisite lesson about combining the
C&E Diagram and 5 Whys concept.
• In that prior application, you should have identified some potential root causes (based on the
effect of having too high of an expense, such as fuel expense).
• Open the spreadsheet template for the C&E Matrix and begin to fill in the various components:
 Type in the name of the effect that you used.
 Assign an importance rating for each effect (if only one effect was used, then this step may be skipped).
 Type into the designated area each of the causes you identified from the prior lesson.
 Identify and type in the level of impact (9=High, 3=Medium, 1=Low) for each effect.
 Select the top causes that have the highest result in the total column.
– These represent your narrowed down list of most likely causes to the undesired effects.
• Do these top causes seem logical that they would be the top?
 If not, then there may have been some subjective bias in the results; these should be explored further.
• If you only had one effect in this exercise, then the formal C&E Matrix may seem unnecessary.
 The greatest value from the C&E Matrix is evident when you’re evaluating multiple effects across multiple
causes. To test that, just run through the exercise again by adding more effects and causes.
Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be
reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic,
photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher.
5

More Related Content

What's hot

Building a Scorecard
Building a ScorecardBuilding a Scorecard
Building a ScorecardMatt Hansen
 
Process Capability: Step 6 (Binomial)
Process Capability: Step 6 (Binomial)Process Capability: Step 6 (Binomial)
Process Capability: Step 6 (Binomial)Matt Hansen
 
MSA – Attribute ARR Test
MSA – Attribute ARR TestMSA – Attribute ARR Test
MSA – Attribute ARR TestMatt Hansen
 
Compiling Operational Definitions with Matt Hansen at StatStuff
Compiling Operational Definitions with Matt Hansen at StatStuffCompiling Operational Definitions with Matt Hansen at StatStuff
Compiling Operational Definitions with Matt Hansen at StatStuffMatt Hansen
 
Problem Resolution Using DMAIC with Matt Hansen at StatStuff
Problem Resolution Using DMAIC with Matt Hansen at StatStuffProblem Resolution Using DMAIC with Matt Hansen at StatStuff
Problem Resolution Using DMAIC with Matt Hansen at StatStuffMatt Hansen
 
Process Capability: Step 4 (Normal Distributions)
Process Capability: Step 4 (Normal Distributions)Process Capability: Step 4 (Normal Distributions)
Process Capability: Step 4 (Normal Distributions)Matt Hansen
 
The Necessity of the Measure Phase with Matt Hansen at StatStuff
The Necessity of the Measure Phase with Matt Hansen at StatStuffThe Necessity of the Measure Phase with Matt Hansen at StatStuff
The Necessity of the Measure Phase with Matt Hansen at StatStuffMatt Hansen
 
Define Phase Roadmap (Level 3) with Matt Hansen at StatStuff
Define Phase Roadmap (Level 3) with Matt Hansen at StatStuffDefine Phase Roadmap (Level 3) with Matt Hansen at StatStuff
Define Phase Roadmap (Level 3) with Matt Hansen at StatStuffMatt Hansen
 
Analyze Phase Roadmap (Level 3)
Analyze Phase Roadmap (Level 3)Analyze Phase Roadmap (Level 3)
Analyze Phase Roadmap (Level 3)Matt Hansen
 
Building a Control Plan
Building a Control PlanBuilding a Control Plan
Building a Control PlanMatt Hansen
 
Documenting a New Process with SOPs
Documenting a New Process with SOPsDocumenting a New Process with SOPs
Documenting a New Process with SOPsMatt Hansen
 
FTY and RTY with Matt Hansen at StatStuff
FTY and RTY with Matt Hansen at StatStuffFTY and RTY with Matt Hansen at StatStuff
FTY and RTY with Matt Hansen at StatStuffMatt Hansen
 
Defining the VOC and Defects
Defining the VOC and DefectsDefining the VOC and Defects
Defining the VOC and DefectsMatt Hansen
 
Control Phase Roadmap (Level 3)
Control Phase Roadmap (Level 3)Control Phase Roadmap (Level 3)
Control Phase Roadmap (Level 3)Matt Hansen
 
Piloting Solutions: Build the Pilot Plan
Piloting Solutions: Build the Pilot PlanPiloting Solutions: Build the Pilot Plan
Piloting Solutions: Build the Pilot PlanMatt Hansen
 
Developing a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuff
Developing a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuffDeveloping a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuff
Developing a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuffMatt Hansen
 
Process Capability: Step 5 (Non-Normal Distributions)
Process Capability: Step 5 (Non-Normal Distributions)Process Capability: Step 5 (Non-Normal Distributions)
Process Capability: Step 5 (Non-Normal Distributions)Matt Hansen
 
Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)
Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)
Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)Matt Hansen
 
Project Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuff
Project Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuffProject Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuff
Project Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuffMatt Hansen
 
Closing a Project
Closing a ProjectClosing a Project
Closing a ProjectMatt Hansen
 

What's hot (20)

Building a Scorecard
Building a ScorecardBuilding a Scorecard
Building a Scorecard
 
Process Capability: Step 6 (Binomial)
Process Capability: Step 6 (Binomial)Process Capability: Step 6 (Binomial)
Process Capability: Step 6 (Binomial)
 
MSA – Attribute ARR Test
MSA – Attribute ARR TestMSA – Attribute ARR Test
MSA – Attribute ARR Test
 
Compiling Operational Definitions with Matt Hansen at StatStuff
Compiling Operational Definitions with Matt Hansen at StatStuffCompiling Operational Definitions with Matt Hansen at StatStuff
Compiling Operational Definitions with Matt Hansen at StatStuff
 
Problem Resolution Using DMAIC with Matt Hansen at StatStuff
Problem Resolution Using DMAIC with Matt Hansen at StatStuffProblem Resolution Using DMAIC with Matt Hansen at StatStuff
Problem Resolution Using DMAIC with Matt Hansen at StatStuff
 
Process Capability: Step 4 (Normal Distributions)
Process Capability: Step 4 (Normal Distributions)Process Capability: Step 4 (Normal Distributions)
Process Capability: Step 4 (Normal Distributions)
 
The Necessity of the Measure Phase with Matt Hansen at StatStuff
The Necessity of the Measure Phase with Matt Hansen at StatStuffThe Necessity of the Measure Phase with Matt Hansen at StatStuff
The Necessity of the Measure Phase with Matt Hansen at StatStuff
 
Define Phase Roadmap (Level 3) with Matt Hansen at StatStuff
Define Phase Roadmap (Level 3) with Matt Hansen at StatStuffDefine Phase Roadmap (Level 3) with Matt Hansen at StatStuff
Define Phase Roadmap (Level 3) with Matt Hansen at StatStuff
 
Analyze Phase Roadmap (Level 3)
Analyze Phase Roadmap (Level 3)Analyze Phase Roadmap (Level 3)
Analyze Phase Roadmap (Level 3)
 
Building a Control Plan
Building a Control PlanBuilding a Control Plan
Building a Control Plan
 
Documenting a New Process with SOPs
Documenting a New Process with SOPsDocumenting a New Process with SOPs
Documenting a New Process with SOPs
 
FTY and RTY with Matt Hansen at StatStuff
FTY and RTY with Matt Hansen at StatStuffFTY and RTY with Matt Hansen at StatStuff
FTY and RTY with Matt Hansen at StatStuff
 
Defining the VOC and Defects
Defining the VOC and DefectsDefining the VOC and Defects
Defining the VOC and Defects
 
Control Phase Roadmap (Level 3)
Control Phase Roadmap (Level 3)Control Phase Roadmap (Level 3)
Control Phase Roadmap (Level 3)
 
Piloting Solutions: Build the Pilot Plan
Piloting Solutions: Build the Pilot PlanPiloting Solutions: Build the Pilot Plan
Piloting Solutions: Build the Pilot Plan
 
Developing a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuff
Developing a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuffDeveloping a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuff
Developing a Project Strategy Using IPO-FAT Tool with Matt Hansen at StatStuff
 
Process Capability: Step 5 (Non-Normal Distributions)
Process Capability: Step 5 (Non-Normal Distributions)Process Capability: Step 5 (Non-Normal Distributions)
Process Capability: Step 5 (Non-Normal Distributions)
 
Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)
Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)
Lean and Six Sigma Project Methodologies by Matt Hansen at StatStuff (S03)
 
Project Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuff
Project Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuffProject Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuff
Project Pre-Assessment Using a Min/Max Analysis with Matt Hansen at StatStuff
 
Closing a Project
Closing a ProjectClosing a Project
Closing a Project
 

Similar to Identify Root Causes – C&E Matrix

Identify Root Causes – DCP Overview
Identify Root Causes – DCP OverviewIdentify Root Causes – DCP Overview
Identify Root Causes – DCP OverviewMatt Hansen
 
New 7QC tools for the quality person during RCa
New 7QC tools for the quality person during RCaNew 7QC tools for the quality person during RCa
New 7QC tools for the quality person during RCaAravindhNagaraj1
 
Building a Problem Statement with Matt Hansen at StatStuff
Building a Problem Statement with Matt Hansen at StatStuffBuilding a Problem Statement with Matt Hansen at StatStuff
Building a Problem Statement with Matt Hansen at StatStuffMatt Hansen
 
Brainstorm & Prioritize Solutions with a Workout
Brainstorm & Prioritize Solutions with a WorkoutBrainstorm & Prioritize Solutions with a Workout
Brainstorm & Prioritize Solutions with a WorkoutMatt Hansen
 
6.1 presentation 606
6.1 presentation 6066.1 presentation 606
6.1 presentation 606Scott Bohlin
 
Prioritize Solutions with an Impact Matrix
Prioritize Solutions with an Impact MatrixPrioritize Solutions with an Impact Matrix
Prioritize Solutions with an Impact MatrixMatt Hansen
 
THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...
THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...
THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...IJDKP
 
Testing for Multicollinearity
Testing for MulticollinearityTesting for Multicollinearity
Testing for MulticollinearityMatt Hansen
 
Lecture 3 Statistical ProcessControl (SPC).docx
Lecture 3 Statistical ProcessControl (SPC).docxLecture 3 Statistical ProcessControl (SPC).docx
Lecture 3 Statistical ProcessControl (SPC).docxsmile790243
 
SE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.pptSE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.pptvishal choudhary
 
Problem solving use a fishbone diagram
Problem solving use a fishbone diagramProblem solving use a fishbone diagram
Problem solving use a fishbone diagramJohnRicoPanjaitan
 
THE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESS
THE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESSTHE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESS
THE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESSVESIT/University of Mumbai
 
Qm0022 tqm tools and techniques
Qm0022 tqm tools and techniquesQm0022 tqm tools and techniques
Qm0022 tqm tools and techniquesStudy Stuff
 
Hypothesis Testing: Spread (Compare 1:1)
Hypothesis Testing: Spread (Compare 1:1)Hypothesis Testing: Spread (Compare 1:1)
Hypothesis Testing: Spread (Compare 1:1)Matt Hansen
 

Similar to Identify Root Causes – C&E Matrix (20)

Identify Root Causes – DCP Overview
Identify Root Causes – DCP OverviewIdentify Root Causes – DCP Overview
Identify Root Causes – DCP Overview
 
C O N T R O L L P R E S E N T A T I O N
C O N T R O L L  P R E S E N T A T I O NC O N T R O L L  P R E S E N T A T I O N
C O N T R O L L P R E S E N T A T I O N
 
New 7QC tools for the quality person during RCa
New 7QC tools for the quality person during RCaNew 7QC tools for the quality person during RCa
New 7QC tools for the quality person during RCa
 
Building a Problem Statement with Matt Hansen at StatStuff
Building a Problem Statement with Matt Hansen at StatStuffBuilding a Problem Statement with Matt Hansen at StatStuff
Building a Problem Statement with Matt Hansen at StatStuff
 
Brainstorm & Prioritize Solutions with a Workout
Brainstorm & Prioritize Solutions with a WorkoutBrainstorm & Prioritize Solutions with a Workout
Brainstorm & Prioritize Solutions with a Workout
 
C & E Matrix.ppt
C & E Matrix.pptC & E Matrix.ppt
C & E Matrix.ppt
 
6.1 presentation 606
6.1 presentation 6066.1 presentation 606
6.1 presentation 606
 
Prioritize Solutions with an Impact Matrix
Prioritize Solutions with an Impact MatrixPrioritize Solutions with an Impact Matrix
Prioritize Solutions with an Impact Matrix
 
THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...
THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...
THE 5 DIMENSIONS OF PROBLEM SOLVING USING DINNA: CASE STUDY IN THE ELECTRONIC...
 
Testing for Multicollinearity
Testing for MulticollinearityTesting for Multicollinearity
Testing for Multicollinearity
 
Lecture 3 Statistical ProcessControl (SPC).docx
Lecture 3 Statistical ProcessControl (SPC).docxLecture 3 Statistical ProcessControl (SPC).docx
Lecture 3 Statistical ProcessControl (SPC).docx
 
SE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.pptSE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.ppt
 
Problem solving use a fishbone diagram
Problem solving use a fishbone diagramProblem solving use a fishbone diagram
Problem solving use a fishbone diagram
 
Cause effect diagram
Cause effect diagramCause effect diagram
Cause effect diagram
 
THE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESS
THE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESSTHE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESS
THE APPLICATION OF CAUSE EFFECT GRAPH FOR THE COLLEGE PLACEMENT PROCESS
 
7 QC Tools.ppt
7 QC Tools.ppt7 QC Tools.ppt
7 QC Tools.ppt
 
Assign3
Assign3Assign3
Assign3
 
Qm0022 tqm tools and techniques
Qm0022 tqm tools and techniquesQm0022 tqm tools and techniques
Qm0022 tqm tools and techniques
 
Hypothesis Testing: Spread (Compare 1:1)
Hypothesis Testing: Spread (Compare 1:1)Hypothesis Testing: Spread (Compare 1:1)
Hypothesis Testing: Spread (Compare 1:1)
 
Risk Adjusted Estimating Techniques
Risk Adjusted Estimating TechniquesRisk Adjusted Estimating Techniques
Risk Adjusted Estimating Techniques
 

More from Matt Hansen

Getting Feedback with a Plus/Delta Tool
Getting Feedback with a Plus/Delta ToolGetting Feedback with a Plus/Delta Tool
Getting Feedback with a Plus/Delta ToolMatt Hansen
 
Control Charts: Recalculating Control Limits
Control Charts: Recalculating Control LimitsControl Charts: Recalculating Control Limits
Control Charts: Recalculating Control LimitsMatt Hansen
 
Control Charts: U Chart
Control Charts: U ChartControl Charts: U Chart
Control Charts: U ChartMatt Hansen
 
Control Charts: P Chart
Control Charts: P ChartControl Charts: P Chart
Control Charts: P ChartMatt Hansen
 
Control Charts: Xbar-S Chart
Control Charts: Xbar-S ChartControl Charts: Xbar-S Chart
Control Charts: Xbar-S ChartMatt Hansen
 
Control Charts: I-MR Chart
Control Charts: I-MR ChartControl Charts: I-MR Chart
Control Charts: I-MR ChartMatt Hansen
 
Control Charts: Finding the Right Control Chart
Control Charts: Finding the Right Control ChartControl Charts: Finding the Right Control Chart
Control Charts: Finding the Right Control ChartMatt Hansen
 
Piloting Solutions: The Process
Piloting Solutions: The ProcessPiloting Solutions: The Process
Piloting Solutions: The ProcessMatt Hansen
 
Risk Assessment with a FMEA Tool
Risk Assessment with a FMEA ToolRisk Assessment with a FMEA Tool
Risk Assessment with a FMEA ToolMatt Hansen
 
Brainstorm Solutions with an Affinity Diagram
Brainstorm Solutions with an Affinity DiagramBrainstorm Solutions with an Affinity Diagram
Brainstorm Solutions with an Affinity DiagramMatt Hansen
 
Compiling Analysis Results
Compiling Analysis ResultsCompiling Analysis Results
Compiling Analysis ResultsMatt Hansen
 
Improve Phase Roadmap (Level 3)
Improve Phase Roadmap (Level 3)Improve Phase Roadmap (Level 3)
Improve Phase Roadmap (Level 3)Matt Hansen
 
Hypothesis Testing: Relationships (Compare 2+ Factors)
Hypothesis Testing: Relationships (Compare 2+ Factors)Hypothesis Testing: Relationships (Compare 2+ Factors)
Hypothesis Testing: Relationships (Compare 2+ Factors)Matt Hansen
 
Hypothesis Testing: Relationships (Compare 1:1)
Hypothesis Testing: Relationships (Compare 1:1)Hypothesis Testing: Relationships (Compare 1:1)
Hypothesis Testing: Relationships (Compare 1:1)Matt Hansen
 
Hypothesis Testing: Relationships (Overview)
Hypothesis Testing: Relationships (Overview)Hypothesis Testing: Relationships (Overview)
Hypothesis Testing: Relationships (Overview)Matt Hansen
 
Hypothesis Testing: Spread (Compare 2+ Factors)
Hypothesis Testing: Spread (Compare 2+ Factors)Hypothesis Testing: Spread (Compare 2+ Factors)
Hypothesis Testing: Spread (Compare 2+ Factors)Matt Hansen
 
Hypothesis Testing: Spread (Compare 1:Standard)
Hypothesis Testing: Spread (Compare 1:Standard)Hypothesis Testing: Spread (Compare 1:Standard)
Hypothesis Testing: Spread (Compare 1:Standard)Matt Hansen
 
Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)Matt Hansen
 
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)Matt Hansen
 
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)Matt Hansen
 

More from Matt Hansen (20)

Getting Feedback with a Plus/Delta Tool
Getting Feedback with a Plus/Delta ToolGetting Feedback with a Plus/Delta Tool
Getting Feedback with a Plus/Delta Tool
 
Control Charts: Recalculating Control Limits
Control Charts: Recalculating Control LimitsControl Charts: Recalculating Control Limits
Control Charts: Recalculating Control Limits
 
Control Charts: U Chart
Control Charts: U ChartControl Charts: U Chart
Control Charts: U Chart
 
Control Charts: P Chart
Control Charts: P ChartControl Charts: P Chart
Control Charts: P Chart
 
Control Charts: Xbar-S Chart
Control Charts: Xbar-S ChartControl Charts: Xbar-S Chart
Control Charts: Xbar-S Chart
 
Control Charts: I-MR Chart
Control Charts: I-MR ChartControl Charts: I-MR Chart
Control Charts: I-MR Chart
 
Control Charts: Finding the Right Control Chart
Control Charts: Finding the Right Control ChartControl Charts: Finding the Right Control Chart
Control Charts: Finding the Right Control Chart
 
Piloting Solutions: The Process
Piloting Solutions: The ProcessPiloting Solutions: The Process
Piloting Solutions: The Process
 
Risk Assessment with a FMEA Tool
Risk Assessment with a FMEA ToolRisk Assessment with a FMEA Tool
Risk Assessment with a FMEA Tool
 
Brainstorm Solutions with an Affinity Diagram
Brainstorm Solutions with an Affinity DiagramBrainstorm Solutions with an Affinity Diagram
Brainstorm Solutions with an Affinity Diagram
 
Compiling Analysis Results
Compiling Analysis ResultsCompiling Analysis Results
Compiling Analysis Results
 
Improve Phase Roadmap (Level 3)
Improve Phase Roadmap (Level 3)Improve Phase Roadmap (Level 3)
Improve Phase Roadmap (Level 3)
 
Hypothesis Testing: Relationships (Compare 2+ Factors)
Hypothesis Testing: Relationships (Compare 2+ Factors)Hypothesis Testing: Relationships (Compare 2+ Factors)
Hypothesis Testing: Relationships (Compare 2+ Factors)
 
Hypothesis Testing: Relationships (Compare 1:1)
Hypothesis Testing: Relationships (Compare 1:1)Hypothesis Testing: Relationships (Compare 1:1)
Hypothesis Testing: Relationships (Compare 1:1)
 
Hypothesis Testing: Relationships (Overview)
Hypothesis Testing: Relationships (Overview)Hypothesis Testing: Relationships (Overview)
Hypothesis Testing: Relationships (Overview)
 
Hypothesis Testing: Spread (Compare 2+ Factors)
Hypothesis Testing: Spread (Compare 2+ Factors)Hypothesis Testing: Spread (Compare 2+ Factors)
Hypothesis Testing: Spread (Compare 2+ Factors)
 
Hypothesis Testing: Spread (Compare 1:Standard)
Hypothesis Testing: Spread (Compare 1:Standard)Hypothesis Testing: Spread (Compare 1:Standard)
Hypothesis Testing: Spread (Compare 1:Standard)
 
Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 2+ Factors)
 
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:1)
 
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)
Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)
 

Recently uploaded

Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfpollardmorgan
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis UsageNeil Kimberley
 
Banana Powder Manufacturing Plant Project Report 2024 Edition.pptx
Banana Powder Manufacturing Plant Project Report 2024 Edition.pptxBanana Powder Manufacturing Plant Project Report 2024 Edition.pptx
Banana Powder Manufacturing Plant Project Report 2024 Edition.pptxgeorgebrinton95
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...lizamodels9
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdfRenandantas16
 
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130  Available With RoomVIP Kolkata Call Girl Howrah 👉 8250192130  Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Roomdivyansh0kumar0
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMRavindra Nath Shukla
 
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc.../:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...lizamodels9
 
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiFULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiMalviyaNagarCallGirl
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedKaiNexus
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdfOrient Homes
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...lizamodels9
 
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts ServiceVip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Serviceankitnayak356677
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Dipal Arora
 
Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.Eni
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurSuhani Kapoor
 

Recently uploaded (20)

Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage
 
Banana Powder Manufacturing Plant Project Report 2024 Edition.pptx
Banana Powder Manufacturing Plant Project Report 2024 Edition.pptxBanana Powder Manufacturing Plant Project Report 2024 Edition.pptx
Banana Powder Manufacturing Plant Project Report 2024 Edition.pptx
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
 
Best Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting PartnershipBest Practices for Implementing an External Recruiting Partnership
Best Practices for Implementing an External Recruiting Partnership
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
 
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130  Available With RoomVIP Kolkata Call Girl Howrah 👉 8250192130  Available With Room
VIP Kolkata Call Girl Howrah 👉 8250192130 Available With Room
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSM
 
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc.../:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
/:Call Girls In Jaypee Siddharth - 5 Star Hotel New Delhi ➥9990211544 Top Esc...
 
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | DelhiFULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
FULL ENJOY - 9953040155 Call Girls in Chhatarpur | Delhi
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
 
Catalogue ONG NUOC PPR DE NHAT .pdf
Catalogue ONG NUOC PPR DE NHAT      .pdfCatalogue ONG NUOC PPR DE NHAT      .pdf
Catalogue ONG NUOC PPR DE NHAT .pdf
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
 
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
Lowrate Call Girls In Laxmi Nagar Delhi ❤️8860477959 Escorts 100% Genuine Ser...
 
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts ServiceVip Female Escorts Noida 9711199171 Greater Noida Escorts Service
Vip Female Escorts Noida 9711199171 Greater Noida Escorts Service
 
KestrelPro Flyer Japan IT Week 2024 (English)
KestrelPro Flyer Japan IT Week 2024 (English)KestrelPro Flyer Japan IT Week 2024 (English)
KestrelPro Flyer Japan IT Week 2024 (English)
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
 
Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.Eni 2024 1Q Results - 24.04.24 business.
Eni 2024 1Q Results - 24.04.24 business.
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
 

Identify Root Causes – C&E Matrix

  • 1. Section & Lesson #: Pre-Requisite Lessons: Complex Tools + Clear Teaching = Powerful Results Identify Root Causes – C&E Matrix Six Sigma-Measure – Lesson 26 An extension of the topic on identifying root causes by showing how the C&E Matrix is used after a C&E diagram and 5 Whys for building a DCP. Six Sigma-Measure #25 – Identify Root Causes – Combining the C&E Diagram and 5 Whys Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic, photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher.
  • 2. Why Do We Need This Tool? o Remember, our goal of building the transfer function (Y = f(X)) begins with the DCP. • We should already know the Y, so now we need to find the potential X’s for the transfer function. • The data collection plan (DCP) helps ensure we have enough data measuring the Y and every X. • Below is the method previously described for helping to build the DCP: Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic, photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher. 2 1. Define phase items plus Y & defect definitions 2. Validate Y & defect definition with Team 3. Identify potential X’s 4. Narrow down to most critical X’s 5. Build a data collection plan for critical X’s INPUT to Meeting PROCESS during Meeting OUTPUT from Meeting Tools: Cause & Effect (C&E) Diagram (a.k.a., Fishbone/Ishikawa diagram) and 5 Whys Tools: Cause & Effect (C&E) Matrix Tools: Sample Size Calculator & Data Collection Plan
  • 3. C&E Matrix Defined o What is a C&E Matrix? • It’s a tool that helps evaluate and prioritize all potential root causes. • Similar to a QFD tool, it objectively evaluates the team’s subjective opinion about the causes. o What is the purpose of a C&E Matrix? • Narrows down all potential causes to just the critical few that are most likely the root causes. • Focuses the team on evaluating each cause individually and its direct impact to the effect. • Allows for an objective comparison of how each potential cause influences each effect. o Example of a C&E Matrix built in Excel: Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic, photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher. 3 Cause and Effect Matrix 9 3 Process Inputs Process Outputs BillingErrors BillingCredits Total Potential Data Collection Logic for each Cause 1 3 1 30 Compare billing error rate between new and experienced employees 2 9 9 108 Compare billing error rate between customers having recently updated contracts and those not updated; compare differences between commercial vs. non-comm customers. 3 9 3 90 Compare billing error rate between bills affected by new rates and those unaffected by new rates. 4 3 9 54 See #1 (outdated training materials should primarily affect new employees coming out of training) 5 3 3 36 Compare billing error rate as monitored by QA rep between current bills and a previous time when QA had more reps. Quality Assurance (QA) doesn't audit enough bills > QA doesn't have enough auditors > vacant QA positions were never back-filled due to budget cuts Employees entering wrong rates > employees learning an outdated process in training > training materials don't account for current methods Rating of Importance (0, 1, 3, 9) Employees entering wrong rates > new employees are more prone to make mistakes Billing system is slow to update rates > Commercial Sales Reps are slow at entering contract changes > Reps aren't incented to enter contract changes quickly Billing system is slow to update rates > New rates are effective before they're loaded into billing system > New rates don't have enough lead time.
  • 4. Building the C&E Matrix o How do you build the C&E Matrix? • It’s built collaboratively with the team and can be the natural next step from the C&E diagram. • Get the C&E diagram and follow the steps as prioritized below: Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic, photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher. 4 1 3 9 Process Inputs Process Outputs Effect1 Effect2 Effect3 Total Potential Data Collection Logic for each Cause 1 0 2 0 3 0 4 0 5 0 Rating of Importance (0, 1, 3, 9) Type each Effect/Defect from the previously built C&E diagram(s); exclude duplicate causes. Assign an importance rating (0, 1, 3, or 9) for each Effect. It’s OK if some effects have the same rating. Type each unique cause from the C&E diagram on each row. For each cause and respective effect, type a rating of how much a cause influences that effect. Use High (9), Medium (3), Low (1) or no influence (0). If they struggle with an answer, try asking “If we fix that cause, how severe would the pain of that effect still be?”    The causes having the highest totals are the most “critical”; at a minimum, these should be measured. Type a general description of how they can be measured (e.g., system query or reporting, manual observation, etc.). 
  • 5. Practical Application o Refer to the practical application from the pre-requisite lesson about combining the C&E Diagram and 5 Whys concept. • In that prior application, you should have identified some potential root causes (based on the effect of having too high of an expense, such as fuel expense). • Open the spreadsheet template for the C&E Matrix and begin to fill in the various components:  Type in the name of the effect that you used.  Assign an importance rating for each effect (if only one effect was used, then this step may be skipped).  Type into the designated area each of the causes you identified from the prior lesson.  Identify and type in the level of impact (9=High, 3=Medium, 1=Low) for each effect.  Select the top causes that have the highest result in the total column. – These represent your narrowed down list of most likely causes to the undesired effects. • Do these top causes seem logical that they would be the top?  If not, then there may have been some subjective bias in the results; these should be explored further. • If you only had one effect in this exercise, then the formal C&E Matrix may seem unnecessary.  The greatest value from the C&E Matrix is evident when you’re evaluating multiple effects across multiple causes. To test that, just run through the exercise again by adding more effects and causes. Copyright © 2011-2019 by Matthew J. Hansen. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted by any means (electronic, mechanical, photographic, photocopying, recording or otherwise) without prior permission in writing by the author and/or publisher. 5