Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
  • Articles
    • CRE Preparation Notes
    • NoMTBF
    • on Leadership & Career
      • Advanced Engineering Culture
      • ASQR&R
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • AI & Predictive Maintenance
      • Asset Management in the Mining Industry
      • CMMS and Maintenance Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • History of Maintenance Management
      • Life Cycle Asset Management
      • Maintenance and Reliability
      • Maintenance Management
      • Plant Maintenance
      • Process Plant Reliability Engineering
      • RCM Blitz®
      • ReliabilityXperience
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The People Side of Maintenance
      • The Reliability Mindset
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Field Reliability Data Analysis
      • Metals Engineering and Product Reliability
      • Musings on Reliability and Maintenance Topics
      • Product Validation
      • Reliability by Design
      • Reliability Competence
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
      • Reliability Knowledge
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
      • Operational Risk Process Safety
    • on Systems Thinking
      • Communicating with FINESSE
      • The RCA
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside and Beyond HALT
      • Inside FMEA
      • Institute of Quality & Reliability
      • Integral Concepts
      • Learning from Failures
      • Progress in Field Reliability?
      • R for Engineering
      • Reliability Engineering Using Python
      • Reliability Reflections
      • Statistical Methods for Failure-Time Data
      • Testing 1 2 3
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Podcasts
  • Courses
    • Your Courses
    • Live Courses
      • Introduction to Reliability Engineering & Accelerated Testings Course Landing Page
      • Advanced Accelerated Testing Course Landing Page
    • Integral Concepts Courses
      • Reliability Analysis Methods Course Landing Page
      • Applied Reliability Analysis Course Landing Page
      • Statistics, Hypothesis Testing, & Regression Modeling Course Landing Page
      • Measurement System Assessment Course Landing Page
      • SPC & Process Capability Course Landing Page
      • Design of Experiments Course Landing Page
    • The Manufacturing Academy Courses
      • An Introduction to Reliability Engineering
      • Reliability Engineering Statistics
      • An Introduction to Quality Engineering
      • Quality Engineering Statistics
      • FMEA in Practice
      • Process Capability Analysis course
      • Root Cause Analysis and the 8D Corrective Action Process course
      • Return on Investment online course
    • Industrial Metallurgist Courses
    • FMEA courses Powered by The Luminous Group
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
  • Barringer Process Reliability Introduction Course Landing Page
  • Upcoming Live Events
You are here: Home / Articles / An Introduction to the Cause and Effect Diagram

by Fred Schenkelberg Leave a Comment

An Introduction to the Cause and Effect Diagram

An Introduction to the Cause and Effect Diagram

Also called the Ishikawa or fishbone diagram, the cause and effect diagram is a graphical tool that enables a team to identify, categorize, and examine possible causes related to an issue. The intent is to expose the most likely root causes for further investigation.

This diagram is part of a complex failure analysis process when there are many potential causes for the problem or condition. Similar to a brainstorm session about the problem, this graphical tool provides a bit of structure and may prompt additional potential causes.

The Ishikawa diagram is one of the seven basic tools of quality control.

Benefits of a Cause and Effect Diagram

There are four significant benefits to using a fishbone diagram with a team, or even on your own.

  1. It helps to avoid anchoring. One issue with any brainstorming process is the early ideas become a focal point for future ideas. The fishbone diagram starts with categories of potential causes. This helps you and the team think about the range of different potential causes of the problem.
  2. It is visual. This process is inherently visual and uses a simple branching structure to quickly organize potential causes. At first, the ideas flush out the categories and may include secondary (or more) branches from the initial ideas along a similar line of reasoning.
  3. The diagram captures the current thinking around a problem. It not only captures all the possible causes it also organizes them into categories and subcategories.
  4. Focuses the team on causes and not symptoms. Engineers seem to be ready to solve symptoms without first understanding the root causes. This tool really only focuses on one question: What is a cause of this problem?

Steps to Create a Cause and Effect Diagram

Fishbone Diagram Basic Structure
  1. Start with a basic fishbone diagram as above. the box with the problem statement is to the right (taking advantage of time progress to reinforce the causes, which occur before the problem occurs).
  2. Write a clear problem statement. Include a title or summary in the box on the diagram, yet capture the complete problem statement elsewhere. Include elements such as who, what, when, where, and how much in the full problem statement. Be specific. Make sure everyone fully understands the problem statement.
  3. Add four to six (or as many as appropriate ‘bones’ or primary branches to the diagram. List the major categories for potential causes. A common set may include:
    • Material
    • Measurement
    • Methods or procedures
    • Machines or equipment
    • Manpower (people, staying with M words here)
    • Environment (some use Mother Nature)

    Use as few or as many as necessary. If during the process a new category emerges simply add another primary branch.

  4. Given the problem, start the brainstorm session by asking “why does this happen?” Write down the cause by adding a branch to the appropriate primary branch. Ask ‘why does this happen again for that causes and add sub-branches as needed for the suggested causes. Think ‘5 Whys’ method here to drill down to fundamental or root causes.
  5. Continue to add causes and asking why till all causes are recorded.
  6. Re-set thinking by shifting focus to a category that has only a few potential causes.
  7. Capture notes on necessary additional information, potential experiments, etc as to not slow down or distract the process of listing causes.
  8. With a large assortment of potential causes, the next step is to narrow down the potential causes to investigate. There might be an obvious few causes that are most likely to be the root cause(s) of the problem, in which cases pursue those ideas. If it is not clear, ask the group to estimate the likelihood of the cause leading to the problem, the pursue the most likely. Another technique to narrow done candidate ideas to investigate is multi-voting.
  9. Work toward solving the problem and revise the diagram as new information becomes available or initial causes investigated did not lead to a solution for the problem. The underlying causes may be not obvious or a cause that is less likely than others.

Best Practices

Get consensus on a very clear problem statement if it doesn’t exist already. This helps keep the focus on causes that lead to the same problem.

Be flexible with the major categories and adjust them as needed to fit the circumstances of the particular problem.

It is a brainstorming session, therefore, refrain from critiquing or judging causes as they are suggested. There is time later to filter the frivolous suggestions, yet those suggestions may spark the line of thinking that leads to an elegant solution.

Avoid using a computer screen that limits the visibility of the entire diagram. Instead, use a large white board or wall covered in paper. Make the entire diagram visible to the entire tea.

Summary

Enjoy the process. It should be fun and quick.

Fishbone diagraming is a useful tool when working to identify root causes of a problem during a root cause investigation with a team.

It adds a bit of structure to brainstorming and reinforces the focus on causes and not symptoms.

Finally, if you have or know of a great set of examples of fishbone diagrams and are willing to share them with this article, please send them over.

Filed Under: Articles, CRE Preparation Notes, Reliability Management

About Fred Schenkelberg

I am the reliability expert at FMS Reliability, a reliability engineering and management consulting firm I founded in 2004. I left Hewlett Packard (HP)’s Reliability Team, where I helped create a culture of reliability across the corporation, to assist other organizations.

« Parameter Diagram and FMEA
Status of ERM in the U.S. Federal Government »

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

CRE Preparation Notes

Article by Fred Schenkelberg

Join Accendo

Join our members-only community for full access to exclusive eBooks, webinars, training, and more.

It’s free and only takes a minute.

Get Full Site Access

Not ready to join?
Stay current on new articles, podcasts, webinars, courses and more added to the Accendo Reliability website each week.
No membership required to subscribe.

[popup type="" link_text="Get Weekly Email Updates" link_class="button" ][display_form id=266][/popup]

  • CRE Preparation Notes
  • CRE Prep
  • Reliability Management
  • Probability and Statistics for Reliability
  • Reliability in Design and Development
  • Reliability Modeling and Predictions
  • Reliability Testing
  • Maintainability and Availability
  • Data Collection and Use

© 2025 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy