The Ishikawa Diagram


The Ishikawa Diagram, or Fishbone Diagram, is a visual tool used to identify and organise possible causes of a problem. It helps teams trace root causes by grouping contributing factors, supporting evidence-based analysis and guiding improvement actions (Wong, Woo & Woo, 2016; Liliana, 2016).

Technique Overview

The Ishikawa Diagram

The Ishikawa Diagram Definition

The Ishikawa Diagram, also known as the Fishbone or Cause-and-Effect Diagram, is a structured visual tool used to identify and classify the possible causes of a specific problem. Developed by Kaoru Ishikawa, it supports root cause analysis by mapping causes under broad categories such as Methods, Machines, Materials, People, Measurement and Environment (Wong, Woo & Woo, 2016; Ilie & Ciocoiu, 2010).

The Ishikawa Diagram Description *

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Business Evidence

Strengths, weaknesses and examples of The Ishikawa Diagram *

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Business Application

Implementation, success factors and measures of The Ishikawa Diagram *

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Professional Tools

The Ishikawa Diagram videos and downloads *

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Further Reading

The Ishikawa Diagram web and print resources *

The Ishikawa Diagram references (4 of up to 20) *

  • Ardha, N.B.D., Riwajanti, N.I. and Haris, Z.A. (2023) ‘Fishbone diagram: Application of root cause analysis in internal audit planning’, International Journal of Financial, Accounting, and Management, 5(3), pp. 297–309. Available at: https://doi.org/10.35912/ijfam.v5i3.1498
  • Carvalho, R., Lobo, M., Oliveira, M., Oliveira, A.R., Lopes, F., Souza, J., Ramalho, A., Viana, J., Alonso, V., Caballero, I. and Santos, J.V., 2021. Analysis of root causes of problems affecting the quality of hospital administrative data: A systematic review and Ishikawa diagram. International jou
  • Hermens, M. (1997) ‘A New Use for Ishikawa Diagrams’, Quality Progress, 30(6), American Society for Quality (ASQ). Available at: https://asq.org/quality-progress/articles/case-studies/a-new-use-for-ishikawa-diagrams?id=9f729dcc43d34dbeb52e5c1ce698d0a5&srsltid=AfmBOooTzI4uJBj-BQqmoff5QwPqYeDtlLL3RT8m
  • Ilie, G. and Ciocoiu, C.N., 2010. Application of fishbone diagram to determine the risk of an event with multiple causes. Management Research and Practice, 2(1), pp. 1–20.

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Related Concept: Collating and Formatting Data

Before any analysis can happen, data needs to be collated from correct sources and formatted so it follows clear organisational standards. Research shows that inconsistent structures and formats make data harder to combine, process and trust (Jagadish et al., 2014). Collating and formatting ensure the dataset is clean, consistent and ready for use.