What is a Fishbone Diagram, how is it used?

A Fishbone Diagram (also called Ishikawa Diagram or Cause-and-Effect Diagram) is a visual tool used to systematically identify and organize all possible causes of a specific problem or effect. It was developed by Dr. Kaoru Ishikawa in the 1960s. The diagram looks like a fish skeleton: The “head” of the fish is the problem/effect you want to solve. The “bones” branching off […]

Fishbone Diagram (also called Ishikawa Diagram or Cause-and-Effect Diagram) is a visual tool used to systematically identify and organize all possible causes of a specific problem or effect. It was developed by Dr. Kaoru Ishikawa in the 1960s.

The diagram looks like a fish skeleton:

  • The “head” of the fish is the problem/effect you want to solve.
  • The “bones” branching off the spine are the major categories of causes.
  • Smaller bones branching off are the specific causes within each category.

Why use it?

  • Forces teams to think through all possible causes (not just the obvious ones)
  • Prevents jumping to conclusions
  • Encourages cross-functional collaboration
  • Very useful in root cause analysis (RCA), quality improvement, Six Sigma, Lean, etc.

How to Create and Use a Fishbone Diagram (Step-by-Step)

  1. Define the problem clearly
    Write it in a box on the right (the “head”). Be specific.
    Example: “Customer complaints about late deliveries increased by 40% in Q3”
  2. Draw the main spine
    A horizontal arrow pointing to the problem.
  3. Identify major cause categories (the big bones)
    Common categories (the 6 Ms for manufacturing, or adapt to your industry):

    • Man (People)
    • Method (Processes)
    • Machine (Equipment/Technology)
    • Material
    • Measurement
    • Mother Nature (Environment)

    For service/industry, people often use:

    • People, Policies, Procedures, Plant/Technology, etc.
  4. Brainstorm all possible causes
    Ask “Why does this happen?” repeatedly (5 Whys technique helps).
    Write each cause as a branch off the relevant category.
  5. Go deeper
    For each cause, ask “Why?” again and add sub-causes (smaller bones).
  6. Analyze and prioritize
    Circle the most likely root causes (use voting, data, Pareto, etc.).
  7. Develop action plan
    Address the confirmed root causes.

Practical Case Study: Restaurant Getting Complaints About Cold Food

Problem (Head of the fish):
“Customers frequently complain that food arrives cold” (complaints rose from 3 to 18 per week)

Fishbone Diagram Categories Used:
We used 6 categories suitable for a restaurant:

  1. People (Staff)
    • Servers forget to check food temperature before leaving kitchen
    • New staff not trained on urgency
    • Kitchen and serving staff not communicating
    • Too few servers during peak hours → delay
  2. Processes (Methods)
    • No standard procedure for checking food temperature
    • Food waits too long on the pass before being served
    • Tickets not prioritized correctly during rush
    • No “food ready” notification system between kitchen and floor
  3. Equipment (Machines)
    • Heat lamps broken or insufficient
    • Plates not pre-heated
    • Delivery trays too small → food stacked and cools faster
    • Old warming drawers not maintaining temperature
  4. Materials
    • Some dishes (e.g., pasta) cool faster than others
    • Large portion sizes take longer to eat → perceived as cold
  5. Environment (Mother Nature/Place)
    • Dining room AC set too low near some tables
    • Long walking distance from kitchen to farthest tables
    • Draft from entrance door
  6. Measurement (or Management)
    • No tracking of time from “food ready” to “delivered to table”
    • No temperature checks logged
    • No customer feedback analyzed by dish/table location

Root Causes Identified After Investigation (circled on the diagram):

  • Heat lamps were broken for 3 weeks (maintenance backlog)
  • No policy to pre-heat plates
  • Average time from kitchen to table was 4.5 minutes during peak (target should be <2 min)
  • Servers overloaded: 1 server handling 9 tables instead of max 6

Actions Taken:

  1. Repaired/replaced heat lamps same week
  2. Implemented plate pre-heating in salamander broiler
  3. Added a runner position during peak hours
  4. Created a simple checklist: food temperature >60°C before leaving pass
  5. Installed digital ticket system with timers

Result:
Cold food complaints dropped from 18 to 2 per week within one month.

Leave a Comment

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