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root-cause-analyzer

root-cause-analyzer

Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing

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Documentation de la Skill

GitHub

name: root-cause-analyzer description: Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing allowed-tools:

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  • Edit metadata: specialization: operations domain: business category: six-sigma-spc graph: domains: [domain:operations] skillAreas: [skill-area:statistical-analysis, skill-area:business-analysis, skill-area:data-analytics] workflows: [workflow:vendor-onboarding, workflow:vendor-evaluation] roles: [role:operations-analyst, role:business-analyst, role:data-analyst]

Root Cause Analyzer

Overview

The Root Cause Analyzer skill provides comprehensive capabilities for systematic root cause identification and verification. It supports multiple analysis methods including 5 Whys, Ishikawa diagrams, fault tree analysis, and statistical hypothesis testing.

Capabilities

  • 5 Whys facilitation
  • Ishikawa (fishbone) diagram creation
  • Fault tree analysis (FTA)
  • Hypothesis formulation
  • Chi-square testing
  • Correlation analysis
  • Pareto chart generation
  • Root cause verification

Used By Processes

  • SIX-005: Root Cause Analysis
  • QMS-005: FMEA Facilitation
  • CI-002: A3 Problem Solving

Tools and Libraries

  • Cause analysis tools
  • Statistical testing libraries
  • Visualization platforms
  • Collaboration tools

Usage

skill: root-cause-analyzer
inputs:
  problem_statement: "25% increase in customer complaints for product X"
  analysis_method: "fishbone"  # 5_whys | fishbone | fta | is_is_not
  data:
    defect_counts_by_category:
      materials: 45
      methods: 23
      machines: 67
      manpower: 12
      measurement: 8
      environment: 5
  hypothesis_to_test: "Machine wear is causing increased defects"
outputs:
  - root_cause_diagram
  - potential_causes
  - verified_root_causes
  - pareto_analysis
  - statistical_verification
  - recommendations

Analysis Methods

5 Whys

Ask "Why?" iteratively to drill down to root cause:

  1. Why did the problem occur?
  2. Why did that happen?
  3. Why did that happen?
  4. Why did that happen?
  5. Why did that happen?

Ishikawa (Fishbone) Categories

  • Man (Manpower) - Training, skills, fatigue
  • Machine - Equipment, tools, technology
  • Method - Procedures, processes, policies
  • Material - Raw materials, consumables
  • Measurement - Inspection, calibration
  • Mother Nature (Environment) - Temperature, humidity, conditions

Fault Tree Analysis

  • Top event (undesired outcome)
  • AND gates (all inputs required)
  • OR gates (any input sufficient)
  • Basic events (root causes)

Verification Techniques

TechniqueUse Case
Chi-square testCategorical data relationships
Correlation analysisContinuous variable relationships
RegressionPredictive relationships
Designed experimentsControlled cause-effect testing
Pareto analysisVital few vs. trivial many

Integration Points

  • Quality Management Systems
  • Corrective action systems
  • Statistical analysis tools
  • Knowledge management systems
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