Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill root-cause-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: root-cause-analyzer
description: Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing
allowed-tools:
- Read
- Write
- Glob
- Grep
- 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
```yaml
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
| Technique | Use Case |
|-----------|----------|
| Chi-square test | Categorical data relationships |
| Correlation analysis | Continuous variable relationships |
| Regression | Predictive relationships |
| Designed experiments | Controlled cause-effect testing |
| Pareto analysis | Vital few vs. trivial many |
## Integration Points
- Quality Management Systems
- Corrective action systems
- Statistical analysis tools
- Knowledge management systems
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