🔬 Root Cause Analysis Skill

Philosophy: Don't stop at the first "why" — dig until you hit bedrock.

When to Use

Use this skill when:

• Systematic debugging found the bug but not WHY it exists
• Issue keeps recurring despite fixes
• Bug seems to have multiple contributing factors
• You need to prevent similar bugs in the future
• There's a systemic/architectural issue suspected

Do NOT use this skill when:

• Bug is simple and obvious
• Time is extremely limited (use quick-fix)
• Just need to patch, not understand

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Prerequisites

Before starting:

• Bug has been identified (what is happening)
• Have access to relevant code and history
• Understand the system architecture (high level)
• Have time for thorough analysis (~30-60 mins)

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Process

Phase 1: PROBLEM DEFINITION 📝

Goal: Clearly define what we're analyzing.

Steps:

1. State the Problem Precisely

   Template:
   "When [condition], the system [actual behavior] 
    instead of [expected behavior]."
   
   Example:
   "When a user submits a login form with special characters,
    the system returns a 500 error instead of validating input."
   

2. Gather Impact Data

   • How often does it occur?
   • Who/what is affected?
   • What's the business impact?
   • How long has it been happening?

3. Document Timeline

   • When did it first appear?
   • Any recent changes before first occurrence?
   • Has it gotten better/worse?

Output: Clear problem statement with context.

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Phase 2: THE 5 WHYS ANALYSIS 🔍

Goal: Drill down to fundamental causes.

Method:

Start: Problem Statement
  │
  ├─ Why? → First-level cause
  │   │
  │   ├─ Why? → Second-level cause
  │   │   │
  │   │   ├─ Why? → Third-level cause
  │   │   │   │
  │   │   │   ├─ Why? → Fourth-level cause
  │   │   │   │   │
  │   │   │   │   └─ Why? → ROOT CAUSE

Rules:

1. Each answer must be factual, not speculative
2. If multiple answers possible at a level, branch and explore all
3. Stop when you reach something actionable
4. "Human error" is NEVER a root cause — dig deeper

Example:

Problem: Login fails with special characters

Why #1: Server returns 500 error
  → Because: Unhandled exception in auth.service.ts

Why #2: Why is there an unhandled exception?
  → Because: SQL query fails with syntax error

Why #3: Why does SQL have syntax error?
  → Because: User input is concatenated directly into query

Why #4: Why is input concatenated directly?
  → Because: Developer didn't use parameterized queries

Why #5: Why didn't developer use parameterized queries?
  → Because: No code review caught it, and no security guidelines exist

ROOT CAUSE: Missing security coding standards and review process

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Phase 3: FISHBONE DIAGRAM (ISHIKAWA) 📊

Goal: Explore contributing factors systematically.

Categories to Examine:

                              ┌──────────┐
          ┌──────────────────►│          │
          │    Environment    │          │
          │                   │          │
┌─────────┴───┐               │  PROBLEM │
│   Methods   ├──────────────►│          │
└─────────────┘               │          │
                              │          │
┌─────────────┐               │          │
│  Machines   ├──────────────►│          │
│  (Systems)  │               │          │
└─────────────┘               └─────┬────┘
                                    │
         ┌───────────────────────────┘
         │
    ┌────┴────┐    ┌──────────┐    ┌──────────┐
    │ People  │    │Materials │    │Measurement│
    │(Process)│    │  (Data)  │    │ (Metrics)│
    └─────────┘    └──────────┘    └──────────┘

For Each Category, Ask:

Category	Questions to Ask
Methods	Is the process correct? Is it followed? Is it documented?
Machines	Is the system configured correctly? Dependencies up to date?
Environment	Dev vs Prod differences? External factors?
People/Process	Training adequate? Communication clear? Handoffs smooth?
Materials/Data	Data quality? Input validation? Edge cases?
Measurement	Are we monitoring correctly? Are we measuring the right things?

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Phase 4: CONTRIBUTING FACTOR ANALYSIS 🧩

Goal: Weight and prioritize contributing factors.

Steps:

1. List All Contributing Factors Combine findings from 5 Whys and Fishbone

2. Score Each Factor

   scoring:
     frequency: 1-5 (how often does this contribute?)
     detectability: 1-5 (how hard to detect? 5=very hidden)
     severity: 1-5 (how much impact when it contributes?)
     
     risk_score: frequency × detectability × severity
   

3. Create Priority Matrix

   High Frequency + High Severity → Address immediately
   High Frequency + Low Severity → Address soon
   Low Frequency + High Severity → Create safeguards
   Low Frequency + Low Severity → Monitor only
   

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Phase 5: ROOT CAUSE VALIDATION ✅

Goal: Confirm the root cause is correct.

Validation Questions:

1. Causation Test

   • If we fix this, will the problem definitely not recur?
   • Can we prove cause → effect relationship?

2. Completeness Test

   • Are there other causes we might have missed?
   • Would fixing this alone be sufficient?

3. Actionability Test

   • Can we actually address this cause?
   • Is it within our control?

4. Proportionality Test

   • Is the root cause proportional to the problem?
   • (Big problems usually have big root causes)

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Phase 6: PREVENTION RECOMMENDATIONS 🛡️

Goal: Prevent recurrence.

Recommendation Types:

1. Immediate Fix

   • Direct fix for the symptom
   • Buys time for proper solution

2. Root Cause Fix

   • Addresses the fundamental cause
   • Prevents this exact issue

3. Systemic Improvement

   • Prevents entire class of similar issues
   • Usually involves process/tooling changes

4. Detection Improvement

   • Catch similar issues earlier next time
   • Monitoring, testing, review improvements

Example Recommendations:

for_the_sql_injection_example:
  immediate:
    - Fix the specific query to use parameters
    - Add input sanitization
  
  root_cause:
    - Establish secure coding guidelines
    - Require security review for auth code
  
  systemic:
    - Enable SQL injection detection in SAST tooling
    - Add security-focused code review checklist
    - Security training for developers
  
  detection:
    - Add SQL injection tests to CI pipeline
    - Monitor for unusual database queries

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Output Template

# Root Cause Analysis Report

## Problem Statement
[Clear statement of the problem]

## Timeline
- First observed: [date]
- Recent changes: [list]
- Frequency: [how often]

## 5 Whys Analysis
1. Why? → [answer]
2. Why? → [answer]
3. Why? → [answer]
4. Why? → [answer]
5. Why? → [answer]

## Contributing Factors
| Factor | Category | Risk Score | Priority |
|--------|----------|------------|----------|
| [factor] | [cat] | [score] | [priority] |

## Root Cause
[Clear statement of root cause]

## Validation
- [ ] Causation confirmed
- [ ] Complete (no other causes)
- [ ] Actionable
- [ ] Proportional

## Recommendations
### Immediate
- [action]

### Root Cause Fix
- [action]

### Systemic
- [action]

### Detection
- [action]

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Guidelines

DO ✅

• Follow the evidence, not assumptions
• Keep asking "why" until you can't anymore
• Document everything for future reference
• Involve domain experts when needed
• Look for patterns across similar issues

DON'T ❌

• Blame individuals (focus on systems)
• Stop at the first plausible answer
• Skip validation steps
• Propose fixes before understanding cause
• Ignore contributing factors

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Success Criteria

Before claiming analysis complete:

• Problem clearly defined with impact
• 5 Whys completed to true root cause
• Contributing factors identified and scored
• Root cause validated against all tests
• Prevention recommendations at all levels
• Report documented for future reference

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Related Skills

• skills/kilo-kit/debugging/systematic/ - For initial bug identification
• skills/kilo-kit/debugging/verification/ - For validating fixes
• skills/kilo-kit/quality/code-review/ - For review improvements

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Root Cause Analysis Skill v1.0.0 — Dig until you hit bedrock