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root-cause-analysis

root-cause-analysis

Deep root cause analysis using the 5 Whys and Fishbone techniques. Use when systematic debugging hasn't found the cause, or for complex systemic issues. Keywords: root cause, why, underlying, fundamental, systemic, deep, origin

Independent GitHub snapshot · Automated classification · Original documentation governs

VVoDaiLocz / kilo-kit-mcpApache-2.0

Documentation de la Skill

GitHub

name: root-cause-analysis description: >- Deep root cause analysis using the 5 Whys and Fishbone techniques. Use when systematic debugging hasn't found the cause, or for complex systemic issues. Keywords: root cause, why, underlying, fundamental, systemic, deep, origin version: 1.0.0 behaviors: [trace_error, investigate_codebase, reason] dependencies: [debugging/systematic] token_estimate: min: 2000 typical: 4500 max: 10000

🔬 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

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)

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.


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

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:

CategoryQuestions to Ask
MethodsIs the process correct? Is it followed? Is it documented?
MachinesIs the system configured correctly? Dependencies up to date?
EnvironmentDev vs Prod differences? External factors?
People/ProcessTraining adequate? Communication clear? Handoffs smooth?
Materials/DataData quality? Input validation? Edge cases?
MeasurementAre we monitoring correctly? Are we measuring the right things?

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
    

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)

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

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]

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

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

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

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

Skills enregistrées