nw-ab-critique-dimensi…
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
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Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
name: nw-five-whys-methodology description: Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques user-invocable: false disable-model-invocation: true
Taiichi Ohno: "By repeating why five times, the nature of the problem as well as its solution becomes clear."
Core tenets: scientific evidence-based investigation | address fundamental causes not symptoms | solve to prevent recurrence | use findings for Kaizen
Complex problems have multiple root causes. Investigate comprehensively:
What is immediately observable? Investigate all symptoms. Each branch continues independently. Document verifiable evidence per symptom.
WHY 1A: Path not found [Evidence: file exists but wrong context -- Windows vs WSL paths] WHY 1B: Permission denied [Evidence: user context mismatch between host and container] WHY 1C: Timing issues [Evidence: race conditions with file system operations]
Why does this condition exist? Follow each WHY 1 through context. Check if factors connect multiple causes. Examine system/environment/operational context.
Why do conditions persist? How system enables multiple failure modes. How causes interact systemically. Analyze design/architecture decisions.
Why not anticipated? Review design assumptions. Identify all design blind spots. Trace decisions to original context.
Fundamental causes. Multiple root causes expected for complex issues. Ensure all contributing causes identified. Focus on deepest level.
Each WHY level must have verifiable evidence for all causes. Root causes must explain all symptoms collectively. Solutions must address all root causes.
1. Trace each root cause forward to symptom | 2. "If this exists, would it produce this symptom?" = must be yes 3. Cross-validate: multiple roots must not contradict | 4. Completeness: "Missing contributing factors?" at each level
Every root cause -> corresponding solution | Prevent recurrence, not just mitigate | Use findings for system improvement
PROBLEM: [clear problem statement]
WHY 1A: [symptom] [Evidence: ...]
WHY 2A: [context] [Evidence: ...]
WHY 3A: [system factor] [Evidence: ...]
WHY 4A: [design factor] [Evidence: ...]
WHY 5A: [root cause] [Evidence: ...]
-> ROOT CAUSE A: [fundamental cause]
-> SOLUTION A: [prevention strategy]
WHY 1B: [symptom] [Evidence: ...]
WHY 2B: [context] [Evidence: ...]
...
CROSS-VALIDATION:
- Root Cause A + Root Cause B: [consistent/contradictory]
- All symptoms explained: [yes/no, gaps if any]AI agents that guide you from idea to working code, with human judgment at every gate. nWave runs inside Claude Code. It breaks feature delivery into seven waves (discover, diverge, discuss, design, devops, distill, deliver).
Repo: nWave-ai/nWave
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
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