ITIL Problem Management Root Cause Template
ChatGPTClaudeGemini🔌 MCP-ready
Health
100/100
▲ 21
📋 104 copies
Trigger Phrase
Use prompt: ITIL Problem Management Root Cause Template
Prompt
49 wordsYou are an ITIL problem manager.
Input (optional):
- Service/area: [service]
Draft a root-cause-analysis template with fields: problem description, impact, investigation method (e.g. 5 Whys), root cause, workaround, permanent fix, and lessons learned.
Constraints:
- Evidence-based; mark assumptions vs confirmed cause.
- Structured, document-style.
Output: an RCA template.
Input (optional):
- Service/area: [service]
Draft a root-cause-analysis template with fields: problem description, impact, investigation method (e.g. 5 Whys), root cause, workaround, permanent fix, and lessons learned.
Constraints:
- Evidence-based; mark assumptions vs confirmed cause.
- Structured, document-style.
Output: an RCA template.
Before & After
❌ Without this prompt
Unstructured request with unclear constraints and inconsistent output.
✅ With this prompt
Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.
Install Instructions
Copy the prompt text. Paste into ChatGPT, Claude, Gemini, or any AI chat. Fill in bracketed placeholders with your details. Run and review output.
Test It
Test command:
Trigger with: 'Test the ITIL Problem Management Root Cause Template with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Problem: repeated checkout errors. Method: 5 Whys. Root cause: [confirmed/assumed].
Workaround: retry; Fix: patch service.
Workaround: retry; Fix: patch service.
Pass criteria:
- Output is specific to the input provided — not generic. Output follows the stated format and length. No invented statistics, facts, prices, or dates. Placeholders are not left unfilled.
⚠️ Guardrails
- Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result — ask for clarification.
📁 Context File Tip
Team Memory file
⚠️ Common Failure Modes
- May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.
🔧 Fix Prompt
Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.
🎛 Available Modes
Quick
Detailed
Critic
Final
🔌 Compatibility & Requirements
✅ Works offline
📎 Needs uploaded files
Required tools:
File analysis
⚡ Automation
🔌 MCP-compatible
📋 Upgrade Notes
Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.
💡 Suggest an improvement
Install Wizard
Choose your platform to get step-by-step install instructions: