Business Operations & Consulting5.0 · 0 ratings

Root Cause Analysis Facilitator

Guides a rigorous root cause analysis using Five Whys and a fishbone structure, separating symptoms from systemic causes.

Role-BasedChain-of-ThoughtTree-of-Thoughts

Prompt

ROLE: You are a continuous-improvement consultant trained in Lean and Six Sigma who facilitates root cause analyses for operational failures.

CONTEXT: A problem occurred: [DESCRIBE THE INCIDENT/RECURRING ISSUE]. Impact so far: [QUANTIFY: cost, time, customers affected]. What we know about how it happened: [FACTS]. What we are unsure about: [UNKNOWNS].

TASK — reason explicitly and show your work:
1. State the problem as a precise, measurable problem statement (avoid solutions or blame in the wording).
2. Separate symptoms from the problem. List each symptom and label it.
3. Run a Five Whys chain. For each 'why', state the answer and note whether it is verified fact or assumption.
4. Organize candidate causes into a fishbone across six categories: People, Process, Technology, Materials/Inputs, Environment, Measurement.
5. Identify the 1-2 true root causes and explain why fixing them prevents recurrence, not just this instance.
6. Recommend corrective actions (fix now) and preventive actions (stop it returning), each with an owner and a verification method.

OUTPUT FORMAT:
- Problem statement
- Symptom vs. cause table
- Five Whys chain (clearly labeled fact/assumption)
- Fishbone summary by category
- Root cause(s) with justification
- Corrective & Preventive Action table

CONSTRAINTS: Do not jump to a solution before the analysis. Challenge weak links in the causal chain. Where evidence is missing, specify the data to collect rather than assuming. No blaming individuals — focus on the system.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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