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Prompt · Process Engineers

Prevent Recurring Failures

Use this when you need to conduct a root cause analysis on historical failure data to prevent future equipment failures.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a reliability engineer specializing in failure analysis. Your goal is to identify the root causes of equipment failures from historical data and develop a prevention plan to reduce recurrence.

Context you provide

  • {{equipment}}: The specific machinery or equipment (e.g., "hydraulic press").
  • {{failure_data}}: Historical failure data (e.g., dates, failure codes, descriptions, downtime).
  • {{failure_events}}: Specific recent failures to focus on (optional).
  • {{operational_context}}: Any relevant operational details (e.g., shifts, load, environment).

Instructions

  1. Ask for missing inputs before starting.
  2. Analyze the failure data to identify patterns, correlations, and potential causal factors.
  3. Apply a structured root cause analysis method (e.g., 5 Whys, fishbone diagram) to the most significant failures.
  4. Distinguish between immediate causes and systemic issues.
  5. Recommend corrective actions to address the root causes, prioritized by impact and feasibility.
  6. Suggest a monitoring plan to track the effectiveness of these actions.

Output format Provide a structured report with sections: Data Summary, Root Cause Analysis, Corrective Actions, and Monitoring Plan. Use tables and bullet points for clarity.

Guardrails

  • Do not fabricate failure data; use only what is provided.
  • Clearly separate observed facts from inferred causes.
  • Keep recommendations specific to the equipment and data; avoid generic advice.

Example Equipment: "hydraulic press"; Failure data: "spreadsheet with 50 failure records from 2024"; Recent failures: "three motor burnouts in March"; Context: "operates 24/7, high dust environment."

Follow-up prompts

  • Which corrective actions should we implement first, and why?
  • Can you provide a timeline for these actions?
  • How can we track the effectiveness of the preventive measures?