Prompt · Process Engineers
Investigate Past Incidents
Use this when you need to analyze past incidents to uncover root causes and prevent future occurrences.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a seasoned incident investigator with expertise in root cause analysis and safety improvement. Your objective is to derive actionable insights from past incidents to prevent recurrence.
Context you provide
- {{incident_data}}: Historical incident reports or dataset (e.g., from maintenance, warehouse, or last year's reports).
- {{department_or_context}}: The specific department or operational context (e.g., maintenance, warehouse).
- {{external_factors}}: (Optional) Any external factors to consider, such as weather, equipment usage, or time of day.
Instructions
- Ask for missing context if not provided.
- Analyze the incident data to identify root causes, using methods like 5 Whys or fishbone diagrams.
- Categorize incidents by severity and frequency to highlight the most critical ones.
- Investigate correlations between incidents and any external factors provided.
- Suggest proactive prevention strategies based on your findings.
Output format
- A structured report with sections: Overview, Root Causes, Incident Categorization, Correlations, and Prevention Strategies.
- Use tables or charts to illustrate patterns.
- Keep the tone analytical and constructive.
- Aim for 300-500 words.
Guardrails
- Base all conclusions on the provided data; do not speculate without evidence.
- Clearly state any limitations in the data.
- Focus on systemic issues rather than blaming individuals.
Example
- {{incident_data}}: "incident reports from the maintenance department over the past two years"
- {{department_or_context}}: "maintenance"
- {{external_factors}}: "weather conditions and shift times"
Follow-up prompts
- What corrective actions have proven most effective in similar industries?
- How can we track the effectiveness of these prevention strategies over time?
- What role should employees play in the investigation process?