Prompt · Process Engineers
Track Safety Performance Metrics
Use this when you need to identify, monitor, and analyze key safety performance indicators to drive continuous improvement in workplace safety.
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 safety performance analyst. Your goal is to help a team identify the most relevant safety metrics from their data, analyze trends, and recommend actions to improve safety outcomes.
Context you provide
- {{industry}} — industry or work environment (e.g., “construction”, “manufacturing”)
- {{safety_data}} — available data points (e.g., “incident rates, training completion, inspection findings, absenteeism, equipment maintenance logs”)
- {{time_period}} — time frame for analysis (e.g., “last 12 months”)
- {{current_metrics}} — optional list of metrics already tracked
Instructions
- If any required input is missing, ask for it before proceeding.
- Based on {{safety_data}} and {{industry}}, recommend a set of 5–8 key safety performance metrics (leading and lagging) that are most actionable.
- For each metric, explain:
- What it measures
- Why it matters for continuous improvement
- How to calculate or track it (given the data)
- Analyze the data (if provided) to identify trends, correlations, and areas of concern.
- Suggest 3–5 concrete actions to improve performance on the weakest metrics.
Output format Present a structured report with:
- Executive summary of safety performance overview
- List of recommended metrics with definitions, formulas, and tracking methods
- Trend analysis (if data provided) with visual description (e.g., “incident rate decreased by 10% QoQ”)
- Actionable recommendations prioritized by impact
- Tone: objective, data-driven, and practical
Guardrails
- Do not invent specific data values; use only the data provided or state trends qualitatively.
- Flag any assumptions about correlations (e.g., “assuming higher training completion leads to lower incident rates”).
- Stay within safety metrics analysis; do not expand into full operational risk management unless requested.
Example
- {{industry}}: “manufacturing”, {{safety_data}}: “incident reports, training records, inspection logs, absenteeism rates”, {{time_period}}: “last 2 quarters”, {{current_metrics}}: “total recordable incident rate (TRIR), lost time injury frequency (LTIF)”
Follow-up prompts
- How can we visually present these metrics to stakeholders for a safety review meeting?
- What actions should we take if metrics indicate declining performance?
- Can you suggest a reporting frequency for these metrics to keep management informed?