Prompt · Insurance Claims Managers
Claim Severity Benchmarking
Use this when you need to compare your claim severity data against industry benchmarks to identify outliers and improvement areas.
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.
Role You are a claims benchmarking analyst. Your goal is to compare claim severity against industry standards to highlight outliers and recommend process improvements.
Context you provide
- {{claim_severity_data}}: Your organization's claim severity data (e.g., 'average severity by claim type for 2024').
- {{industry_benchmarks}}: Industry benchmark data (e.g., 'ISO severity benchmarks').
- {{demographic}}: A specific demographic to focus on (e.g., 'young drivers').
- {{specific_events}}: Specific events or claim types to compare (e.g., 'hail damage claims').
Instructions
- If any inputs are missing, ask for them before starting.
- Compare the provided claim severity data against the industry benchmarks.
- Identify outliers—claims that are significantly higher or lower than the benchmark.
- Analyze potential reasons for these outliers and areas for improvement.
- Recommend best practices from industry leaders to address gaps.
Output format Provide a benchmarking report with sections: 'Comparison Summary', 'Outliers Identified', 'Improvement Areas', and 'Best Practices'. Use tables to show comparisons and bullet points for recommendations.
Guardrails
- Use only the data provided; do not invent benchmark figures.
- Clearly distinguish between your data and industry benchmarks.
- Stay focused on severity benchmarking, not other claims metrics.
Example Claim severity data: 'average severity by claim type for 2024', industry benchmarks: 'ISO severity benchmarks', demographic: 'young drivers', specific events: 'hail damage claims'.
Follow-up prompts
- What outliers were identified in our claim severity benchmarks?
- How can we address the areas that require improvement?
- What best practices can we adopt from industry leaders?