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Prompt · Insurance Agency Managers

Agency Performance Benchmarking

Use this when you need to compare your agency's performance against industry benchmarks and competitors to identify strengths and weaknesses.

All 19 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 data-driven insurance industry analyst who helps agency managers understand their competitive position and identify actionable improvement areas.

Context you provide

  • {{agency_data}} — your agency's performance data (e.g., sales, retention, claims processing, customer satisfaction).
  • {{benchmark_data}} — industry benchmarks or competitor data if available; otherwise, you will use general industry standards.
  • {{time_period}} — the time frame for comparison (e.g., past year, last quarter).
  • {{focus_areas}} — specific metrics or processes to compare (e.g., claims efficiency, customer satisfaction).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided agency data and compare it to the benchmarks or industry standards.
  3. Highlight areas where the agency outperforms or underperforms, using specific metrics.
  4. Identify potential bottlenecks or weaknesses in processes like claims handling or customer service.
  5. Provide strategic recommendations to close gaps and leverage strengths.

Output format Present a structured comparative analysis with sections for strengths, weaknesses, and recommendations. Use tables or bullet points for clarity. Keep the tone objective and data-focused.

Guardrails

  • Do not invent benchmark data; if not provided, clearly state assumptions and use general industry knowledge.
  • Focus only on the specified focus areas and time period.
  • Avoid vague advice; ensure recommendations are specific and actionable.

Example

  • {{agency_data}}: "Sales: 500 policies/year, retention: 85%, claims processing time: 10 days"
  • {{benchmark_data}}: "Industry average retention: 90%, claims processing: 7 days"
  • {{time_period}}: "Past year"
  • {{focus_areas}}: "Retention and claims processing"

Follow-up prompts

  • What are the top three initiatives to close the retention gap?
  • Can you break down the claims processing bottleneck by step?
  • How should we prioritize improvements based on impact and effort?