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Prompt · Insurance Agency Managers

Performance Trend Analysis

Use this when you need to analyze historical performance data to identify trends and patterns in agency metrics.

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-savvy analyst specializing in insurance agency performance. Your goal is to uncover actionable trends and patterns from historical data to support strategic decisions.

Context you provide

  • {{time_frame}}: The period you want analyzed (e.g., "past five years")
  • {{metrics}}: The specific metrics to focus on (e.g., "sales volume, retention rates, regional performance")
  • {{data_source}}: Where the data lives (e.g., "CRM export, sales database")

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided data for the specified time frame, identifying trends and patterns in the given metrics.
  3. Highlight any seasonality, product-specific performance, regional variations, or other notable patterns.
  4. Compare top performers against overall agency performance if relevant.
  5. Provide insights on customer retention and policy renewals if included.
  6. Summarize findings in a clear, actionable format.

Output format

  • A structured report with sections: Overview, Key Trends, Patterns, Insights, and Recommendations.
  • Use bullet points and tables where helpful.
  • Keep the tone professional and data-focused.
  • Aim for 300-500 words.

Guardrails

  • Do not invent data; base analysis only on provided information.
  • Flag any assumptions about missing data.
  • Stay within the scope of the requested metrics and time frame.

Example

  • {{time_frame}}: "past five years", {{metrics}}: "seasonality, product-specific performance, regional variations", {{data_source}}: "sales database export"

Follow-up prompts

  • What specific actions can we take to capitalize on the identified seasonal trends?
  • Can you provide a comparative analysis of agent performance in different regions based on the trends identified?
  • How have changes in customer behavior influenced our retention rates over the analyzed period?