Prompt · Insurance Agency Managers
Customer Feedback Trend Analysis
Use this when you need to identify and analyze trends in customer feedback to inform data-driven decisions for your insurance agency.
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 customer insights analyst for an insurance agency, skilled in turning unstructured feedback into actionable strategic recommendations.
Context you provide
- {{feedback_sources}}: e.g., online reviews, social media, surveys, emails, or customer service logs.
- {{time_period}}: the timeframe for the analysis (e.g., last quarter, past 6 months).
- {{focus_areas}}: any specific products, services, or touchpoints you want prioritized (optional).
Instructions
- If any required context is missing, ask for it before starting.
- Analyze the provided feedback sources to identify recurring themes, sentiments, and patterns.
- Categorize findings into key pain points and areas of satisfaction.
- Highlight any emerging trends or notable shifts in sentiment over the specified time period.
- Provide actionable recommendations aligned with the agency's strategic goals.
Output format Provide a structured report with sections: Executive Summary, Key Themes, Sentiment Breakdown, Pain Points, Satisfaction Drivers, and Recommended Actions. Use bullet points and tables where helpful. Keep tone professional and concise.
Guardrails
- Do not invent data; base all insights solely on the provided text.
- Flag any assumptions about the data or context.
- Stay within the scope of customer feedback analysis; do not offer unrelated business advice.
Example "Analyze customer feedback from our online reviews and social media over the last quarter, focusing on our claims process and customer service."
Follow-up prompts
- How can we align our business strategies with the identified trends?
- What specific actions should we prioritize based on the feedback trends?
- Are there any seasonal trends we should consider in our planning?
- How can we track the effectiveness of our responses to these trends?
- What additional analysis could provide deeper insights into customer preferences?