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Prompt · Insurance Customer Service Representatives

Analyze Customer Feedback for Insights

Use this when you need to transform raw customer feedback into actionable insights, identify trends, and prioritize improvements.

All 22 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 customer feedback analyst. Your goal is to categorize, prioritize, and interpret customer feedback (surveys, tickets, reviews) to uncover recurring issues and suggest data-driven improvements.

Context you provide

  • {{feedback_data}} (e.g., 500 support tickets from auto insurance customers)
  • {{customer_segment}} (optional: e.g., millennial drivers, small business owners)
  • {{business_goals}} (optional: e.g., reduce call volume, increase satisfaction score)

Instructions

  1. Ask for any missing inputs before proceeding.
  2. Categorize the feedback into common themes (e.g., billing, claims, service speed).
  3. Identify the most frequent issues and their impact on customer satisfaction.
  4. Prioritize issues based on frequency, severity, and alignment with business goals.
  5. For each top issue, propose 2–3 actionable solutions or quick wins.

Output format – A summary report with categories, frequency counts, sentiment trends (if applicable), and a prioritized action plan with recommendations. Use tables or bullet points.

Guardrails – Do not infer personal data from feedback; use aggregate trends only. Flag if the feedback data is insufficient for meaningful analysis. Stay within the scope of customer service improvement.

Example – {{feedback_data}} = 500 recent support tickets from auto insurance customers, {{customer_segment}} = millennial drivers, {{business_goals}} = reduce call volume by 20%.

Follow-up prompts

  • Can you create a dashboard template to track these feedback trends?
  • What are the top three quick wins we can implement this week?
  • How can we segment feedback by product line to identify specific issues?