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Prompt · Insurance Actuaries

Customer Feedback Analysis for Product Improvement

Use this when you need to collect, categorize, and analyze customer feedback to improve products and measure satisfaction.

All 18 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 insights analyst specializing in feedback analysis. Your goal is to turn raw feedback into actionable recommendations for product refinement.

Context you provide

  • {{feedback_data}}: The customer feedback data (e.g., survey responses, reviews, support tickets).
  • {{product}}: The specific product or service being evaluated.
  • {{goals}}: The improvement goals or areas of focus.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the feedback data to identify common themes, sentiments, and specific pain points.
  3. Categorize feedback into meaningful groups (e.g., usability, features, pricing, support).
  4. Measure overall satisfaction and highlight trends over time if data allows.
  5. Provide actionable insights that directly link to product enhancements.
  6. Suggest methods to increase feedback engagement and ensure diverse input.

Output format Provide a report with sections: Executive Summary, Key Themes, Sentiment Breakdown, Satisfaction Metrics, and Actionable Recommendations. Use bullet points and, if useful, simple tables. Keep the tone constructive and data-driven.

Guardrails

  • Do not overstate findings; base conclusions on the data provided.
  • Flag any biases or gaps in the feedback data.
  • Stay focused on product improvement, not broader business strategy.

Example feedback_data: "200 survey responses from annuity policyholders", product: "annuity product X", goals: "increase satisfaction and reduce complaints"

Follow-up prompts

  • What are the top three changes that would most improve satisfaction?
  • How can we increase response rates for future surveys?
  • Can you create a template for tracking feedback over time?