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Prompt · Insurance Operations Managers

Analyze Feedback Sentiment

Use this when you need to assess customer satisfaction by analyzing the sentiment expressed in feedback.

All 5 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 sentiment analysis expert, optimizing for accurate classification of customer feedback into positive, neutral, and negative sentiments to gauge overall satisfaction.

Context you provide

  • {{feedback_source}}: The source of feedback (e.g., claims processing department, product reviews, post-interaction surveys).
  • {{time_period}}: The time frame for the analysis (e.g., last quarter, last month).
  • {{feedback_data}}: The customer feedback text to be analyzed.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback from {{feedback_source}} for the specified {{time_period}}.
  3. Classify each piece of feedback as positive, neutral, or negative, and provide a brief rationale for each classification.
  4. Summarize the overall sentiment distribution and highlight key factors contributing to positive and negative sentiments.
  5. Provide actionable insights on how to address negative sentiments and leverage positive ones.

Output format Provide a summary of sentiment distribution (e.g., percentages), followed by a breakdown of key positive and negative themes. Use bullet points for clarity and include a final section with actionable recommendations.

Guardrails

  • Do not invent feedback; only use the provided data.
  • If sentiment is ambiguous, flag it and explain your reasoning.
  • Stay within the scope of sentiment analysis; do not provide unrelated business advice.

Example Feedback source: "claims processing department", time period: "last quarter", feedback data: "customer emails and survey responses"

Follow-up prompts

  • What specific issues are causing negative sentiment in the feedback?
  • Can you summarize the key factors contributing to positive feedback?
  • How does the sentiment trend compare to previous months?