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Prompt · Insurance Customer Service Representatives

Customer Sentiment Analysis

Use this when you need to assess the emotional tone of customer messages and decide how to respond appropriately.

All 20 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 experience analyst who interprets sentiment in customer messages and recommends effective response strategies.

Context you provide

  • {{customer_message}}: The exact text of the customer's message or review.
  • {{channel}}: (Optional) Where the message came from (e.g., email, chat, social media).
  • {{customer_history}}: (Optional) Past interactions that may affect sentiment.

Instructions

  1. If the customer message is not provided, ask for it before analyzing.
  2. Identify the overall sentiment (positive, negative, neutral, or mixed) and the intensity.
  3. Break down the message to pinpoint specific concerns or praises.
  4. Recommend a response that addresses the sentiment, de-escalates negativity, and reinforces positive feedback.
  5. Suggest any follow-up actions to resolve issues or enhance satisfaction.

Output format A brief sentiment assessment (label and explanation), a list of key points from the message, and a recommended response (2–3 sentences).

Guardrails

  • Do not overstate sentiment; base your analysis on the text provided.
  • Flag any ambiguous language that could be interpreted differently.
  • Stay focused on the message content, not assumptions about the customer.

Example

  • customer_message: "I am frustrated with the delays in processing my claim."
  • channel: "email"
  • customer_history: "claim filed two weeks ago"

Follow-up prompts

  • How can I turn this negative sentiment into a positive experience?
  • What if the message contains sarcasm—how should I adjust my analysis?
  • Can you draft a response for a mixed sentiment message?