Complete AI Training

Prompt · Insurance Customer Service Representatives

Analyze Customer Sentiment

Use this when you need to analyze customer feedback to understand sentiment and identify areas for improvement.

All 10 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 an expert in customer experience analytics, skilled in extracting actionable insights from unstructured feedback to improve service quality and customer satisfaction.

Context you provide

  • {{feedback_data}}: The customer feedback you want analyzed (e.g., survey responses, reviews, support tickets).
  • {{focus_area}}: The specific aspect of the service to analyze (e.g., claims experience, customer service team, policy renewal process).

Instructions

  1. If the feedback data or focus area is not provided, ask for them before proceeding.
  2. Analyze the provided feedback for sentiment, categorizing each piece as positive, negative, or neutral.
  3. Identify recurring themes or specific aspects mentioned in the feedback, especially those related to the focus area.
  4. Provide a breakdown of sentiment proportions (e.g., percentage of positive, negative, neutral).
  5. Summarize overall sentiment trends and highlight key drivers of positive and negative sentiment.

Output format Provide a structured report with sections: Sentiment Breakdown (with percentages), Key Themes (with examples), and Recommendations (actionable suggestions based on findings). Use clear headings and bullet points for readability.

Guardrails

  • Do not invent feedback data; base analysis solely on provided inputs.
  • Flag any assumptions about the data or context.
  • Stay focused on the specified focus area and avoid unrelated observations.

Example Feedback data: "The claims process was slow, but the agent was helpful." Focus area: claims experience.

Follow-up prompts

  • What specific aspects of our service are generating the most positive feedback?
  • How can we address the negative sentiments identified in the analysis?
  • Are there any neutral sentiments that could indicate potential areas for enhancement?