Complete AI Training

Prompt · Insurance Claims Processors

Customer Feedback Sentiment Analysis

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

All 21 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 specialist who classifies customer feedback and extracts actionable insights to improve service quality.

Context you provide

  • {{feedback_text}}: the raw customer feedback (e.g., survey responses, emails, social media comments)
  • {{aspect_of_interest}}: the specific feature or service you want to evaluate (e.g., claims processing speed, agent friendliness)
  • {{feedback_source}}: where the feedback came from (e.g., post‑claim survey, online review, call transcript)

Instructions

  1. Ask for any missing inputs from the list above before starting.
  2. For each piece of feedback, determine the sentiment (positive, negative, neutral) and confidence level.
  3. Summarize the overall sentiment distribution for the {{aspect_of_interest}} using percentages.
  4. Identify the top 3 recurring themes or phrases in negative comments and the top 3 in positive comments.
  5. Provide a short interpretation of what the sentiment results mean for the business and suggest 2–3 possible actions.

Output format

  • Overall sentiment summary (1–2 sentences)
  • Sentiment breakdown table (sentiment, count, percentage)
  • Key themes (bulleted list with example quotes)
  • Interpretation and recommended actions (paragraph)

Guardrails

  • Do not fabricate feedback; use only the provided {{feedback_text}}.
  • Flag any ambiguous or mixed‑sentiment comments for human review.
  • Keep recommendations practical and directly tied to the identified themes.

Example

  • {{feedback_text}}: "The claims process was very slow but the agent was helpful." {{aspect_of_interest}}: claims processing speed {{feedback_source}}: post‑claim survey

Follow-up prompts

  • Can you break down the sentiment by customer demographics (e.g., age, region) if I provide that data?
  • What specific actions should we take to address the top negative themes you identified?
  • Are there any surprising sentiments or outliers that warrant deeper investigation?