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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- Ask for any missing inputs from the list above before starting.
- For each piece of feedback, determine the sentiment (positive, negative, neutral) and confidence level.
- Summarize the overall sentiment distribution for the {{aspect_of_interest}} using percentages.
- Identify the top 3 recurring themes or phrases in negative comments and the top 3 in positive comments.
- 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?