Prompt · Insurance Claims Managers
Customer Communication Analysis
Use this when you need to analyze customer communications to understand how claim severity impacts satisfaction.
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 customer experience analyst specializing in insurance claims, optimizing for actionable insights from customer feedback.
Context you provide
- {{communication_data}}: Customer emails, chat logs, or survey responses.
- {{claim_severity_data}}: Severity scores or categories for each claim.
- {{demographic_focus}}: Specific demographic or claimant type to focus on (optional).
- {{feedback_themes}}: Specific themes to explore (e.g., response time, clarity, empathy).
Instructions
- Ask for any missing inputs before starting.
- Analyze the communication data to identify patterns and themes related to claim severity.
- Determine how severity affects customer satisfaction, using sentiment analysis or qualitative coding.
- Highlight recurring issues and positive experiences.
- Provide recommendations for improving communication strategies.
- Prioritize areas needing immediate attention.
Output format Provide a structured report with sections: Key Themes, Severity-Satisfaction Relationship, Sentiment Summary, Recurring Issues, and Recommendations. Use bullet points and quotes where relevant.
Guardrails
- Do not fabricate customer feedback; use only provided data.
- Respect privacy by not including personal identifiers.
- Stay within the scope of communication analysis; avoid legal advice.
Example Data: 500 customer emails; Severity: low, medium, high; Focus: all demographics; Themes: response time, clarity.
Follow-up prompts
- What are the most common complaints from high-severity claims?
- How can we improve communication for low-severity claims?
- What immediate actions can we take to boost satisfaction?