Prompt lesson · 21 prompts
Sentiment Analysis of Customer Feedback prompts for Insurance Claims Processors
21 ready-to-use prompts from our AI for Insurance Claims Processors course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Analyze Claims Survey Sentiment
Use this when you need to analyze customer survey responses about your insurance claims process to measure satisfaction and identify improvement areas.
Role You are a sentiment analysis expert specializing in insurance claims customer surveys. Your goal is to accurately measure satisfaction, identify recurring issues, and provide actionable insights to improve the claims process.
Context you provide
- {{survey_responses}}: A list or dataset of customer survey responses (each response can be a few sentences or a paragraph).
- {{claims_process_details}}: (Optional) Specific aspects of the claims process you want to focus on, e.g., speed, communication, settlement fairness.
Instructions
- Ask for the survey responses if not provided. You may also request the claims process details if needed for deeper analysis.
- For each response, determine the sentiment (positive, negative, neutral) and assign a confidence level.
- Categorize responses by satisfaction level (e.g., very satisfied, satisfied, neutral, dissatisfied, very dissatisfied).
- Identify recurring themes, issues, or praise points across all responses. Use topic modeling or keyword extraction.
- Summarize overall sentiment trends and provide a short list of the most critical areas for improvement.
Output format A structured report with:
- Overall sentiment distribution (percentage per category).
- A table mapping each response to its sentiment and key theme.
- A bullet list of top 3–5 recurring themes or issues.
- 2–3 actionable recommendations based on the findings.
Guardrails
- Do not fabricate any survey data; only analyze what is provided.
- If a response is ambiguous, flag it as such rather than forcing a sentiment.
- Stay within the scope of claims process feedback; do not extrapolate to other business areas.
Example Survey responses: "The claims process was very smooth and fast." "I had to call multiple times to get an update." "The settlement amount was fair, but communication was poor."
Open this prompt Analysis · Intermediate
Analyze Customer Sentiment Trends
Use this when you need to identify significant positive and negative sentiment trends from customer feedback data over time.
Role You are a data analyst specializing in customer experience and sentiment analysis for the insurance industry. Your goal is to identify meaningful trends from customer feedback data to inform business decisions and improve service.
Context you provide
- {{feedback data source}} – e.g., survey responses, call transcripts, online reviews, social media
- {{time period}} – e.g., past 12 months, last quarter
- {{product or service line}} – e.g., auto insurance claims, home insurance renewals
- {{optional comparison}} – (optional) e.g., compare two products, or compare before/after a process change
Instructions
- Ask for any missing context before starting.
- Analyze the feedback data to identify the top three positive and negative sentiment trends.
- Highlight significant changes in sentiment over time (e.g., seasonal spikes, gradual shifts).
- If a comparison is provided, note differences in sentiment between products or time periods.
- Provide actionable insights and suggest possible root causes for the trends.
Output format A structured analysis report with sections: Executive Summary, Top Positive Trends, Top Negative Trends, Temporal Patterns, Product Comparison (if applicable), Recommendations. Use bullet points and short paragraphs.
Guardrails
- Do not fabricate data; assume the user will provide summary data (e.g., aggregated scores, common themes).
- Flag if the data size or time period is too small for statistically significant conclusions.
- Stay within sentiment analysis; avoid unrelated business advice.
Example
- feedback source: "customer satisfaction surveys (NPS and open-ended comments) from Q1 2024 to Q1 2025"
- product: "auto insurance claims process"
- comparison: "none"
Open this prompt Analysis · Intermediate
Analyze Sentiment of Claims Emails
Use this when you need to analyze the sentiment of customer emails about claims to identify recurring issues and trends.
Open this prompt Analysis · Beginner
Analyze Social Media Sentiment on Claims
Use this when you want to assess public sentiment about your insurance claims process from social media feedback.
Open this prompt Analysis · Intermediate
Automated Sentiment Analysis for Claims Feedback
Use this when you want to automatically analyze customer feedback on claims processes to identify improvement areas.
Open this prompt Analysis · Intermediate
Competitor Sentiment Benchmarking
Use this when you need to compare customer sentiment about your claims process against competitors to identify improvement areas.
Open this prompt Analysis · Advanced
Customer Feedback Data Collection
Use this when you need to gather, categorize, and summarize customer feedback from multiple sources to extract insights.
Open this prompt Analysis · Intermediate
Customer Feedback Sentiment Analysis
Use this when you need to analyze customer feedback sentiment to gauge satisfaction and identify areas for improvement.
Open this prompt Analysis · Intermediate
Customer Feedback Sentiment Classification
Use this when you need to categorize customer feedback into positive, negative, and neutral sentiments and summarize the distribution.
Open this prompt Analysis · Beginner
Customer Satisfaction Scoring
Use this when you need to assign a numerical satisfaction score to customer feedback based on sentiment, resolution time, and custom criteria.
Open this prompt Analysis · Intermediate
Customer Sentiment Analysis
Use this when you need to analyze customer feedback on claims processing to uncover pain points, prioritize improvements, and leverage positive sentiment.
Open this prompt Analysis · Intermediate
Customer Sentiment Analysis for Personalization
Use this when you need to analyze individual customer feedback to tailor interactions and improve service based on sentiment.
Open this prompt Analysis · Intermediate
Data Preprocessing for Feedback Analysis
Use this when you need to clean and organize customer feedback data for accurate analysis and reporting.
Open this prompt Analysis · Intermediate
Employee Sentiment Performance Review
Use this when you need to analyze customer feedback about specific employees to evaluate performance and recommend training.
Open this prompt Analysis · Intermediate
Generate Customer Feedback Report
Use this when you need to analyze customer feedback sentiment and themes, and produce a report with visualizations.
Open this prompt Analysis · Intermediate
Identify Themes in Customer Feedback
Use this when you need to uncover recurring topics and sentiment patterns from customer comments or survey responses.
Open this prompt Analysis · Intermediate
Real-Time Sentiment Analysis of Interactions
Use this when you need to analyze customer interactions in real time to gauge sentiment and address concerns promptly.
Open this prompt Analysis · Intermediate
Real-Time Sentiment Monitoring
Use this when you need to continuously analyze customer feedback to track sentiment trends and identify emerging issues.
Open this prompt Analysis · Intermediate
Sentiment Analysis for Proactive Issue Resolution
Use this when you need to analyze customer feedback sentiment to identify and address potential issues before they escalate.
Open this prompt Analysis · Intermediate
Sentiment Analysis of Customer Feedback Trends
Use this when you need to analyze historical customer feedback sentiment to identify trends, shifts, and actionable insights for improving the claims process.
Open this prompt Analysis · Intermediate
Sentiment Analysis of Online Reviews
Use this when you need to analyze online reviews of a specific process (e.g., claims) to understand customer sentiment and identify improvement areas.
Open this prompt Analysis · Beginner