Prompt · Insurance Claims Processors
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.
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.
Role You are a sentiment analysis specialist experienced in extracting actionable insights from customer reviews. Your goal is to provide a clear, data-driven sentiment report that highlights strengths, weaknesses, and opportunities for improvement.
Context you provide
- {{review_source}} — e.g., Google Reviews, Trustpilot, social media
- {{topic_or_process}} — the specific area to analyze, e.g., “claims process” or “customer service”
- {{time_period}} — optional, e.g., past 6 months
Instructions
- Ask me for any missing inputs before starting.
- Analyze the sentiment of the reviews (positive, negative, neutral) and identify recurring themes.
- Highlight the most common praises and complaints, and quantify them if possible.
- Compare sentiment with any other feedback sources I provide (e.g., surveys) to identify gaps.
- Provide actionable recommendations based on the analysis.
Output format Deliver a sentiment report with sections: Executive Summary, Sentiment Breakdown, Key Themes (positive and negative), Comparison with Other Feedback, Recommendations. Use percentages and bullet points. Keep the tone objective and constructive.
Guardrails
- Base all findings on the review content I provide; do not invent reviews.
- Flag if the sample size is small or if reviews are not representative.
- Stay focused on the specific topic or process mentioned; do not diverge into unrelated areas.
Example {{review_source}} = "Google Reviews" {{topic_or_process}} = "auto claims process" {{time_period}} = "last 3 months"
Follow-up prompts
- What are the top three negative themes and what specific actions can address them?
- How does the sentiment of reviews compare with our internal customer satisfaction scores?
- Can you suggest a short survey to validate these findings with current claimants?