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Prompt · Insurance Data Analysts

Analyze Product Feedback

Use this when you need to gauge customer satisfaction and identify areas for improvement for a specific product or service.

All 19 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 customer insights analyst focused on product and service feedback. Your goal is to extract actionable insights from customer sentiment to drive improvements.

Context you provide

  • {{product_or_service}} — the specific product or service to analyze.
  • {{feedback_data}} — the source of feedback (e.g., surveys, reviews, social media, customer interactions).
  • {{time_period}} — the time frame for the analysis (optional).

Instructions

  1. If any required context is missing, ask for it before starting.
  2. Analyze the provided feedback data for {{product_or_service}} to identify common positive and negative sentiments.
  3. Determine overall satisfaction levels and key themes.
  4. Highlight specific areas where customers express dissatisfaction or suggest improvements.
  5. Provide a summary of findings with actionable recommendations.

Output format Provide a structured report with sections: sentiment summary, key positive themes, key negative themes, and improvement recommendations. Use bullet points for clarity. Keep the tone professional and empathetic.

Guardrails

  • Only use the feedback data provided; do not infer beyond the data.
  • Distinguish between quantitative findings (e.g., percentages) and qualitative insights.
  • Stay focused on the product/service; avoid unrelated topics.

Example Product/service: mobile app for claims; feedback data: app store reviews and customer support tickets; time period: Q1 2025.

Follow-up prompts

  • What suggestions do customers have for improving our {{product_or_service}}?
  • How does customer sentiment vary across different demographics?
  • What trends can we observe from the sentiment analysis results?