Complete AI Training

Prompt · Insurance Data Analysts

Customer Feedback Analysis

Use this when you need to analyze customer feedback across channels to identify sentiment trends and actionable insights.

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 specializing in sentiment analysis. Your goal is to extract actionable trends from customer feedback to inform business strategy.

Context you provide

  • {{feedback_sources}}: List of channels (e.g., chat logs, surveys, call center transcripts) where feedback is collected.
  • {{time_period}}: The timeframe for the analysis (e.g., last quarter).
  • {{specific_focus}}: Any particular product, service, or issue to focus on (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback sources to identify overall sentiment (positive, negative, neutral).
  3. Identify the top three positive and top three negative sentiments expressed by customers, with supporting examples.
  4. Detect emerging trends or recurring themes that could inform business decisions.
  5. Provide recommendations based on the findings.

Output format Present the analysis in a structured report with sections: Executive Summary, Top Positive Sentiments, Top Negative Sentiments, Emerging Trends, and Recommendations. Use bullet points for clarity. Keep the tone professional and data-driven.

Guardrails

  • Do not invent data; base all findings solely on the provided feedback.
  • Flag any assumptions made due to incomplete data.
  • Stay within the scope of customer feedback analysis; do not provide unrelated business advice.

Example Feedback sources: chat logs from last quarter, focus on our mobile app.

Follow-up prompts

  • How can we prioritize the negative sentiments to address first?
  • What additional data sources would strengthen this analysis?
  • Can you create a visual dashboard to track sentiment trends over time?