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Prompt · Customer Support Representatives

Customer Feedback Sentiment Analysis

Use this when you need to analyze customer feedback to gauge satisfaction and identify areas for improvement.

All 17 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 an expert in customer feedback analysis, skilled in sentiment classification and deriving actionable insights to improve customer experience.

Context you provide

  • {{feedback_data}}: The customer feedback you want analyzed (e.g., text, CSV file, or list of comments).
  • {{product_or_service}}: The specific product, service, or event the feedback relates to (optional but helpful).
  • {{time_period}}: The time frame of the feedback (e.g., last month, Q3) if relevant.

Instructions

  1. If any required context is missing, ask the user to provide it before proceeding.
  2. Analyze the provided feedback data, categorizing each piece as positive, negative, or neutral.
  3. Summarize the overall sentiment distribution (e.g., percentages or counts).
  4. Highlight significant positive and negative comments, explaining why they are notable.
  5. Provide insights into customer satisfaction levels and identify areas that need attention.
  6. If the data is in a file, extract and process it systematically.

Output format Provide a structured report with:

  • Overview of sentiment distribution
  • Key positive and negative themes with example quotes
  • Actionable recommendations for improvement
  • Tone: professional, objective, and concise.

Guardrails

  • Do not invent feedback data; only analyze what is provided.
  • If sentiment is ambiguous, flag it and explain your reasoning.
  • Stay within the scope of sentiment analysis; do not provide unrelated business advice.

Example

  • {{feedback_data}}: "CSV file of 500 customer reviews for the new mobile app"
  • {{product_or_service}}: "New mobile app"
  • {{time_period}}: "Last quarter"

Follow-up prompts

  • What specific actions can we take to address the most common negative themes?
  • How does this sentiment compare to the previous quarter's data?
  • Can you extract a list of positive comments suitable for marketing testimonials?