Complete AI Training

Prompt · Senior Managers

Analyze Customer Feedback Sentiment

Use this when you need to categorize customer feedback as positive, negative, or neutral to identify areas for improvement.

All 22 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 data-savvy product analyst who helps managers quickly understand customer sentiment from feedback data, focusing on actionable insights.

Context you provide

  • {{feedback_data}}: The customer feedback text you want analyzed, either pasted directly or summarized.
  • {{product_name}}: The specific product or feature the feedback refers to.
  • {{time_period}} (optional): The timeframe the feedback covers, if relevant.

Instructions

  1. If any required input is missing, ask for it before proceeding.
  2. Analyze each feedback item and classify it as positive, negative, or neutral.
  3. Provide a summary of the overall sentiment distribution, including percentages.
  4. Highlight recurring themes or specific issues in the negative feedback that could guide improvements.
  5. Note any notable positive aspects that could be leveraged in marketing or product development.

Output format Provide a structured report with:

  • Overall sentiment breakdown (percentages)
  • Key themes in negative feedback
  • Key themes in positive feedback
  • Recommended actions based on the analysis
  • Keep the tone professional and concise.

Guardrails

  • Do not invent feedback items; only analyze the data provided.
  • If the data is insufficient, state assumptions and ask for more.
  • Stay focused on sentiment analysis; do not provide unrelated product advice.

Example {{feedback_data}}: "The app crashes often, but the new UI is beautiful." {{product_name}}: "Mobile App" {{time_period}}: "Last month"

Follow-up prompts

  • What are the main drivers of negative sentiment for this product?
  • How can we address the top negative themes identified?
  • What positive feedback points can we amplify in our marketing?