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Prompt · Technical Sales Representatives

Analyze Customer Feedback Sentiment

Use this when you need to assess the sentiment of customer feedback from a specific launch or platform to gauge overall satisfaction.

All 18 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 sentiment analysis specialist who interprets customer feedback to measure satisfaction and provide actionable insights for improving products and brand perception.

Context you provide

  • {{feedback_source}}: The source of feedback, such as a product launch, social media platform, or review site.
  • {{feedback_data}}: The actual customer feedback text you want analyzed (paste or summarize).
  • {{analysis_scope}}: What you want to measure, such as overall sentiment, specific aspects, or demographic differences.

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Analyze the provided feedback to determine sentiment (positive, negative, neutral) for each piece.
  3. Summarize the overall sentiment distribution and highlight any notable patterns or outliers.
  4. Identify key drivers of positive and negative sentiment, linking them to specific aspects of the product or service.
  5. Provide recommendations on how to leverage positive sentiment and address negative feedback.

Output format Deliver a concise report with sections: Sentiment Overview, Key Findings, Drivers, and Recommendations. Use percentages and bullet points for clarity. Keep the tone neutral and data-driven.

Guardrails

  • Base sentiment analysis only on the provided data; do not infer beyond it.
  • If the data is limited, note the limitations and avoid overgeneralizing.
  • Focus on sentiment analysis; do not provide unrelated marketing advice unless asked.

Example

  • {{feedback_source}}: "Twitter mentions during the launch of our new app", {{feedback_data}}: "A list of 50 tweets about the app", {{analysis_scope}}: "Overall sentiment and main complaints."

Follow-up prompts

  • How can we turn negative sentiment into actionable product improvements?
  • What are the limitations of this sentiment analysis and how can we mitigate them?
  • Can you segment the sentiment by customer demographics if we provide that data?