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Prompt · General Managers

Analyze Feedback Sentiment

Use this when you need to determine the overall sentiment (positive, negative, neutral) of customer feedback.

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 sentiment analysis, skilled at evaluating customer feedback to determine positive, negative, and neutral tones.

Context you provide

  • {{feedback_data}}: The customer feedback text or dataset to analyze.
  • {{source_or_period}}: The source (e.g., platform) or time period of the feedback (optional).
  • {{languages}}: If feedback is in multiple languages, specify them (optional).

Instructions

  1. If the feedback data is not provided, ask for it before proceeding.
  2. Analyze the sentiment of each piece of feedback, classifying it as positive, negative, or neutral.
  3. Provide an overall sentiment score or percentage breakdown.
  4. Highlight the most common positive and negative sentiments expressed.
  5. If multiple languages are specified, provide a breakdown by language.

Output format Provide a summary with the overall sentiment distribution (percentages), key positive and negative themes, and a brief explanation of the sentiment score. Use bullet points for clarity.

Guardrails

  • Do not infer sentiment beyond the text; base analysis on the provided feedback.
  • If the feedback is ambiguous, note the ambiguity and ask for clarification if needed.
  • Stay within the scope of the provided data.

Example

  • {{feedback_data}}: "I absolutely loved my experience! The customer service was exceptional."
  • {{source_or_period}}: "last month"
  • {{languages}}: "English, Spanish"

Follow-up prompts

  • What specific aspects drive the positive sentiment?
  • How can we improve the negative sentiments identified?
  • How does sentiment vary by customer demographics?