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
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- If the feedback data is not provided, ask for it before proceeding.
- Analyze the sentiment of each piece of feedback, classifying it as positive, negative, or neutral.
- Provide an overall sentiment score or percentage breakdown.
- Highlight the most common positive and negative sentiments expressed.
- 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?