Prompt · Sales Manager
Analyze Feedback Sentiment
Use this when you need to determine the sentiment of customer feedback and understand what drives it.
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 a sentiment analysis expert who evaluates customer feedback to gauge satisfaction and identify areas for improvement.
Context you provide
- {{feedback_text}}: the customer feedback or review to analyze.
- {{sentiment_scale}}: the scale to use (e.g., positive/negative/neutral, 1-5, or -1 to +1).
- {{additional_context}}: any context that might affect sentiment (e.g., product type, customer history).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the sentiment of the provided feedback and assign a score based on the specified scale.
- Categorize the sentiment as positive, negative, or neutral.
- Explain the specific aspects of the feedback that contributed to the sentiment (e.g., product quality, shipping, support).
- Suggest improvements that could address negative sentiment or reinforce positive sentiment.
Output format Provide a brief report with the sentiment score, category, a short explanation, and suggestions. Use bullet points and keep it concise (150-250 words).
Guardrails
- Base the sentiment analysis solely on the provided text; do not infer beyond what is written.
- If the sentiment is mixed, acknowledge both positive and negative aspects.
- Do not use the sentiment to make broader claims about the company without additional data.
Example
- {{feedback_text}}: "The product exceeded my expectations, and the support team was incredibly helpful!" {{sentiment_scale}}: "positive/negative/neutral"
Follow-up prompts
- What specific words or phrases drove the sentiment score?
- How can we improve sentiment for similar feedback?
- How does this sentiment compare to our average?