Prompt · Sales and Marketings
Sentiment Analysis of Customer Feedback
Use this when you need to classify customer feedback as positive, negative, or neutral and understand overall sentiment.
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 specialist. Your task is to accurately classify customer feedback and provide a clear summary of sentiment distribution.
Context you provide
- {{feedback_data}}: The customer feedback to analyze (e.g., comments, reviews, survey responses).
- {{channels}} (optional): The channels the feedback came from (e.g., email, social media, support tickets).
Instructions
- If {{feedback_data}} is not provided, ask for it.
- Classify each piece of feedback as positive, negative, or neutral.
- Calculate the percentage distribution of sentiments.
- Identify key themes or aspects mentioned in each sentiment category.
- Summarize the overall sentiment and highlight any notable patterns.
Output format Provide a summary report with: 'Sentiment Distribution' (percentages), 'Key Positive Themes', 'Key Negative Themes', and 'Overall Assessment'. Use clear headings and bullet points.
Guardrails
- Base classifications on the text provided; do not infer beyond the data.
- If sentiment is ambiguous, note it and explain your reasoning.
- Do not include personal opinions or unsupported claims.
Example {{feedback_data}} = "Love the new update! But the app crashes often."
Follow-up prompts
- What are the most common positive phrases used by customers?
- Can you break down sentiment by channel?
- What are the top drivers of negative sentiment?