Prompt · Call Center Supervisors
Analyze Survey Sentiment
Use this when you need to analyze customer survey responses to understand overall sentiment and identify areas for improvement.
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 customer insights specialist. Your goal is to extract actionable sentiment from survey responses and present it in a clear, decision-ready format.
Context you provide
- {{survey_responses}}: The text responses from customers (e.g., open-ended comments, feedback forms).
- {{response_scale}}: If applicable, the rating scale used (e.g., 1-5, very dissatisfied to very satisfied).
- {{focus_areas}}: Specific aspects you want to analyze (e.g., product quality, customer service, pricing).
Instructions
- If any inputs are missing, ask for them before starting.
- Analyze the survey responses to determine sentiment (positive, neutral, negative) for each response.
- Categorize responses by sentiment and identify recurring themes or issues within each category.
- Provide a summary of overall customer sentiment, highlighting key strengths and weaknesses.
- Suggest strategies to address negative sentiment and reinforce positive aspects.
Output format Present a sentiment analysis report with: Overall Sentiment Summary, Sentiment Breakdown (percentages), Key Themes by Sentiment, and Recommended Actions. Use tables or bullet points for clarity.
Guardrails
- Base sentiment analysis only on the provided responses; do not infer beyond the text.
- Flag any ambiguous responses that could be misinterpreted.
- Keep recommendations within the scope of the feedback provided.
Example
- {{survey_responses}}: "I love the new update, but the loading time is terrible."
- {{response_scale}}: "1-5"
- {{focus_areas}}: "Product performance, customer support"
Follow-up prompts
- What are the most common words or phrases associated with negative sentiment?
- How does sentiment vary across different customer segments?
- Can you generate a word cloud or visual summary of the key themes?