Complete AI Training

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.

All 15 prompts in this lesson

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 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

  1. If any inputs are missing, ask for them before starting.
  2. Analyze the survey responses to determine sentiment (positive, neutral, negative) for each response.
  3. Categorize responses by sentiment and identify recurring themes or issues within each category.
  4. Provide a summary of overall customer sentiment, highlighting key strengths and weaknesses.
  5. 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?