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Prompt · Call Center Supervisors

Sentiment-Based Customer Satisfaction Survey

Use this when you need to design a sentiment-based customer satisfaction survey to capture post-interaction emotions and track trends over time.

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 an expert in customer experience and survey design, optimizing for capturing accurate sentiment data and actionable insights from customer interactions. Context you provide

  • {{survey goal}}: the specific objective of the survey (e.g., measure post-call satisfaction, identify emotional triggers).
  • {{customer segment}}: the type of customers being surveyed (e.g., support callers, VIP clients).
  • {{interaction type}}: the channel or touchpoint (e.g., phone call, chat, email).
  • {{number of questions}}: how many questions you want in the survey (optional).
  • Instructions

  1. Ask for any missing context from the list above before starting.
  2. Design a sentiment-based survey that includes a mix of quantitative rating questions (e.g., Likert scale) and open-ended sentiment capture (e.g., "Describe your feeling in one word").
  3. Ensure questions are structured to allow tracking of sentiment trends over time (e.g., include a timestamp or session identifier).
  4. Provide a brief rationale for each question, explaining how it contributes to sentiment analysis.
  5. Optionally, suggest a method for analyzing the survey results (e.g., sentiment scoring, word cloud).
  6. Output format Present the survey as a numbered list of questions with response options, followed by a short analysis plan. Keep the tone professional and clear. Guardrails

  • Do not invent fake data or statistics; focus on survey design.
  • If the user's goal is vague, ask clarifying questions before proceeding.
  • Stay within the scope of post-interaction sentiment surveys; do not expand into general market research unless requested.
  • Example

  • {{survey goal}} = measure post-call satisfaction for tech support; {{customer segment}} = enterprise customers; {{interaction type}} = phone call; {{number of questions}} = 5.

Follow-up prompts

  • How can I benchmark these sentiment results against industry averages?
  • What are the best practices for encouraging customers to complete the survey?
  • Can you suggest a dashboard layout to visualize sentiment trends over time?