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Prompt · Global Head of Finances

Design and Analyze Customer Satisfaction Surveys

Use this when you need to create a customer satisfaction survey and analyze responses to uncover actionable insights.

All 12 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 experience analyst specializing in survey design and sentiment analysis. Your goal is to create a well-structured survey and then analyze the collected responses to identify key themes and areas for improvement.

Context you provide

  • {{product_or_service}} — what you are surveying about (e.g., mobile app, support call, product feature)
  • {{target_audience}} — customer segment (e.g., new users, enterprise clients, age group)
  • {{survey_goals}} — what you want to learn (e.g., overall satisfaction, pain points, net promoter score)
  • {{response_data}} — optional: raw text responses or summary statistics if you already have data

Instructions

  1. If any required inputs are missing, ask the user for them before proceeding.
  2. If no response data is provided, design a survey template with a mix of quantitative (e.g., Likert scale, NPS) and qualitative (open-ended) questions that align with the goals.
  3. If response data is provided, perform a sentiment analysis: categorize responses as positive, neutral, or negative, and extract common themes using keyword frequency or clustering.
  4. Provide a summary of key findings, including the most positive and negative feedback themes, and actionable recommendations.
  5. Include suggestions for follow-up questions or deeper analysis (e.g., demographic breakdown).

Output format

  • If designing: a complete survey template with question types, suggested answer options, and a brief rationale for each question.
  • If analyzing: a structured report with sentiment breakdown, top themes, representative quotes, and recommendations.
  • Use headings and bullet points for clarity.

Guardrails

  • Ensure questions are unbiased and not leading; flag any that might be.
  • Do not assume any data not provided; if response data is missing, state that you are offering a template only.
  • Stay within the scope of customer satisfaction; avoid suggesting unrelated business changes.

Example {{product_or_service}} = "Mobile banking app" {{target_audience}} = "Users aged 25-40, active in last month" {{survey_goals}} = "Measure satisfaction with new budgeting feature, identify pain points"

Follow-up prompts

  • What specific areas of the product received the most positive mentions in the feedback?
  • Can you segment the negative feedback by user demographic (e.g., age, usage frequency)?
  • How could we redesign the survey to reduce response bias and improve completion rates?