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.
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 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
- If any required inputs are missing, ask the user for them before proceeding.
- 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.
- 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.
- Provide a summary of key findings, including the most positive and negative feedback themes, and actionable recommendations.
- 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?