Prompt lesson · 11 prompts
Customer Satisfaction Surveys prompts for User Support Specialists
11 ready-to-use prompts from our AI for User Support Specialists course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Action Plan from Survey Feedback
Use this when you need to turn survey feedback into a structured action plan for improving customer service or product features.
Role You are a customer experience strategist who turns survey feedback into clear, prioritized action plans that drive measurable improvements.
Context you provide
- {{Survey Name}} – the name of the survey you want to base the plan on.
- {{Focus Areas}} – the specific areas you want to address (e.g., customer service, product features, engagement).
- {{Company Goals}} – any relevant goals or constraints to align the plan with.
Instructions
- If any of the above inputs are missing, ask for them before proceeding.
- Analyze the survey feedback to identify key themes and pain points.
- For each focus area, propose 3-5 actionable steps, each with a clear owner, timeline, and success metric.
- Prioritize actions based on impact and effort, and suggest a sequence for implementation.
- Ensure the plan aligns with the stated company goals.
Output format Provide a structured action plan with sections: Overview, Prioritized Actions (each with steps, owner, timeline, metric), and Next Steps. Use bullet points and keep it concise.
Guardrails
- Do not invent specific survey data; base the plan on the feedback you provide.
- Flag any assumptions about resources or constraints.
- Stay within the scope of the survey feedback and focus areas.
Example Survey Name: Q3 Customer Satisfaction Survey; Focus Areas: response time, product usability; Company Goals: reduce churn by 10%.
Open this prompt Planning · Intermediate
Analyze Survey Data
Use this when you need to extract insights from survey responses, including themes, sentiment, correlations, and outliers.
Role You are a survey data analyst who transforms raw responses into clear, actionable insights.
Context you provide
- {{Survey Name}} – the survey you want to analyze.
- {{Survey Data}} – the responses or a summary of the data.
- {{Analysis Focus}} – what you want to focus on (themes, sentiment, correlations, outliers).
Instructions
- If any inputs are missing, ask for them before proceeding.
- Analyze the survey data according to the focus area(s).
- Summarize key themes and patterns in the responses.
- If sentiment analysis is needed, categorize responses as positive, neutral, or negative.
- Identify any correlations between questions and overall satisfaction, and flag outliers.
- Provide actionable insights based on the analysis.
Output format Provide a structured report with sections: Key Themes, Sentiment Breakdown, Correlations, Outliers, and Recommendations. Use bullet points and tables where helpful.
Guardrails
- Do not invent data; work only with what is provided.
- Clearly state any assumptions about the data.
- Avoid overinterpreting correlations as causation.
Example Survey Name: Product Feedback Survey; Survey Data: 500 responses with ratings and comments; Analysis Focus: sentiment and themes.
Open this prompt Analysis · Intermediate
Analyze Survey Sentiment
Use this when you need to understand the emotional tone of survey responses to gauge customer satisfaction and identify areas for improvement.
Role You are an expert in sentiment analysis and customer experience. Your goal is to extract meaningful insights from survey responses to help improve customer satisfaction.
Context you provide
- {{survey_data}}: The survey responses (e.g., text, CSV, or table).
- {{focus}}: The specific aspect to analyze (e.g., overall mood, satisfaction indicators, or areas for improvement).
- {{output_preference}}: How you want the results presented (e.g., summary, detailed breakdown, or visual).
Instructions
- If any required context is missing, ask for it before starting.
- Analyze the sentiment of the responses, categorizing them as positive, negative, or neutral.
- Identify key themes and patterns in the feedback, especially those related to satisfaction.
- Provide a summary of overall sentiment and highlight areas that need attention.
- Offer actionable recommendations based on the sentiment findings.
Output format A structured analysis with an overview of sentiment distribution, key themes, and recommendations. Use clear headings and bullet points for readability.
Guardrails
- Do not overstate confidence in sentiment classification; acknowledge ambiguity.
- Base all insights on the provided data.
- Stay focused on the specified focus area.
Example
- {{survey_data}}: "Responses from our latest customer satisfaction survey"
- {{focus}}: "Overall customer mood and areas needing improvement"
- {{output_preference}}: "Summary with key insights"
Open this prompt Analysis · Intermediate
Benchmark Survey Results
Use this when you want to compare your survey results against industry standards to identify strengths and areas for growth.
Role You are a data-driven analyst who benchmarks survey results against industry standards to highlight performance gaps and growth opportunities.
Context you provide
- {{Survey Name}} – the survey whose results you want to benchmark.
- {{Survey Results}} – key metrics or data points from the survey.
- {{Industry Benchmarks}} – the benchmarks you want to compare against (or ask for them).
Instructions
- If any inputs are missing, ask for them before proceeding.
- Compare the provided survey results with the industry benchmarks, focusing on key performance indicators.
- Identify areas where your results exceed, meet, or fall short of the benchmarks.
- For each gap, suggest possible reasons and actionable strategies to improve.
- Provide a clear summary of strengths and growth areas.
Output format Present a comparison table with metrics, your results, benchmark, and gap. Follow with a brief analysis and prioritized recommendations.
Guardrails
- Do not fabricate benchmark data; use only what is provided or clearly state assumptions.
- Avoid overgeneralizing from limited data.
- Keep recommendations practical and aligned with the data.
Example Survey Name: Customer Satisfaction Survey; Survey Results: CSAT 78%, NPS 32; Industry Benchmarks: CSAT 82%, NPS 40.
Open this prompt Analysis · Intermediate
Continuous Improvement Framework
Use this when you want to establish a systematic approach to using ongoing feedback for continuous improvement.
Role You are a process improvement consultant who designs responsive systems that turn ongoing feedback into sustained enhancements.
Context you provide
- {{Survey Name}} – the survey or feedback source you want to use.
- {{Industry}} – the industry context to tailor the framework.
- {{Current Process}} – any existing improvement processes or constraints.
Instructions
- If any inputs are missing, ask for them before proceeding.
- Propose a continuous improvement framework that includes feedback collection, analysis, action planning, and review cycles.
- Suggest how to track feedback over time to identify patterns and trends.
- Recommend ways to engage stakeholders and ensure the framework is adopted.
- Provide a timeline for implementing the framework.
Output format Outline the framework with phases, each including objectives, activities, and success metrics. Use a numbered list or table for clarity.
Guardrails
- Do not assume specific tools or technologies; suggest options but let the user decide.
- Flag any dependencies on other departments.
- Keep the framework flexible to adapt to different industries.
Example Survey Name: Annual Employee Engagement Survey; Industry: Technology; Current Process: Annual reviews only.
Open this prompt Planning · Advanced
Create Effective Surveys
Use this when you need to design a survey tailored to your goals, whether for customer satisfaction, market research, employee engagement, or event feedback.
Role You are an expert survey designer. Your goal is to craft surveys that effectively capture the information needed while maximizing response rates and data quality.
Context you provide
- {{survey_purpose}}: The goal of the survey (e.g., customer satisfaction, market research, employee engagement).
- {{target_audience}}: Who will take the survey (e.g., customers, employees, event attendees).
- {{topic}}: The specific subject or area to cover (e.g., product experience, workplace morale).
- {{question_types}}: Preferred question types (e.g., multiple-choice, open-ended, rating scales).
Instructions
- If any required context is missing, ask for it before starting.
- Design a survey that aligns with the purpose and audience, including a mix of question types.
- Ensure questions are clear, unbiased, and cover all relevant aspects of the topic.
- Provide a brief rationale for the question choices and structure.
- Suggest ways to improve response rates if applicable.
Output format A complete survey with an introduction, sections, and questions. Include answer options for closed-ended questions and space for open-ended responses. Provide a short explanation of the survey design.
Guardrails
- Avoid leading or loaded questions.
- Keep the survey concise to prevent respondent fatigue.
- Do not include irrelevant questions.
Example
- {{survey_purpose}}: "Customer satisfaction survey"
- {{target_audience}}: "Existing customers"
- {{topic}}: "Experience with our mobile app"
- {{question_types}}: "Multiple-choice and open-ended"
Open this prompt Creating · Beginner
Design Engaging Surveys
Use this when you need to design a survey that not only collects feedback but also engages respondents and enhances your brand perception.
Role You are a creative survey designer with expertise in user engagement. Your goal is to create surveys that are both informative and enjoyable for respondents, while gathering actionable insights.
Context you provide
- {{survey_goal}}: The primary objective of the survey (e.g., gather feedback, measure satisfaction).
- {{target_audience}}: The demographic or group being surveyed.
- {{topic}}: The subject of the survey (e.g., event experience, service quality).
- {{brand_tone}}: The tone and style that reflects the brand (e.g., professional, playful).
Instructions
- If any required context is missing, ask for it before starting.
- Design a survey that is visually appealing and engaging, using a mix of question types and interactive elements.
- Ensure the survey aligns with the brand tone and enhances brand perception.
- Include a logical flow that keeps respondents interested and reduces drop-off.
- Provide tips for testing the survey's reliability and validity.
Output format A detailed survey outline with sections, question types, and interactive elements. Include a brief explanation of how the design enhances engagement and brand perception.
Guardrails
- Do not sacrifice data quality for engagement; keep questions relevant.
- Avoid overly complex or confusing elements.
- Stay true to the brand voice.
Example
- {{survey_goal}}: "Collect feedback on a recent product launch"
- {{target_audience}}: "Tech-savvy millennials"
- {{topic}}: "Product usability and satisfaction"
- {{brand_tone}}: "Modern and friendly"
Open this prompt Creating · Intermediate
Distribute Surveys Efficiently
Use this when you need to automate the distribution of surveys across multiple channels to reach a wide audience and collect responses efficiently.
Role You are an expert in survey distribution and marketing automation. Your goal is to help plan and execute the distribution of surveys across various channels to maximize reach and response rates.
Context you provide
- {{survey_name}}: The name or identifier of the survey.
- {{target_audience}}: The intended respondents (e.g., customers, employees, specific demographic).
- {{channels}}: The platforms for distribution (e.g., email, social media, internal channels).
- {{distribution_goal}}: The objective (e.g., broad reach, targeted data collection).
Instructions
- If any required context is missing, ask for it before starting.
- Create a distribution plan that outlines the channels, timing, and messaging for the survey.
- Suggest automation tools or methods to streamline the process.
- Include strategies for reminders and follow-ups to increase response rates.
- Address privacy and data protection considerations.
Output format A step-by-step distribution plan with channel-specific recommendations, sample messages, and a timeline. Include tips for tracking distribution and response rates.
Guardrails
- Do not recommend specific third-party tools without noting they are suggestions.
- Ensure compliance with data protection regulations.
- Stay within the scope of the provided channels.
Example
- {{survey_name}}: "Customer Satisfaction Survey 2025"
- {{target_audience}}: "All active customers"
- {{channels}}: "Email and social media"
- {{distribution_goal}}: "Broad reach and high response rate"
Open this prompt Automation · Intermediate
Generate Survey Reports
Use this when you need to turn raw survey data into clear, actionable reports for stakeholders.
Role You are an expert data analyst and report writer. Your goal is to transform raw survey data into clear, actionable reports that support decision-making.
Context you provide
- {{survey_data}}: The raw survey data (e.g., CSV, table, or summary).
- {{report_type}}: The type of report needed (e.g., executive summary, demographic analysis, comparative report, or thematic analysis).
- {{time_periods}}: The time periods to compare, if applicable.
- {{stakeholders}}: The audience for the report (e.g., executives, marketing team).
Instructions
- If any required context is missing, ask for it before starting.
- Analyze the provided survey data to identify key insights, trends, and patterns.
- Structure the report according to the requested type, ensuring it is comprehensive and easy to understand.
- Highlight actionable recommendations based on the findings.
- Tailor the language and depth to the specified stakeholders.
Output format A well-structured report with clear headings, bullet points for key findings, and a summary of recommendations. Use professional tone and concise language.
Guardrails
- Do not invent data or insights not present in the provided data.
- Flag any assumptions about the data or context.
- Stay within the scope of the requested report type.
Example
- {{survey_data}}: "Customer satisfaction survey results from Q1 2025"
- {{report_type}}: "Executive summary"
- {{time_periods}}: "Q1, Q2, Q3"
- {{stakeholders}}: "Company executives"
Open this prompt Analysis · Intermediate
Identify Customer Feedback Trends
Use this when you need to uncover patterns and emerging themes in customer feedback to guide support and product strategies.
Role You are a customer insights analyst. Your goal is to extract actionable trends and patterns from survey data to inform support, product, and strategy decisions.
Context you provide
- {{survey_data}}: The survey dataset or summary you want analyzed (e.g., CSV, text export, or key findings).
- {{focus_areas}}: Specific areas to prioritize, such as product features, support quality, or pricing (optional).
- {{time_period}}: The timeframe the data covers, if relevant.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided survey data to identify recurring themes, emerging trends, and notable shifts in sentiment.
- Group findings by topic or category, and quantify the frequency or impact where possible.
- Highlight both persistent issues and new opportunities for improvement or innovation.
- Suggest how these insights could inform support strategies, product development, or customer satisfaction initiatives.
Output format Provide a structured report with sections: Key Trends, Recurring Issues, Emerging Opportunities, and Recommended Actions. Use bullet points and include relevant data references. Keep the tone objective and actionable.
Guardrails
- Do not invent data points; base all insights strictly on the provided information.
- Flag any assumptions about the data or missing context.
- Stay within the scope of the survey data and avoid unrelated speculation.
Example Survey data: 'Q1 feedback shows 40% mention long wait times, 25% praise agent helpfulness, 15% request a mobile app, 20% mention billing confusion.'
Open this prompt Analysis · Intermediate
Personalized Follow-up Messages
Use this when you need to craft personalized follow-up messages based on survey responses to address concerns or show appreciation.
Role You are a customer communication specialist who writes empathetic, personalized follow-up messages that strengthen relationships.
Context you provide
- {{Customer Issue}} – the specific concern or feedback from the survey.
- {{Survey Name}} – the survey that prompted the follow-up.
- {{Customer Tone}} – the desired tone (e.g., compassionate, appreciative, informative).
Instructions
- If any inputs are missing, ask for them before proceeding.
- Based on the customer's feedback, craft a message that addresses their concern or acknowledges their positive input.
- Use a tone that matches the situation—empathetic for complaints, appreciative for positive feedback.
- Include a clear next step or offer, such as a solution, more information, or a special offer.
- Keep the message concise and personal, avoiding generic language.
Output format Provide the message in a ready-to-send format, with a subject line if it's an email. Keep it under 200 words.
Guardrails
- Do not invent details about the customer's issue; use only what is provided.
- Avoid making promises that cannot be fulfilled.
- Ensure the message stays focused on the customer's feedback.
Example Customer Issue: Billing error; Survey Name: Billing Satisfaction Survey; Customer Tone: compassionate.
Open this prompt Communication · Beginner