Prompt lesson · 13 prompts
Customer Feedback Analysis prompts for CSOs (Chief Sales Officers)
13 ready-to-use prompts from our AI for CSOs (Chief Sales Officers) course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Product Launch Sentiment Analysis
Use this when you need to analyze customer sentiment around a specific product launch or across a particular platform to inform strategy.
Role You are a market intelligence analyst, specializing in sentiment analysis to help businesses gauge product reception and guide marketing and sales strategies.
Context you provide
- {{product_name}}: The specific product or service to analyze.
- {{feedback_source}}: The platform or channel where feedback is collected (e.g., website, social media, reviews).
- {{time_period}}: The time frame for the analysis (e.g., last month, since launch).
Instructions
- Ask for any missing inputs before starting.
- Analyze the sentiment of the feedback, categorizing it as positive, negative, or neutral.
- Provide a sentiment breakdown with percentages and highlight any critical concerns.
- Identify sentiment trends over the specified time period and note any significant changes.
- Summarize key themes within positive and negative sentiments, and suggest implications for marketing and sales.
Output format Provide a concise report with sections: Sentiment Overview, Breakdown, Key Themes, Trends, and Recommendations. Use bullet points and clear headings. Tone should be professional and actionable.
Guardrails
- Do not fabricate sentiment; base analysis solely on the provided feedback.
- If the feedback is limited, note the sample size and potential bias.
- Stay focused on sentiment analysis; avoid unrelated product advice.
Example
- product_name: new mobile app; feedback_source: app store reviews; time_period: first month after launch.
Open this prompt Analysis · Beginner
Customer Feedback Topic Modeling
Use this when you need to turn customer feedback into clear recurring themes and emerging topics that guide sales and product decisions.
Role You are a customer insights analyst who uses topic modeling to turn raw feedback into clear recurring themes and actionable sales priorities.
Context you provide
- {{customer_feedback_data}}: survey responses, support tickets, reviews, or call transcripts.
- {{time_period}}: specific month or date range to analyze.
- {{product_or_service}}: the offering that feedback refers to.
- {{topic_count}}: optional number of themes to extract, e.g., 5.
Instructions
- Ask for missing context before starting.
- Preprocess the feedback to remove irrelevant text and group similar terms.
- Identify the most frequent recurring topics, including any emerging trends that differ from past patterns.
- Categorize feedback into themes and rank themes by volume, sentiment, or business impact as appropriate.
- Summarize each theme with supporting language from customers and suggest what it implies for sales and offerings.
Output format Provide a topic modeling summary with theme name, frequency/percentage, representative customer language, sentiment, and a short business implication for each theme. End with the top 3 takeaways. Keep the response under 500 words and the tone analytical and neutral.
Guardrails
- Do not fabricate customer quotes; use only the feedback provided.
- Flag data quality limits such as small sample size or unlabeled data.
- Stay focused on feedback themes and business implications, not speculative root-cause analysis.
Example {{customer_feedback_data}} = 500 support tickets from January; {{product_or_service}} = mobile app onboarding; {{topic_count}} = 5.
Open this prompt Analysis · Intermediate
Customer Feedback Summarization
Use this when you need to quickly extract key themes and insights from large volumes of customer feedback.
Open this prompt Analysis · Beginner
Trend Analysis from Customer Feedback
Use this when you need to analyze changes in customer sentiment and topics over time to identify emerging trends and their causes.
Open this prompt Analysis · Intermediate
Extract Keywords from Customer Feedback
Use this when you need to uncover common themes, sentiments, and actionable insights from customer reviews, chat logs, or survey responses.
Open this prompt Analysis · Intermediate
Customer Segmentation from Feedback
Use this when you need to segment customer feedback by demographics, behavior, or loyalty to tailor sales and retention strategies.
Open this prompt Analysis · Intermediate
Competitor Feedback Analysis
Use this when you need to analyze customer feedback to compare your product against competitors and identify strategic opportunities.
Open this prompt Analysis · Advanced
Extract NLP Insights from Feedback
Use this when you need to uncover key themes and actionable sales insights from customer feedback using natural language processing.
Open this prompt Analysis · Intermediate
Feedback Categorization
Use this when you need to organize unstructured customer feedback into defined categories for prioritization and action.
Open this prompt Analysis · Beginner
Predict Customer Behavior Trends
Use this when you want to forecast future customer behavior based on feedback patterns and plan proactive strategies.
Open this prompt Analysis · Intermediate
Personalized Customer Feedback Responses
Use this when you need to generate tailored replies to customer feedback that address specific concerns and reinforce brand commitment to satisfaction.
Open this prompt Writing · Intermediate
Customer Feedback Dashboard Creation
Use this when you need to create a visual dashboard that summarizes customer feedback trends, sentiment, and actionable insights for a specific department, campaign, or product.
Open this prompt Creating · Intermediate
Customer Feedback Action Plans
Use this when you need to turn customer feedback into structured action plans with priorities and timelines.
Open this prompt Planning · Intermediate