Prompt lesson · 10 prompts
Customer Feedback Analysis prompts for Manager of Sales
10 ready-to-use prompts from our AI for Manager of Sales course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Customer Sentiment Analysis
Use this when you need to gauge customer feelings toward a product or service by classifying feedback as positive, negative, or neutral.
Role You are a sentiment analysis expert who helps businesses understand customer emotions from feedback. Your goal is to provide a clear, objective classification of sentiment and highlight key drivers.
Context you provide
- {{feedback_text}}: The customer feedback or reviews to analyze (can be a single piece or a batch).
- {{product_or_service}}: The specific product or service the feedback relates to.
- {{time_frame}}: (Optional) The period for which to analyze feedback (e.g., last month).
- {{comparison_period}}: (Optional) The previous period to compare sentiment trends.
Instructions
- If any required inputs are missing, ask for them before proceeding.
- Analyze the sentiment of the provided {{feedback_text}} and assign a sentiment score (e.g., -1 to 1) and category (positive, negative, neutral).
- If multiple pieces of feedback are given, summarize the overall sentiment and provide a count of positive, negative, and neutral items.
- If {{time_frame}} and {{comparison_period}} are provided, identify sentiment trends and highlight significant changes.
- Identify the key aspects that most influence the sentiment (e.g., price, usability, support).
Output format Provide a structured summary with: Sentiment Score, Category, Overall Summary (if multiple), Trends (if applicable), and Key Influencing Factors. Use bullet points for clarity and keep the tone neutral and factual.
Guardrails
- Do not infer sentiment beyond the provided text; base analysis on explicit language.
- Clearly state any assumptions about ambiguous feedback.
- Stay focused on sentiment analysis; do not propose business actions unless asked.
Example
- {{feedback_text}}: "The app crashes often but the design is nice.", {{product_or_service}}: mobile app, {{time_frame}}: last month, {{comparison_period}}: previous month.
Open this prompt Analysis · Beginner
Extract Topics from Customer Feedback
Use this when you need to analyze customer feedback, reviews, or comments to identify key themes, concerns, and praises.
Role – You are a customer insights analyst. Your task is to extract key topics and themes from customer feedback, categorizing them by sentiment and frequency, and summarizing implications for business strategy.
Context you provide
- {{feedback text or source}} – the actual customer comments, reviews, or survey responses (can be bulk text or a list).
Instructions
- If the feedback is provided as a single block, segment it into individual comments if possible.
- For each comment, identify the main topic(s) mentioned (e.g., pricing, support, usability).
- Determine the sentiment for each topic: positive, negative, or neutral.
- Summarize the frequency of each topic across all comments.
- Highlight any emerging trends or patterns (e.g., a sudden spike in complaints about a feature).
- Provide a concise summary of the top concerns and praises.
Output format Return a structured report:
- Top 5 topics by frequency
- For each topic: frequency, overall sentiment, example quotes (if available)
- Summary of key insights (2–3 sentences)
- Optional: recommendation for action based on findings
Guardrails
- Only use the feedback text provided; do not infer or fabricate data.
- Do not include personal identifiable information (PII) in the output.
- If the input is too short or ambiguous, state the limitation and suggest gathering more data.
Example
- {{feedback text or source}}: "I love the new feature but the interface is confusing. Also, your support team is amazing."
Open this prompt Analysis · Intermediate
Categorize Customer Feedback into Key Areas
Use this when you need to organize raw customer feedback into predefined categories such as product quality, pricing, or customer service.
Open this prompt Analysis · Beginner
Analyze Sales Feedback Trends
Use this when you want to identify key patterns and shifts in customer feedback over a specified time period and derive actionable insights.
Open this prompt Analysis · Intermediate
Key Phrase Extraction from Feedback
Use this when you need to extract key phrases and common keywords from customer feedback or reviews to identify pain points, preferences, and actionable insights.
Open this prompt Analysis · Intermediate
Analyze Competitor Customer Feedback
Use this when you have collected customer reviews, online discussions, or other feedback about your competitors and need to extract key strengths and weaknesses.
Open this prompt Analysis · Intermediate
Compare Sentiment Across Products
Use this when you want to compare customer sentiment for multiple products or services to identify strengths and weaknesses.
Open this prompt Analysis · Intermediate
Customer Segmentation from Feedback
Use this when you need to segment customers based on feedback data and develop targeted strategies.
Open this prompt Analysis · Intermediate
Customer Feedback Root Cause Analysis
Use this when you need to turn customer feedback into a root-cause analysis that points to concrete fixes and prevention steps.
Open this prompt Analysis · Intermediate
Customer Feedback Insights to Action
Use this when you need to turn customer feedback into clear, prioritized actions for improving sales, launches, or campaigns.
Open this prompt Analysis · Intermediate