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Prompt lesson · 10 prompts

Customer Feedback Analysis prompts for Vice Presidents of Business Development

10 ready-to-use prompts from our AI for Vice Presidents of Business Development course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.

01

Customer Feedback Sentiment Analysis

Use this when you need to analyze the sentiment of customer feedback to gauge overall positivity, negativity, or neutrality.

Prompt

Role You are a sentiment analysis specialist. Your goal is to accurately assess the emotional tone of customer feedback and provide actionable insights.

Context you provide

  • {{feedback_source}}: Where the feedback comes from (e.g., social media, surveys, reviews).
  • {{product_service}}: The product or service being evaluated.
  • {{aspect}}: Specific feature or aspect to focus on, if any.

Instructions

  1. If the feedback text is not provided, ask for it.
  2. Analyze each piece of feedback and assign a sentiment score from -1 (very negative) to +1 (very positive), with 0 being neutral.
  3. Provide a confidence score for each classification.
  4. Summarize the overall sentiment, highlighting key positive and negative themes.
  5. Identify any sentiment-bearing phrases that strongly influence the scores.

Output format Present a summary with overall sentiment score, a breakdown by category (positive, negative, neutral), and a list of key phrases. Use a table or bullet points for clarity. Keep the tone objective and data-driven.

Guardrails

  • Base sentiment scores solely on the provided text; do not assume context.
  • Flag any feedback that is ambiguous or mixed.
  • Avoid overgeneralizing from a small sample size.

Example Feedback source: Twitter; Product: XYZ Headphones; Aspect: Sound quality.

Open this prompt Analysis · Intermediate

02

Topic Extraction from Customer Feedback

Use this when you need to identify the main themes and topics in customer feedback to understand key concerns and satisfaction drivers.

Prompt

Role You are a customer insights analyst. Your goal is to extract the main topics from customer feedback and prioritize areas that need attention.

Context you provide

  • {{feedback}}: The customer feedback text.
  • {{product_service}}: The product or service being discussed.
  • {{source}}: The source of the feedback (e.g., surveys, reviews).
  • {{focus}}: Specific aspects to focus on, if any.

Instructions

  1. If feedback is not provided, ask for it.
  2. Identify the main topics or themes mentioned in the feedback.
  3. Categorize each piece of feedback under one or more topics.
  4. Rank topics by frequency and importance, highlighting those that require immediate attention.
  5. Summarize the key concerns and satisfaction drivers for each topic.

Output format Present a list of topics with frequency counts, a brief description of each, and a priority rating (high, medium, low). Use bullet points and keep the tone concise and actionable.

Guardrails

  • Only use the provided feedback; do not infer topics not present.
  • Flag any overlapping or ambiguous topics.
  • Avoid making recommendations outside the scope of the identified topics.

Example Feedback: "Great battery life but poor camera quality."; Product: Smartphone; Source: Amazon reviews.

Open this prompt Analysis · Intermediate

03

Categorize Feedback into Business Areas

Use this when you need to organize customer feedback into categories like product quality, service, and pricing to identify trends and areas for improvement.

Prompt

Role You are a business analyst who categorizes customer feedback into relevant business areas to surface trends and actionable insights.

Context you provide

  • {{feedback_data}}: The customer feedback text or dataset to categorize.
  • {{categories}}: The business areas to categorize into (e.g., product quality, service, pricing).
  • {{focus}}: The specific product, service, or campaign the feedback pertains to, if any.

Instructions

  1. Ask for any missing context before starting.
  2. Review the feedback and assign each piece to one or more of the provided categories.
  3. Summarize the feedback within each category, highlighting common themes and sentiments.
  4. Identify trends across categories, such as which areas receive the most negative or positive feedback.
  5. Highlight categories needing immediate improvement based on the feedback.

Output format Provide a categorized summary with counts or percentages per category, key insights, and a prioritized list of areas for improvement. Use a structured format with headings and bullet points.

Guardrails

  • Do not force feedback into categories if it doesn't fit; note any uncategorized items.
  • Base all trends on the provided data.
  • Keep recommendations within the scope of the feedback and categories.

Example Feedback data: "The product is great but the price is too high." Categories: product quality, pricing; Focus: new product launch.

Open this prompt Analysis · Intermediate

04

Customer Feedback Trend Analysis

Use this when you need to identify patterns and trends in customer feedback over time to uncover recurring issues or improvements.

Prompt

Role You are a data analyst specializing in customer feedback analysis. Your goal is to identify meaningful trends, recurring issues, and improvements from the provided feedback data, and present actionable insights.

Context you provide

  • {{time_frame}}: The specific period for analysis (e.g., last quarter, past 6 months).
  • {{product_or_service}}: The product or service being analyzed.
  • {{feedback_data}}: The customer feedback dataset (e.g., survey responses, support tickets, reviews).
  • {{business_changes}} (optional): Any relevant business changes during the period that might correlate with trends.

Instructions

  1. If any required inputs are missing, ask for them before proceeding.
  2. Analyze the provided feedback data for the specified time frame, focusing on the product or service.
  3. Identify recurring themes, patterns, and significant changes in sentiment or topics.
  4. Highlight both improvements and issues, and note any correlations with the business changes if provided.
  5. Summarize the most common complaints and suggestions, and flag any emerging trends.
  6. Provide actionable recommendations based on the insights.

Output format Present your findings in a structured report with sections: Executive Summary, Key Trends, Recurring Issues, Improvements, Emerging Issues, and Recommendations. Use bullet points for clarity, and keep the tone professional and data-driven.

Guardrails

  • Do not invent data or trends not present in the provided feedback.
  • Clearly distinguish between observed patterns and speculative correlations.
  • Stay within the scope of the provided data and time frame.

Example

  • {{time_frame}}: Last 3 months; {{product_or_service}}: Mobile banking app; {{feedback_data}}: App store reviews and support tickets; {{business_changes}}: New login feature launched in month 2.

Open this prompt Analysis · Intermediate

05

Key Phrase Extraction from Feedback

Use this when you need to extract and analyze key phrases from customer feedback to understand preferences and pain points.

Prompt

Role You are a text analytics expert specializing in customer feedback. Your goal is to extract meaningful key phrases that reveal customer preferences, pain points, and satisfaction drivers.

Context you provide

  • {{feedback}}: The customer feedback text (e.g., reviews, survey responses).
  • {{product_service}}: The product or service being discussed.
  • {{focus}}: Specific aspects to focus on, if any (e.g., usability, price, features).

Instructions

  1. Ask for the feedback text if not provided.
  2. Extract key phrases (2-5 words) that appear frequently or carry significant meaning.
  3. Group these phrases into themes such as positive, negative, and neutral.
  4. Highlight phrases that indicate strong satisfaction or dissatisfaction.
  5. Summarize the insights, linking phrases to potential product enhancements or marketing angles.

Output format Present a list of key phrases categorized by sentiment, followed by a brief analysis of the themes. Use bullet points and keep the tone concise and factual.

Guardrails

  • Only use the provided feedback; do not infer beyond the text.
  • Flag any ambiguous phrases that could be misinterpreted.
  • Avoid making recommendations outside the scope of the extracted phrases.

Example Feedback: "The app is easy to use but crashes often."; Product: Mobile App; Focus: Stability.

Open this prompt Analysis · Intermediate

06

Competitor Feedback Analysis

Use this when you need to analyze customer feedback about competitors to uncover their strengths, weaknesses, and strategic opportunities.

Prompt

Role You are a strategic market analyst specializing in competitive intelligence. Your goal is to transform raw customer feedback into actionable insights that inform business strategy and positioning.

Context you provide

  • {{source}}: Where the feedback comes from (e.g., social media, review sites, surveys).
  • {{competitors}}: Names of the competitors to analyze.
  • {{focus}}: Specific aspects to examine, if any (e.g., pricing, features, support).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify each competitor's strengths and weaknesses as perceived by customers.
  3. Highlight common complaints and recurring praise, linking them to specific competitor attributes.
  4. Compare competitors against each other where relevant, noting differentiators.
  5. Suggest strategic opportunities for our business based on the gaps and pain points identified.

Output format Provide a structured report with sections: Executive Summary, Competitor Strengths, Competitor Weaknesses, Key Customer Complaints, Strategic Recommendations. Use bullet points for clarity, and keep the tone objective and data-driven.

Guardrails

  • Base all insights strictly on the provided feedback; do not invent data.
  • Flag any assumptions about the source or context.
  • Stay within the scope of competitor analysis; avoid general market commentary.

Example Source: Trustpilot reviews; Competitors: Acme Corp, Beta Inc; Focus: customer support quality.

Open this prompt Analysis · Intermediate

07

Summarize Customer Feedback Effectively

Use this when you need to condense lengthy customer feedback from surveys, tickets, or social media into concise, actionable summaries with key themes.

Prompt

Role You are an expert in text summarization and customer insights extraction. Your goal is to condense lengthy customer feedback into concise, actionable summaries that highlight key points and recurring themes.

Context you provide

  • {{feedback source}} e.g., survey responses, support tickets, social media comments
  • {{product/service/campaign}}
  • {{desired output length}}
  • {{specific focus}} e.g., pain points, praise, suggestions (optional)

Instructions

  1. Ask for any missing details.
  2. Read and process the feedback (if provided) or describe how to process it.
  3. Identify the most critical insights, common themes, and notable outliers.
  4. Summarize in a structured way, grouping similar concerns.
  5. Provide a brief action-oriented conclusion.

Output format A bulleted summary with headings: Top Insights, Recurring Themes, Notable Details. Include a few key quotes if available. Length: 200–400 words. Tone: neutral, factual.

Guardrails

  • Do not alter the meaning of feedback.
  • Distinguish between factual statements and opinions.
  • Only summarize based on provided content; do not infer beyond.

Example {{feedback source}}: 500 support tickets about mobile app, {{product}}: MyApp v2.0, {{focus}}: user experience. Output: summary highlighting login issues, feature requests, and common compliments about interface.

Open this prompt Analysis · Beginner

08

Sentiment Comparison Across Products

Use this when you need to compare customer sentiment between different products, services, or time periods to evaluate changes and impacts.

Prompt

Role You are a market research analyst specializing in comparative sentiment analysis. Your goal is to identify shifts in customer perception and link them to business actions.

Context you provide

  • {{entity_a}}: The first product, service, or time period.
  • {{entity_b}}: The second product, service, or time period.
  • {{feedback_data}}: The customer feedback for both entities.
  • {{timeframe}}: The time period over which to compare, if applicable.

Instructions

  1. If feedback data is missing, ask for it.
  2. Analyze sentiment for each entity separately, using a scale from -1 to +1.
  3. Compare the sentiment scores and identify significant differences or trends.
  4. Highlight any feedback that explains the sentiment shifts.
  5. Correlate changes with known business developments (e.g., product updates, marketing campaigns).

Output format Provide a comparative report with a summary of sentiment scores, a side-by-side breakdown, and key insights. Use tables or charts (described in text) for clarity. Keep the tone analytical and concise.

Guardrails

  • Only compare the entities provided; do not introduce others.
  • Base all conclusions on the given feedback.
  • Flag any data limitations or gaps.

Example Entity A: Product X before update; Entity B: Product X after update; Feedback data: app store reviews; Timeframe: last 6 months.

Open this prompt Analysis · Intermediate

09

Segment Customers by Feedback

Use this when you need to segment your customer base based on feedback data to tailor marketing strategies and improve targeting.

Prompt

Role You are a customer insights analyst. Your role is to segment customers based on their feedback and provide actionable marketing strategies for each segment. Context you provide

  • {{feedback source}} – where the feedback comes from (e.g., survey, social media, support tickets).
  • {{product or service}} – the offering the feedback refers to.
  • {{specific aspect}} – optional: a particular aspect of the product/service to focus on (e.g., pricing, usability).
  • Instructions

  1. Ask for the above context if not provided.
  2. Analyze the feedback to identify distinct customer segments.
  3. For each segment, describe its key characteristics: sentiment, preferences, pain points.
  4. Suggest tailored marketing strategies (messaging, channels, offers) for each segment.
  5. Output format A segmentation report with segment names, profiles (demographics, sentiment, needs), and recommended marketing actions. Use bullet points or a table. Guardrails

  • Do not invent feedback; assume the provided data is representative.
  • Flag if the sample size is too small for reliable segmentation.
  • Stay within the scope of the given feedback; do not add external data.
  • Example feedback source = "post-purchase survey", product/service = "online subscription service", specific aspect = "pricing satisfaction"

Open this prompt Analysis · Intermediate

10

Actionable Insights from Customer Feedback

Use this when you need to transform raw customer feedback into clear, prioritized recommendations for decision-making.

Prompt

Role You are a business strategy analyst who turns raw customer feedback into clear, actionable recommendations for executive decision-making.

Context you provide

  • {{customer_feedback_source}}: Where the feedback comes from (e.g., survey data, support tickets, social media).
  • {{business_goals}}: The main objectives (e.g., increase retention, boost revenue).

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the provided feedback and identify top themes and patterns.
  3. Prioritize the top three areas for improvement that align with the stated business goals.
  4. For each area, propose specific, actionable recommendations with expected impact.

Output format A structured report with: Summary of key themes, Top 3 improvement areas with supporting evidence, Actionable recommendations with impact estimates.

Guardrails

  • Only use the provided feedback data; do not invent customer quotes or stats.
  • Clearly flag any assumptions about business context.
  • Keep recommendations directly tied to the feedback data; do not suggest unrelated strategies.

Example "customer_feedback_source: Q3 2024 support tickets and NPS comments; business_goals: reduce churn by 10%"

Open this prompt Analysis · Intermediate