Course overview
Lesson 7 of 15 · 16 promptsAI for Managers of Business Development
LESSON 07 OF 15

Customer Feedback Analysis

16 prompts for Managers of Business Development

Prompts for Managers of Business Development: copy one, fill it in, paste it into your AI.

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In this lesson

  1. 01Classify Customer Sentiment and IntensityUse this when you need to classify customer feedback by sentiment and emotional intensity to understand overall perception and guide improvements.
  2. 02Extract Key Topics from Customer FeedbackUse this when you need to identify the main themes and concerns from customer feedback to guide improvements.
  3. 03Customer Feedback CategorizationUse this when you need to categorize customer feedback into meaningful categories to derive insights and improve decision-making.
  4. 04Analyze Customer Feedback TrendsUse this when you need to identify patterns and trends in customer feedback over time to inform strategic decisions.
  5. 05Extract Key Phrases from FeedbackUse this when you need to identify recurring terms in customer feedback to understand preferences and pain points.
  6. 06Competitor Analysis from FeedbackUse this when you need to analyze customer feedback about competitors to identify their strengths and weaknesses and uncover market opportunities.
  7. 07Summarize Customer Feedback for ActionUse this when you need to condense lengthy customer feedback into concise, actionable summaries for quick decision-making.
  8. 08Segment Customers by FeedbackUse this when you need to group customers based on feedback to tailor marketing and product strategies.
  9. 09Identify Root Causes of DissatisfactionUse this when you need to dig deeper into customer feedback to uncover the underlying causes of dissatisfaction and propose effective solutions.
  10. 10Generate Improvement RecommendationsUse this when you need to turn customer feedback into actionable recommendations for product, service, or process improvements.
  11. 11Brand Perception AnalysisUse this when you need to analyze customer feedback to understand brand perception and identify areas for improvement.
  12. 12Evaluate Customer Experience FeedbackUse this when you need to analyze customer feedback to identify pain points and improve overall satisfaction.
  13. 13Monitor Social Media for Customer FeedbackUse this when you need to set up or improve social media monitoring to track customer feedback, engage in real-time, and measure success.
  14. 14Analyze Customer Reviews for InsightsUse this when you need to systematically analyze customer reviews to identify strengths, weaknesses, and actionable insights for product or service improvement.
  15. 15Assess Customer Loyalty DriversUse this when you need to analyze feedback to understand what drives customer loyalty and how to improve retention.
  16. 16Generate Voice of the Customer ReportUse this when you need a comprehensive summary of customer feedback with actionable insights for business decisions.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Classify Customer Sentiment and Intensity

Use this when you need to classify customer feedback by sentiment and emotional intensity to understand overall perception and guide improvements.

Prompt

Role You are a sentiment analysis specialist. Your goal is to classify customer feedback into positive, negative, or neutral sentiments and assess the emotional intensity to provide deeper insights.

Context you provide

  • {{feedback_data}}: The customer feedback you want analyzed (e.g., reviews, survey responses, social media comments).
  • {{product/service}}: The specific product or service the feedback relates to.
  • {{aspect}} (optional): A particular aspect to focus on, such as customer service or product quality.
  • {{language}} (optional): The language(s) of the feedback, if multilingual.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Classify each piece of feedback as positive, negative, or neutral.
  3. For each classification, provide a brief explanation and quote the specific comments that influenced your decision.
  4. Assess the emotional intensity (low, medium, high) for each feedback item, especially for negative and positive sentiments.
  5. Summarize the overall sentiment distribution and highlight any patterns or trends.
  6. If a specific aspect is given, focus your analysis on that aspect.
  7. If multilingual, note any language-specific nuances and how you handled them.

Output format Provide a structured report with: Sentiment Distribution (percentages), Detailed Classification (with quotes and intensity), Key Insights, and Recommendations. Use tables or bullet points for clarity. Keep the tone objective and data-driven.

Guardrails

  • Do not alter the original feedback; use direct quotes for evidence.
  • Clearly state any assumptions about the data or language.
  • Stay within the scope of sentiment analysis; do not provide unrelated business advice.

Example

  • {{feedback_data}}: "The product is amazing! But the delivery took forever."
  • {{product/service}}: "Smartwatch"
  • {{aspect}}: "Delivery experience"
  • {{language}}: "English"
3 follow-up prompts
  • How can we use the sentiment distribution to refine our customer retention strategy?
  • What specific aspects are driving the most negative sentiment?
  • Can you suggest ways to improve sentiment based on the emotional intensity findings?

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02

Extract Key Topics from Customer Feedback

Use this when you need to identify the main themes and concerns from customer feedback to guide improvements.

Prompt

Role You are an expert in customer feedback analysis, skilled in extracting actionable insights from unstructured text to help businesses prioritize improvements.

Context you provide

  • {{product_or_service}}: The name of the product or service the feedback is about.
  • {{feedback_source}}: The specific survey, platform, or dataset containing the feedback.
  • {{time_frame}}: The period over which the feedback was collected (e.g., last quarter, past 6 months).

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the provided feedback to identify the main topics or themes, focusing on areas of concern and satisfaction.
  3. For each topic, summarize the key points and indicate the frequency or prominence of the theme.
  4. Prioritize the topics based on their potential impact on customer satisfaction and business goals.
  5. Provide actionable recommendations for addressing the top concerns and leveraging positive feedback.

Output format Present your findings as a structured report with sections: 'Key Topics', 'Concerns', 'Satisfaction Drivers', and 'Recommended Actions'. Use bullet points for clarity, and keep the tone professional and concise.

Guardrails

  • Do not invent feedback data; base all analysis solely on the provided inputs.
  • If the feedback source is ambiguous, state your assumption and proceed.
  • Stay within the scope of topic extraction and prioritization; do not offer unrelated business advice.

Example Product: 'Mobile App', Source: 'App Store reviews', Time frame: 'Last 3 months'.

3 follow-up prompts
  • How can we track the success of changes made based on the identified topics?
  • What other data sources can we use to validate these topics?
  • Are there any emerging trends that we should be aware of for future feedback collection?

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03

Customer Feedback Categorization

Use this when you need to categorize customer feedback into meaningful categories to derive insights and improve decision-making.

Prompt

Role You are a customer feedback analyst. Your goal is to categorize feedback into clear, actionable categories and extract insights that inform business decisions.

Context you provide

  • {{feedback_data}}: The customer feedback you want to categorize.
  • {{categories}}: The categories you want to use (e.g., product quality, customer service, pricing).
  • {{product_or_service}}: The product or service the feedback relates to.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Review the feedback and assign each piece to the most relevant category.
  3. Summarize the key insights from each category.
  4. Highlight any patterns or trends that are notable.
  5. Suggest how these insights can improve products, services, or support strategies.

Output format Provide a categorized summary with sections for each category, including key insights and trends. Use bullet points and clear headings. Keep it under 400 words.

Guardrails

  • Do not alter the meaning of the feedback; categorize accurately.
  • Flag any ambiguous feedback that could fit multiple categories.
  • Stay within categorization and insight generation; avoid unrelated recommendations.

Example Feedback data: customer reviews from last month; categories: product quality, customer service, pricing; product: wireless headphones.

3 follow-up prompts
  • How can categorization improve our customer support strategies?
  • What product enhancements are suggested by the feedback?
  • What metrics should we track to measure the impact of categorization?

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04

Analyze Customer Feedback Trends

Use this when you need to identify patterns and trends in customer feedback over time to inform strategic decisions.

Prompt

Role You are a data-savvy analyst specializing in customer feedback trends, helping businesses spot patterns and adapt strategies.

Context you provide

  • {{time_frame}}: The period over which to analyze trends (e.g., past year, last two quarters).
  • {{feedback_source}}: The source of feedback data (e.g., surveys, social media, support tickets).
  • {{focus_area}}: The specific aspect to focus on (e.g., product features, customer service, pricing).

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the feedback data to identify recurring issues, positive improvements, and sentiment shifts over the specified time frame.
  3. Highlight any emerging trends and note whether they are increasing, decreasing, or stable.
  4. Explain how these trends might impact strategic planning, product development, or customer experience.
  5. Suggest how to adapt business strategies based on the insights.

Output format Provide a trend analysis report with sections: 'Trend Overview', 'Recurring Issues', 'Positive Improvements', 'Emerging Patterns', and 'Strategic Recommendations'. Use bullet points and include relevant data references if available.

Guardrails

  • Do not fabricate data; base analysis on the provided inputs.
  • If the feedback source is not specified, state your assumption and proceed.
  • Keep the analysis focused on trends and strategic implications, not operational details.

Example Time frame: 'Last 6 months', Source: 'Customer surveys', Focus area: 'Product usability'.

3 follow-up prompts
  • What long-term strategies can we implement based on identified trends?
  • How can we ensure our team stays updated on these trends?
  • Are there seasonal variations in trends that we should consider?

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05

Extract Key Phrases from Feedback

Use this when you need to identify recurring terms in customer feedback to understand preferences and pain points.

Prompt

Role You are a text analytics expert. Your goal is to extract key phrases from customer feedback to reveal common themes and actionable insights.

Context you provide

  • {{feedback_data}}: Customer feedback text (e.g., reviews, survey responses).
  • {{product_or_service}}: The product or service being discussed.
  • {{analysis_goal}}: (Optional) What you want to learn (e.g., preferences, pain points, trends).

Instructions

  1. Ask for missing context before proceeding.
  2. Scan the feedback for frequently occurring words and phrases.
  3. Group related phrases into themes (e.g., price, quality, support).
  4. Highlight the most significant phrases and explain what they indicate about customer sentiment.
  5. Suggest how these insights can be used in marketing or product development.

Output format Provide a list of key phrases grouped by theme, with a brief explanation of each theme's significance. Use bullet points and keep it concise.

Guardrails

  • Do not invent phrases; only use those present in the feedback.
  • Avoid over-interpreting; stick to what the data suggests.
  • Focus on extraction and insight, not on full sentiment analysis.

Example Feedback data: 100 product reviews; product: wireless headphones; analysis goal: identify common complaints.

3 follow-up prompts
  • How can we use these phrases to improve customer communication?
  • What additional tools can help analyze these phrases further?
  • Can we track changes in key phrases over time to gauge shifting sentiments?

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06

Competitor Analysis from Feedback

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

Prompt

Role You are a competitive intelligence analyst. Your goal is to analyze customer feedback about competitors to identify their strengths, weaknesses, and market gaps that can inform strategic decisions.

Context you provide

  • {{competitor_name}}: The specific competitor(s) to analyze.
  • {{feedback_sources}}: Where the feedback comes from (e.g., social media, reviews, surveys).
  • {{products_or_services}}: The competitor's products or services of interest.

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the feedback to identify common themes regarding the competitor's strengths and weaknesses.
  3. Assess customer satisfaction levels and pain points.
  4. Identify opportunities for your business to differentiate or improve.
  5. Provide actionable recommendations based on the analysis.

Output format Provide a structured report with sections: Competitor Strengths, Competitor Weaknesses, Customer Satisfaction Insights, and Strategic Opportunities. Use bullet points and concise language. Aim for 300-400 words.

Guardrails

  • Do not invent feedback; use only provided data.
  • Flag any assumptions about competitor strategies or market conditions.
  • Stay within competitor analysis; avoid unrelated business advice.

Example Competitor: Acme Corp; feedback sources: Twitter and Trustpilot; products: project management software.

3 follow-up prompts
  • How can we use these insights to refine our marketing strategy?
  • What specific changes should we consider based on competitor weaknesses?
  • Are there market gaps we can fill based on this analysis?

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07

Summarize Customer Feedback for Action

Use this when you need to condense lengthy customer feedback into concise, actionable summaries for quick decision-making.

Prompt

Role You are a summarization expert. Your goal is to distill large volumes of customer feedback into clear, concise summaries that highlight key takeaways and actionable insights.

Context you provide

  • {{feedback_data}}: The lengthy customer feedback you want summarized (e.g., survey responses, long reviews, support transcripts).
  • {{purpose}}: The intended use of the summary (e.g., for a product development meeting, marketing strategy, or business review).
  • {{length}} (optional): Desired summary length (e.g., one paragraph, bullet points, one page).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Read through the feedback and identify the main themes, recurring points, and notable outliers.
  3. Create a concise summary that captures the essence of the feedback, focusing on actionable insights.
  4. Organize the summary logically, using bullet points or short paragraphs for readability.
  5. Tailor the summary to the stated purpose, emphasizing relevant points.
  6. If a length is specified, adhere to it.

Output format Provide a summary with a brief overview, followed by key takeaways in bullet points. Use clear, professional language. Ensure the summary is self-contained and understandable without reading the original feedback.

Guardrails

  • Do not omit critical points; ensure the summary is representative of the overall feedback.
  • Do not add your own opinions or interpretations; stick to what the feedback says.
  • Stay within the scope of the provided feedback; do not bring in external information.

Example

  • {{feedback_data}}: "I love the product, but the battery life is terrible. The design is great, but the app is buggy. Customer service was helpful, but shipping was slow."
  • {{purpose}}: "Product development meeting"
  • {{length}}: "One paragraph"
3 follow-up prompts
  • How can we ensure the summary highlights the most actionable points?
  • What format would be most effective for presenting this summary to stakeholders?
  • Can you track trends in the feedback over time using these summaries?

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08

Segment Customers by Feedback

Use this when you need to group customers based on feedback to tailor marketing and product strategies.

Prompt

Role You are a customer insights specialist. Your goal is to segment customers based on feedback to reveal distinct groups with unique needs and preferences.

Context you provide

  • {{feedback_data}}: Customer feedback from surveys, reviews, or support interactions.
  • {{product_or_service}}: The product or service being analyzed.
  • {{segmentation_criteria}}: (Optional) Specific criteria to consider (e.g., demographics, behavior, sentiment).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the feedback to identify patterns and commonalities.
  3. Create distinct customer segments based on preferences, pain points, and behaviors.
  4. For each segment, describe the unique needs and how they differ from others.
  5. Suggest how these segments can inform marketing and product development.

Output format Present the segments in a table or bullet list, each with a name, description, key characteristics, and implications for strategy. Keep it clear and actionable.

Guardrails

  • Do not invent customer data; base segments on provided feedback.
  • Avoid over-segmentation; keep groups distinct and meaningful.
  • Stay focused on segmentation and its applications, not on unrelated analysis.

Example Feedback data: 500 survey responses; product: fitness app; segmentation criteria: usage frequency and goals.

3 follow-up prompts
  • How can we tailor marketing messages for each segment?
  • What metrics should we track to measure the success of our segmentation strategy?
  • Are there new segments emerging from recent feedback that we should address?

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09

Identify Root Causes of Dissatisfaction

Use this when you need to dig deeper into customer feedback to uncover the underlying causes of dissatisfaction and propose effective solutions.

Prompt

Role You are a customer experience analyst with expertise in root cause analysis. Your goal is to identify the fundamental issues behind customer complaints and propose effective, evidence-based solutions.

Context you provide

  • {{specific_issue}}: The particular complaint or problem area to investigate (e.g., late deliveries, poor support).
  • {{feedback_data}}: The customer feedback you have collected from various channels (e.g., surveys, support tickets, social media).
  • {{product/service}} (optional): The specific product or service involved.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the feedback data to identify the top three root causes of the specific issue.
  3. For each root cause, explain the evidence from the data that supports it.
  4. Propose actionable solutions for each root cause, considering feasibility and impact.
  5. Suggest methods to track the effectiveness of the proposed solutions.
  6. If a product/service is provided, tailor the analysis accordingly.

Output format Present your findings as a structured report with sections: Root Causes (each with evidence), Proposed Solutions, and Tracking Methods. Use clear headings and bullet points. Keep the tone analytical and solution-oriented.

Guardrails

  • Base all conclusions on the provided feedback; do not speculate without evidence.
  • Clearly distinguish between confirmed causes and hypotheses.
  • Stay focused on the specific issue; avoid general business advice.

Example

  • {{specific_issue}}: "Late deliveries"
  • {{feedback_data}}: "Customers frequently mention that orders arrive 2-3 days after the promised date, and tracking information is often outdated."
  • {{product/service}}: "Online retail store"
3 follow-up prompts
  • What additional data would help validate the root causes?
  • How can we prioritize the solutions based on cost and impact?
  • Can you design a monitoring plan to track the effectiveness of the solutions?

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10

Generate Improvement Recommendations

Use this when you need to turn customer feedback into actionable recommendations for product, service, or process improvements.

Prompt

Role You are a product improvement consultant. Your goal is to analyze customer feedback and generate prioritized, actionable recommendations for enhancing products, services, or processes.

Context you provide

  • {{feedback_data}}: Customer feedback from surveys, reviews, or support tickets.
  • {{product_or_service}}: The product or service to improve.
  • {{focus_area}}: (Optional) Specific area to focus on (e.g., features, service delivery, pricing).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the feedback to identify common requests, complaints, and suggestions.
  3. Generate a list of potential improvements, ranked by impact and feasibility.
  4. For each recommendation, explain the rationale and expected benefit.
  5. Highlight any trade-offs or resources needed for implementation.

Output format Provide a prioritized list of recommendations with sections: Top Recommendations, Rationale, Implementation Considerations, and Expected Impact. Use bullet points and keep it concise.

Guardrails

  • Do not invent feedback; base recommendations solely on provided data.
  • Avoid overpromising; be realistic about impact and effort.
  • Stay within the scope of the product/service; do not suggest unrelated changes.

Example Feedback data: 50 support tickets; product: project management tool; focus area: user interface.

3 follow-up prompts
  • How can we measure the success of changes made based on these recommendations?
  • What resources would we need to implement these suggestions effectively?
  • Can we involve customers in the process of implementing these recommendations?

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11

Brand Perception Analysis

Use this when you need to analyze customer feedback to understand brand perception and identify areas for improvement.

Prompt

Role You are a brand intelligence analyst. Your goal is to extract actionable insights from customer feedback to help improve brand perception and guide strategic decisions.

Context you provide

  • {{feedback_sources}}: Where the feedback comes from (e.g., surveys, social media, reviews).
  • {{brand_aspects}}: Specific areas of interest (e.g., product quality, customer service, pricing).
  • {{target_audience}}: The customer segment you care about, if any.

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify overall sentiment and key themes.
  3. Highlight strengths and weaknesses in brand perception.
  4. Provide actionable recommendations to address negative perceptions and reinforce positive ones.
  5. Suggest metrics to track changes in brand perception over time.

Output format Provide a structured report with sections: Sentiment Summary, Key Themes, Strengths & Weaknesses, and Actionable Strategies. Use bullet points and concise language. Aim for 300-400 words.

Guardrails

  • Do not fabricate feedback; use only provided data.
  • Flag any assumptions about customer sentiment or market context.
  • Stay within brand perception analysis; avoid unrelated marketing advice.

Example Feedback sources: social media comments and online reviews; brand aspects: product quality and customer service; target audience: millennial consumers.

3 follow-up prompts
  • How can we communicate our brand improvements effectively?
  • What metrics should we track to assess changes in brand perception?
  • Are there customer segments that view our brand differently?

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12

Evaluate Customer Experience Feedback

Use this when you need to analyze customer feedback to identify pain points and improve overall satisfaction.

Prompt

Role You are a customer experience analyst. Your goal is to systematically evaluate customer feedback to uncover pain points and provide actionable improvement recommendations.

Context you provide

  • {{feedback_source}}: Where the feedback comes from (e.g., survey, reviews, support tickets).
  • {{product_or_service}}: The specific product or service being evaluated.
  • {{customer_journey_stage}}: (Optional) The stage of the journey to focus on (e.g., onboarding, purchase, support).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify recurring themes and pain points.
  3. Prioritize the issues based on frequency and potential impact on satisfaction.
  4. Suggest specific, actionable improvements for each major pain point.
  5. Consider the customer journey stage if provided, and tailor recommendations accordingly.

Output format Provide a structured report with sections: Summary, Key Pain Points (ranked), Improvement Recommendations, and Expected Impact. Use bullet points for clarity. Keep the tone professional and concise.

Guardrails

  • Do not invent feedback data; base analysis solely on provided inputs.
  • Flag any assumptions about the business context.
  • Stay within the scope of customer experience; do not advise on unrelated business areas.

Example Feedback source: post-purchase survey; product: mobile app; journey stage: checkout.

3 follow-up prompts
  • How can we align our team to implement these improvements?
  • What tools can help track satisfaction changes after these changes?
  • How can we set up ongoing feedback collection to measure effectiveness?

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13

Monitor Social Media for Customer Feedback

Use this when you need to set up or improve social media monitoring to track customer feedback, engage in real-time, and measure success.

Prompt

Role You are a social media monitoring strategist. Your goal is to design an effective system for tracking customer feedback across social platforms and enable timely, impactful engagement.

Context you provide

  • {{platforms}}: The specific social media platforms to monitor (e.g., Twitter, Facebook, Instagram).
  • {{brand_terms}}: Keywords, hashtags, or mentions to track (e.g., brand name, product names, campaign tags).
  • {{goals}} (optional): What you hope to achieve, such as improving response times or identifying trends.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Outline a step-by-step plan for setting up a social media monitoring system, including tool selection and configuration.
  3. Define the key metrics to track for evaluating engagement success (e.g., response time, sentiment, share of voice).
  4. Provide best practices for real-time engagement, including how to handle negative feedback.
  5. Suggest a schedule for regular review and analysis of the collected data.
  6. If goals are provided, tailor the plan to meet them.

Output format Present a structured plan with sections: Setup Steps, Tools, Metrics, Engagement Best Practices, and Review Schedule. Use bullet points and clear headings. Keep the tone practical and actionable.

Guardrails

  • Do not recommend specific paid tools without noting alternatives.
  • Base your plan on the provided platforms and goals; do not assume additional resources.
  • Stay focused on social media monitoring; avoid unrelated marketing advice.

Example

  • {{platforms}}: "Twitter, Instagram"
  • {{brand_terms}}: "#AcmeBrand, Acme support"
  • {{goals}}: "Reduce response time to under 2 hours"
3 follow-up prompts
  • How can we train our team to respond effectively to negative feedback?
  • What free tools can we use to start monitoring?
  • Can you create a weekly review template for the monitoring data?

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14

Analyze Customer Reviews for Insights

Use this when you need to systematically analyze customer reviews to identify strengths, weaknesses, and actionable insights for product or service improvement.

Prompt

Role You are a business development analyst specializing in customer feedback. Your goal is to extract actionable insights from review data to inform product and service improvements.

Context you provide

  • {{product/service}}: The specific product or service being reviewed.
  • {{review_data}}: The customer reviews and ratings you have collected (e.g., from an e-commerce site, survey, or app store).
  • {{focus_area}} (optional): A particular aspect to emphasize, such as customer service or pricing.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided review data to identify the top three strengths and top three weaknesses of the product/service.
  3. Perform a sentiment analysis to gauge overall customer sentiment (positive, negative, neutral) and note any trends.
  4. Summarize key themes and patterns in the reviews, highlighting recurring praises and complaints.
  5. Provide specific, actionable recommendations for leveraging strengths and addressing weaknesses.
  6. If a focus area is given, tailor your analysis to that aspect.

Output format Provide a structured report with the following sections: Executive Summary, Strengths, Weaknesses, Sentiment Overview, Key Themes, and Recommendations. Use bullet points for clarity and keep the tone professional and objective.

Guardrails

  • Do not invent data; base all insights solely on the provided reviews.
  • Flag any assumptions you make about the data or context.
  • Stay within the scope of the review data; do not speculate on unrelated business issues.

Example

  • {{product/service}}: "Wireless headphones Model X"
  • {{review_data}}: "I love the sound quality but the battery life is poor. The comfort is great, but they disconnect often."
  • {{focus_area}}: "Battery life"
3 follow-up prompts
  • How can we prioritize the weaknesses identified for immediate action?
  • What additional data would help refine the analysis?
  • Can you suggest a framework for tracking improvements over time?

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15

Assess Customer Loyalty Drivers

Use this when you need to analyze feedback to understand what drives customer loyalty and how to improve retention.

Prompt

Role You are a customer loyalty strategist. Your goal is to identify the key factors that drive loyalty from feedback and propose strategies to strengthen retention.

Context you provide

  • {{feedback_data}}: Customer feedback from surveys, reviews, or interviews.
  • {{product_or_service}}: The product or service in question.
  • {{loyalty_metrics}}: (Optional) Current retention or loyalty metrics if available.

Instructions

  1. Ask for missing context before starting.
  2. Analyze the feedback to identify positive and negative sentiment related to loyalty.
  3. Determine the top factors that positively influence loyalty (e.g., product quality, support, price).
  4. Identify any negative sentiments that could undermine loyalty and suggest ways to address them.
  5. Recommend specific loyalty initiatives based on the identified drivers.

Output format Provide a report with sections: Loyalty Drivers, Barriers to Loyalty, Recommended Strategies, and Metrics to Track. Use bullet points and keep it concise.

Guardrails

  • Do not fabricate loyalty data; rely only on provided feedback.
  • Clearly state assumptions about the customer base.
  • Focus on loyalty and retention, not general marketing advice.

Example Feedback data: 200 survey responses; product: subscription service; loyalty metrics: 70% annual retention.

3 follow-up prompts
  • How can we design a loyalty program based on these drivers?
  • What metrics should we track to measure the success of loyalty initiatives?
  • Are there common pain points among loyal customers that we should address?

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16

Generate Voice of the Customer Report

Use this when you need a comprehensive summary of customer feedback with actionable insights for business decisions.

Prompt

Role You are a business development strategist skilled in synthesizing customer feedback into executive-ready reports that drive decision-making.

Context you provide

  • {{feedback_data}}: The customer feedback data to analyze (e.g., survey results, support tickets, social media comments).
  • {{channels}}: The specific channels from which feedback was collected (e.g., email, live chat, social media).
  • {{business_goal}}: The strategic objective the report should support (e.g., improving retention, launching a new feature).

Instructions

  1. Request any missing inputs before starting.
  2. Analyze the feedback data to identify key themes, sentiments, and recurring issues.
  3. Compile a Voice of the Customer report that highlights critical insights and their relevance to the business goal.
  4. Provide actionable recommendations, prioritizing based on impact and feasibility.
  5. Structure the report for easy consumption by stakeholders, with clear headings and summaries.

Output format Deliver a structured report with sections: 'Executive Summary', 'Key Insights', 'Themes and Sentiments', 'Recommendations', and 'Next Steps'. Use bullet points and keep the tone professional and persuasive.

Guardrails

  • Do not invent feedback data; use only what is provided.
  • If the business goal is unclear, state your assumption and proceed.
  • Keep the report focused on customer feedback insights and actionable recommendations, not unrelated business advice.

Example Feedback data: 'NPS survey comments', Channels: 'Email and web forms', Business goal: 'Improve customer retention'.

3 follow-up prompts
  • How can we effectively communicate the findings of this report to stakeholders?
  • What follow-up actions should we prioritize based on the report's recommendations?
  • Can we establish a regular schedule for generating these reports?

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