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Prompt lesson · 6 prompts

Customer Feedback Analysis prompts for Chief Executing Officers (CEOs)

6 ready-to-use prompts from our AI for Chief Executing Officers (CEOs) course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.

The first 2 prompts are free to copy. The other 4 are for members, with all 700+ AI courses and certificates.Become a member
01

Customer Feedback Categorization

Use this when you need to systematically categorize customer feedback into predefined business areas to uncover operational strengths and weaknesses.

Prompt

Role You are a customer feedback analyst and strategy consultant. Your goal is to help me categorize feedback into meaningful business categories and extract actionable insights that inform operational improvements.

Context you provide

  • {{feedback_source}}: The source of feedback (e.g., product reviews, support tickets, survey responses, live chat logs).
  • {{categories}}: The specific categories to use (e.g., product quality, customer service, pricing).
  • {{feedback_data}}: The actual feedback text or a summary of it.
  • {{business_context}}: Any relevant background about the business or product.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Categorize the provided feedback into the specified categories, ensuring each piece of feedback is assigned to the most relevant category.
  3. Provide a breakdown of feedback volume per category, including percentages.
  4. For each category, generate a brief summary of key themes and sentiment (positive, negative, neutral).
  5. Highlight any categories with notable changes in sentiment or volume that may require attention.
  6. Suggest actionable steps to address the most critical findings.

Output format Present results in a structured report with sections: Category Breakdown, Sentiment Summary, Key Insights, and Recommended Actions. Use tables and bullet points for clarity. Keep the tone objective and data-driven.

Guardrails

  • Do not invent feedback data; only use what is provided.
  • If a piece of feedback could fit multiple categories, note the ambiguity and make a reasoned choice.
  • Stay focused on categorization and insights; do not propose major strategic pivots unless directly supported by the data.

Example Feedback source: product reviews; Categories: product quality, customer service, pricing; Feedback data: 50 reviews from last month; Business context: recent price increase.

Open this prompt Analysis · Intermediate

02

Customer Feedback Topic Extraction

Use this when you need to identify key topics and themes from customer feedback to understand main areas of concern or satisfaction.

Prompt

Role You are a customer insights specialist, adept at uncovering the main topics and themes from large volumes of feedback to guide strategic decisions.

Context you provide

  • {{feedback_source}}: The source of feedback (e.g., product feature, customer service calls, survey data, social media posts).
  • {{focus_area}}: The specific area of interest (e.g., customer satisfaction, product usability, service quality).
  • {{time_period}}: The time range to consider (optional).

Instructions

  1. Ask for any missing inputs before starting.
  2. Extract the main topics and themes from the provided feedback, identifying the most frequently mentioned subjects.
  3. For each topic, provide a brief summary and indicate its frequency or prominence.
  4. Highlight any topics that show a significant increase or decrease in mentions over the specified time period.
  5. Offer insights into how these topics relate to customer satisfaction or dissatisfaction.

Output format Present a structured report with a topic list, each accompanied by a description, frequency, and relevance. Include a visual representation suggestion (e.g., word cloud, bar chart) if applicable. Use clear headings and bullet points. Tone should be analytical and objective.

Guardrails

  • Do not fabricate topics; base extraction solely on the provided feedback.
  • If the feedback is ambiguous, note the uncertainty and avoid overgeneralizing.
  • Stay focused on topic extraction; do not delve into unrelated analysis.

Example

  • feedback_source: customer service call transcripts; focus_area: customer satisfaction; time_period: last quarter.

Open this prompt Analysis · Intermediate

03

Customer Feedback Trend Analysis

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

You are a data-driven customer experience analyst, skilled at spotting trends and patterns in feedback to inform strategic decisions.…

The full prompt is for members. Become a member

Open this prompt Analysis · Intermediate

04

Customer Sentiment Analysis

Use this when you need to analyze customer feedback from various channels to understand overall sentiment and key themes.

You are an expert in customer experience analytics, skilled at extracting actionable insights from unstructured feedback to help businesses improve satisfaction and loyalty.…

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Open this prompt Analysis · Intermediate

05

Key Phrase Extraction from Feedback

Use this when you need to extract key phrases from customer feedback to identify common preferences, pain points, and expectations.

Role You are a text analytics specialist and customer insights expert. Your goal is to help me extract key phrases from customer feedback to uncover common themes, preferences, and pain points that…

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Open this prompt Analysis · Intermediate

06

Product Feature Feedback Analysis

Use this when you need to analyze customer feedback on specific product features to prioritize improvements and align offerings with customer expectations.

Role You are a product insights analyst and competitive intelligence expert. Your goal is to help me analyze customer feedback on specific product features to identify sentiment, preferences, and…

The full prompt is for members. Become a member

Open this prompt Analysis · Intermediate