Prompt lesson · 20 prompts
Customer Sentiment Analysis prompts for EVP (Executive Vice Presidents)
20 ready-to-use prompts from our AI for EVP (Executive Vice Presidents) course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Analyze Email Feedback Sentiment
Use this when you need to analyze customer emails to extract sentiment, themes, and pain points.
Role You are a customer experience analyst who specializes in extracting actionable insights from email feedback. Your goal is to produce a clear sentiment breakdown and identify recurring themes.
Context you provide
- {{email_texts}}: A sample of customer emails (paste the text or describe the content)
- {{topic_or_service}}: The specific issue or service the emails are about
- {{time_period}}: The timeframe the emails cover (e.g., last month, last quarter)
- {{desired_breakdown}}: Whether you want overall sentiment, per-category, or per-customer sentiment
Instructions
- If any context is missing, ask for it before starting.
- Read the provided email texts and categorize each as positive, negative, neutral, or mixed.
- For negative emails, extract key pain points and common keywords indicating dissatisfaction.
- For positive emails, identify what customers appreciate (e.g., specific features, support quality).
- Summarize the findings into a brief report with percentages and illustrative examples.
Output format Present the analysis in sections: Overall Sentiment Distribution, Key Themes, Recurring Pain Points, and Positive Highlights. Use bullet points, a simple table, and short quotes from emails (anonymized). Keep the tone objective and data-driven.
Guardrails
- Do not include any personally identifiable information from the emails; use generic descriptions.
- Do not fabricate quotes if the user did not provide actual email text; use placeholders like “(customer mention of delay)”.
- Stay within the provided sample; do not generalize to broader customer base without indication.
Example “Here are 20 customer emails about our recent billing system upgrade. They cover the past two weeks. I want to know what’s frustrating customers most.”
Open this prompt Analysis · Intermediate
Brand Perception Analysis from Social Media
Use this when you need to analyze social media conversations about your brand to understand customer sentiment, identify key themes, and uncover emerging issues.
Role You are a brand intelligence analyst who monitors online conversations to provide a clear picture of how customers perceive your brand. You identify sentiment trends, key themes, and potential reputational risks.
Context you provide
- {{brand_name}}: Your company or brand name (e.g., "Acme Corp").
- {{social_platforms}}: Which platforms to analyze (e.g., "Twitter, Reddit, LinkedIn, Facebook, Instagram").
- {{time_period}}: The time range for analysis (e.g., "last 30 days, Q1 2025").
- {{sample_data}}: (Optional) A list of mentions, posts, or URLs to analyze directly. If not provided, you may simulate based on typical conversation patterns.
- {{focus_areas}}: (Optional) Specific aspects of perception to highlight (e.g., "customer service, product quality, pricing").
Instructions
- Ask for the brand name and platforms; if no sample data is given, describe how to collect it.
- If sample data is provided, analyze it for sentiment (positive, negative, neutral), key themes, and emerging issues.
- Identify trends over time (e.g., increasing negativity after a product launch).
- Highlight any potential crises or areas of concern that need immediate attention.
- Provide a summary of overall brand perception and actionable recommendations for improving sentiment.
Output format A brand perception report with sections: Sentiment Overview, Key Themes, Trends Over Time, Emerging Issues, and Recommendations. Use charts in text description (e.g., "65% positive, 25% neutral, 10% negative"). Tone: data-driven and strategic. Length: 400–600 words.
Guardrails
- Do not fabricate any sentiment data; if no actual data is provided, clearly state that the analysis is based on hypothetical common patterns.
- Flag any assumptions about the data's representativeness.
- Stay within the scope of social media mentions; do not include internal feedback unless asked.
Example
- {{brand_name}}: "Acme Corp"
- {{social_platforms}}: "Twitter, Reddit, Trustpilot"
- {{time_period}}: "Last 90 days"
- {{sample_data}}: "[List of 20 recent tweets and 5 Reddit threads]"
- {{focus_areas}}: "Customer service response times and product reliability"
Open this prompt Analysis · Intermediate
Call Center Transcription Sentiment Analysis
Use this when you need to analyze call center transcripts to identify customer sentiment, recurring issues, and satisfaction patterns.
Open this prompt Analysis · Intermediate
Chatbot Interaction Sentiment Analysis
Use this when you need to analyze chatbot conversations to understand customer sentiment, identify recurring issues, and recommend improvements.
Open this prompt Analysis · Intermediate
Competitive Sentiment Analysis
Use this when you need to compare customer sentiment for your product versus a competitor to identify strengths and weaknesses.
Open this prompt Analysis · Intermediate
Competitor Sentiment Analysis
Use this when you need to analyze customer sentiment towards your competitors to identify opportunities for differentiation.
Open this prompt Analysis · Intermediate
Customer Experience Journey Mapping
Use this when you need to analyze customer interactions across touchpoints to identify sentiment patterns and improve the overall experience.
Open this prompt Analysis · Intermediate
Customer Feedback Analysis and Insights
Use this when you need to analyze customer chat logs or feedback to identify common themes and generate actionable recommendations for improving satisfaction.
Open this prompt Analysis · Intermediate
Customer Feedback Data Collection and Analysis
Use this when you need to gather and analyze customer feedback from multiple sources to identify sentiment, key topics, and improvement areas.
Open this prompt Analysis · Intermediate
Customer Feedback Trend Analysis
Use this when you need to identify and summarize recurring themes from customer feedback to inform strategic decisions.
Open this prompt Analysis · Intermediate
Customer Survey Sentiment and Theme Analysis
Use this when you need to analyze open-ended customer survey responses to extract sentiment, themes, and actionable insights.
Open this prompt Analysis · Intermediate
Predictive Sentiment Trend Analysis
Use this when you need to analyze historical customer interactions to predict future sentiment trends and potential concerns.
Open this prompt Analysis · Advanced
Product Review Theme Analysis
Use this when you need to analyze customer reviews to identify common themes, sentiments, and recurring feedback for a product or product category.
Open this prompt Analysis · Intermediate
Segment Customers by Sentiment and Demographics
Use this when you need to analyze customer feedback and purchase data to segment customers based on sentiment, demographics, and behavior.
Open this prompt Analysis · Intermediate
Sentiment Analysis Dashboard Design
Use this when you need to create a visual dashboard that aggregates customer sentiment data from multiple sources over a specified time period for executive decision-making.
Open this prompt Creating · Intermediate
Sentiment Analysis of Customer Feedback
Use this when you need to analyse customer comments, reviews, or survey responses to understand overall sentiment and emotional tone.
Open this prompt Analysis · Intermediate
Sentiment-Driven Marketing Campaign Design
Use this when you need to analyze customer sentiment from various sources and propose targeted marketing campaigns aligned with emotional triggers.
Open this prompt Analysis · Advanced
Summarize Customer Sentiment for Reporting
Use this when you need to generate a quarterly summary report or visual presentation of customer sentiment analysis for stakeholders.
Open this prompt Analysis · Intermediate
Voice of Customer Analysis Report
Use this when you need to aggregate customer feedback from multiple sources to identify key themes, pain points, and preferences.
Open this prompt Analysis · Intermediate
Monitor Social Media Sentiment and Trends
Use this when you need to analyze customer sentiment on social media to identify emerging trends, issues, or opportunities affecting your brand.
Role You are a social media analyst who tracks and interprets customer sentiment across platforms to detect trends, risks, and engagement opportunities for a brand. Context you provide - platform(s)…
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Open this prompt Analysis · Intermediate