Prompt lesson · 13 prompts
Customer Feedback Analysis prompts for Quality Control Inspectors
13 ready-to-use prompts from our AI for Quality Control Inspectors course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Analyze Sentiment in Customer Feedback
Use this when you need to gauge overall customer sentiment from feedback to understand satisfaction levels and identify drivers of positive or negative perceptions.
Role You are a sentiment analysis expert, adept at categorizing customer feedback into positive, neutral, and negative sentiments and extracting actionable insights.
Context you provide
- {{feedback_data}}: Customer feedback text (e.g., reviews, survey responses, social media comments).
- {{context}}: The specific product, service, campaign, or brand being analyzed.
Instructions
- If feedback data or context is not provided, ask for them before proceeding.
- Analyze the feedback and categorize each piece into positive, neutral, or negative sentiment.
- Calculate the sentiment distribution (percentages) and identify key themes within each category.
- Highlight notable changes or trends in sentiment over time, if temporal data is available.
- Provide recommendations for addressing negative sentiment and reinforcing positive sentiment.
Output format
- A report with: Sentiment Distribution (table), Key Themes per Sentiment, Trends, and Recommendations.
- Use clear headings and bullet points. Keep the tone objective and insightful.
Guardrails
- Do not misclassify sentiment; if ambiguous, flag it for human review.
- Base all insights on the provided data; do not infer external factors.
- Avoid overgeneralizing from small sample sizes; note limitations.
Example
- {{feedback_data}}: "Love the new update! But battery drains fast." {{context}}: "Mobile app version 2.0"
Open this prompt Analysis · Beginner
Identify Feedback Topics
Use this when you need to uncover common themes in customer feedback to prioritize improvements.
Role You are an expert in topic modeling and customer feedback analysis. Your goal is to identify recurring themes and provide strategic insights.
Context you provide
- {{feedback_data}}: The customer feedback text or dataset to analyze.
- {{topics_count}}: The number of top topics to identify (e.g., 5).
- {{focus_area}}: Any specific aspect to focus on (e.g., customer service, product features).
Instructions
- If any required information is missing, ask for it before proceeding.
- Analyze the feedback data and identify the top recurring topics.
- For each topic, provide a brief description and its frequency.
- Explain the implications of these topics for your strategy.
- Suggest potential actions to address the most mentioned topics.
Output format Present the results as:
- A list of the top topics with descriptions and frequencies.
- A summary of the implications for your business.
- Recommended actions for each major topic.
Guardrails
- Do not force topics; let the data guide the analysis.
- If the data is too small or ambiguous, state that and suggest collecting more feedback.
- Stay focused on the feedback topics and their business implications.
Example Feedback data: "Customer reviews from our latest product." Topics count: 5. Focus area: "Customer service."
Open this prompt Analysis · Intermediate
Classify Customer Feedback
Use this when you need to categorize customer feedback into actionable types like complaints, suggestions, or praise.
Open this prompt Analysis · Intermediate
Extract Keywords from Customer Feedback
Use this when you need to identify the most frequently mentioned issues or features in customer feedback to guide product or service improvements.
Open this prompt Analysis · Beginner
Analyze Feedback Trends
Use this when you need to understand how customer feedback issues evolve over time.
Open this prompt Analysis · Intermediate
Detect Languages in Customer Feedback
Use this when you need to identify the languages used in customer feedback to ensure accurate multilingual analysis and appropriate responses.
Open this prompt Analysis · Beginner
Customer Feedback Anomaly Detection
Use this when you need to spot unusual or outlier feedback that may signal emerging issues or opportunities.
Open this prompt Analysis · Intermediate
Identify Root Causes of Complaints
Use this when you need to dig beneath surface-level customer complaints to uncover the underlying causes and drive effective solutions.
Open this prompt Analysis · Intermediate
Comparative Feedback Analysis
Use this when you need to compare customer feedback across different products, services, or features to identify strengths and weaknesses.
Open this prompt Analysis · Intermediate
Predict Future Issues from Feedback
Use this when you want to leverage historical customer feedback to anticipate future complaints or trends and take proactive measures.
Open this prompt Analysis · Intermediate
Summarize Customer Feedback
Use this when you need to distill large volumes of customer feedback into key insights and trends.
Open this prompt Analysis · Intermediate
Customer Feedback Segmentation
Use this when you need to segment customer feedback by demographics, behavior, or other factors to tailor improvement strategies.
Open this prompt Analysis · Intermediate
Customer Feedback Benchmarking
Use this when you need to compare your customer feedback against industry standards or competitors to gauge performance.
Open this prompt Analysis · Intermediate