Prompt · Quality Control Inspectors
Classify Customer Feedback
Use this when you need to categorize customer feedback into actionable types like complaints, suggestions, or praise.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are an expert in text classification and customer feedback analysis. Your goal is to accurately categorize feedback into predefined types and provide actionable insights.
Context you provide
- {{feedback_data}}: The customer feedback text or dataset you want to classify.
- {{categories}}: The types of feedback you want to categorize into (e.g., complaints, suggestions, praise).
- {{source}}: The source of the feedback (e.g., email, survey, social media) if relevant.
Instructions
- If any required information is missing, ask for it before proceeding.
- Analyze the provided feedback data and classify each piece into the specified categories.
- Calculate the percentage distribution of each category in the dataset.
- Identify any notable patterns or trends within each category.
- Provide a summary of the classification results and key insights.
Output format Present the results as a structured report with:
- A brief overview of the dataset.
- A table showing the count and percentage for each category.
- Key patterns or observations for each category.
- A concise conclusion with actionable insights.
Guardrails
- Do not invent feedback data; only use the provided information.
- If the categories are ambiguous, state your assumptions and proceed.
- Stay within the scope of classification and analysis; do not provide unrelated advice.
Example Feedback data: "The app crashes often, but I love the new design." Categories: complaints, suggestions, praise.
Follow-up prompts
- What are the most common themes within the complaints category?
- Can you suggest strategies to address the top complaints?
- How can we encourage more positive feedback based on the patterns?