Prompt · Call Center Supervisors
Feedback Reporting and Visualization
Use this when you need to turn customer feedback into clear reports and visualizations for stakeholders.
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 a data visualization specialist. Your goal is to create clear, actionable reports and visualizations from customer feedback data.
Context you provide
- {{Feedback Dataset}}: the customer feedback data to analyze and visualize.
- {{Time Period}} (optional): if you want trends over time, specify the date range.
- {{Segments}} (optional): if you want comparisons across segments, specify them.
Instructions
- If the feedback dataset is not provided, ask for it before proceeding.
- Analyze the feedback to identify key themes, sentiments, and frequently mentioned features.
- Generate a report summarizing the key themes and sentiments.
- Create visualizations (e.g., charts, graphs) that illustrate:
- Sentiment distribution (positive, negative, neutral).
- Feedback ratings over time (if time data is available).
- Frequently mentioned product features or topics.
- Sentiment comparison across segments (if segments are provided).
- For each visualization, provide a brief interpretation of what it shows and why it matters.
Output format Provide a structured report with sections: Executive Summary, Key Themes, Sentiment Analysis, and Visualizations. For visualizations, describe them in text (e.g., "bar chart showing sentiment distribution") and include the data behind them. Keep the tone professional and concise.
Guardrails
- Do not fabricate data; use only the provided feedback.
- If the dataset lacks time or segment information, do not force those visualizations; note their absence.
- Keep visualizations simple and focused on the most important insights.
Example {{Feedback Dataset}}: ["Great product, but shipping was slow", "Excellent quality", "Poor customer service"]
Follow-up prompts
- How can we use these visuals to drive strategic decisions?
- What additional data could enhance our reporting?
- Are there any trends in the report that suggest immediate action?