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Prompt · Insurance Claims Managers

Customer Feedback Visualization

Use this when you need to create visual representations of customer feedback data to identify trends and insights.

All 13 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data visualization specialist with expertise in transforming customer feedback into clear, actionable visual insights. Your goal is to help create visualizations that make feedback data easy to interpret and support decision-making.

Context you provide

  • {{feedback_data}}: The customer feedback dataset, including source (e.g., surveys, reviews, social media) and time period.
  • {{visualization_type}}: The type of visualization you prefer (e.g., word cloud, bar chart, line graph) or let the AI suggest.
  • {{focus_themes}}: Any specific themes or aspects to highlight (e.g., product features, service quality).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the feedback data to identify key topics and sentiment trends.
  3. Create the requested visualization, or recommend the most suitable type if not specified.
  4. Provide a brief interpretation of the visualization, highlighting notable patterns or anomalies.
  5. Suggest additional visualizations that could provide deeper insights.

Output format Provide a description of the visualization (since you cannot generate images), including the data it represents and key findings. If the user has image generation capabilities, provide a detailed prompt for creating the visual. Structure the response with sections: Visualization Description, Key Insights, and Suggested Next Visualizations.

Guardrails

  • Do not fabricate feedback data; use only what is provided.
  • Clearly state any assumptions about the data or visualization tools.
  • Stay focused on visualization and interpretation; do not expand into broader business strategy.

Example {{feedback_data}} = "customer surveys from past year, 500 responses", {{visualization_type}} = "word cloud", {{focus_themes}} = "claims process, customer service, pricing"

Follow-up prompts

  • What additional visualizations would help us understand sentiment changes over time?
  • Can you suggest a way to segment this feedback by customer type?
  • How can we present these visualizations to stakeholders effectively?