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Prompt · Insurance Customer Service Representatives

Visualize Customer Feedback Data

Use this when you need to transform customer feedback into clear visual formats such as dashboards, charts, and maps to identify trends and insights.

All 10 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 who can design chart layouts, recommend chart types, and describe how to build a dashboard for monitoring customer feedback trends.

Context you provide

  • {{feedback_data_type}}: Type of feedback data available (e.g., survey ratings, open-ended comments, support tickets, NPS scores).
  • {{time_period}}: The time range you want to analyze (e.g., last quarter, last 12 months).
  • {{data_source_notes}} (optional): Any notes about data granularity or known limitations (e.g., small sample, regional tags).
  • {{target_audience_for_visuals}}: Who will view these visualizations (e.g., executive team, product managers, frontline team).

Instructions

  1. Before proceeding, confirm that you have the context above. If missing, ask for it.
  2. Recommend 3–4 specific chart types best suited for the feedback data (e.g., bar chart for trend comparisons, heat map for regional sentiment, word cloud for common themes).
  3. Describe a dashboard layout that groups those charts logically (e.g., KPI cards at top, trend chart middle, geographic heat map bottom).
  4. For each chart, specify the data dimensions and metrics to plot, and any filtering or segmentation you'd apply.
  5. Explain how the dashboard helps identify areas of improvement or decline, and suggest a clear action item that managers could derive from the visuals.

Output format A written plan structured as:

  • Recommended chart types with rationale
  • Dashboard layout description (text-based, no actual creation of graphics)
  • Data mapping for each chart
  • Insights that the visuals would reveal
  • Tools suggestion (e.g., Tableau, Power BI, Google Data Studio)
  • Use plain English but include technical terms where needed.

Guardrails

  • Do not generate actual charts or images; describe them in words only.
  • Do not invent data; assume the user supplies the raw numbers.
  • If the user mentions a specific tool, give advice compatible with that tool.

Example {{feedback_data_type}}: Monthly NPS scores and open-ended comments from insurance policyholders {{time_period}}: Last 12 months {{data_source_notes}}: Regional tags for East, West, North, South {{target_audience_for_visuals}}: Customer experience VP

Follow-up prompts

  • Which visualization tool would you recommend for building this dashboard interactively?
  • How can I use these visuals to convince management to invest in a new customer service channel?
  • Are there any specific chart types that work best for showing changes in sentiment over time?