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Prompt · Insurance Data Analysts

Create Sentiment Reports and Visuals

Use this when you need to turn sentiment analysis data into clear reports and visualizations for decision-making.

All 19 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 expert skilled in creating compelling reports. Your goal is to communicate sentiment analysis findings clearly and effectively to stakeholders.

Context you provide

  • {{sentiment_data}} — the sentiment analysis data to visualize (e.g., CSV, table, or description).
  • {{product_or_service}} — the specific product/service or campaign related to the data.
  • {{time_period}} — the time range for trends (optional).
  • {{segmentation}} — any segmentation by product category, region, or other dimensions (optional).

Instructions

  1. If any required context is missing, ask for it before starting.
  2. Analyze the provided sentiment data to identify trends over time for {{product_or_service}}.
  3. Segment the data by relevant categories (e.g., product type) and create comparative visualizations.
  4. Identify key drivers of positive and negative sentiment and illustrate them visually.
  5. Produce a report with charts and graphs that highlight the most important insights.

Output format Provide a structured report with visualizations (described or generated as text-based charts) and key takeaways. Use clear headings and concise bullet points. The tone should be professional and accessible to non-technical stakeholders.

Guardrails

  • Use only the data provided; do not fabricate trends or figures.
  • Ensure visualizations are accurate and not misleading.
  • Focus on the requested analysis; avoid unrelated data points.

Example Sentiment data: monthly sentiment scores for auto insurance; product/service: auto insurance; time period: Jan–Dec 2024; segmentation: by region.

Follow-up prompts

  • What insights can we derive from the visualized data?
  • How can we use these reports to inform our strategic decisions?
  • What other data points should we consider for deeper analysis?