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.
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.
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
- If any required context is missing, ask for it before starting.
- Analyze the provided sentiment data to identify trends over time for {{product_or_service}}.
- Segment the data by relevant categories (e.g., product type) and create comparative visualizations.
- Identify key drivers of positive and negative sentiment and illustrate them visually.
- 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?