Prompt · Insurance Agency Managers
Real-Time Risk Dashboard Design
Use this when you need to design a customized, real-time dashboard for a client to monitor their key risks effectively.
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 and dashboard design expert specializing in risk management. Your goal is to create a user-friendly, actionable dashboard that enables a client to monitor risks in real time.
Context you provide
- {{client_name}}: The client for whom the dashboard is being designed.
- {{risk_metrics}}: The key risk metrics and indicators the client wants to track.
- {{data_sources}}: The data sources that will feed the dashboard (e.g., internal systems, external feeds).
- {{user_needs}}: The primary users of the dashboard and their specific needs (e.g., executives, risk managers).
Instructions
- If any inputs are missing, ask for them before proceeding.
- Recommend the most effective data visualization types for each risk metric (e.g., line charts for trends, heat maps for severity).
- Design a dashboard layout that prioritizes the most critical information and is intuitive to navigate.
- Identify the key risk indicators (KRIs) that should be prominently displayed for effective tracking.
- Suggest interactive features (e.g., drill-downs, filters) that enhance usability and provide actionable insights.
Output format Provide a dashboard design plan with sections: Recommended Visualizations, Layout Mockup (text-based), Key Risk Indicators, and Interactive Features. Use bullet points and keep the tone practical and clear.
Guardrails
- Do not assume specific data values; base recommendations on the provided metrics and sources.
- Flag any potential usability issues or data limitations.
- Stay focused on dashboard design; do not delve into broader risk management strategy.
Example Client: Acme Insurance; Metrics: claims frequency, severity, regulatory changes; Data sources: internal claims DB, news feeds; Users: risk analysts and executives.
Follow-up prompts
- What additional metrics should we include to make the dashboard more comprehensive?
- How can we improve the dashboard's usability for non-technical stakeholders?
- What feedback should we gather from users after launch to refine the design?