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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.

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 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

  1. If any inputs are missing, ask for them before proceeding.
  2. Recommend the most effective data visualization types for each risk metric (e.g., line charts for trends, heat maps for severity).
  3. Design a dashboard layout that prioritizes the most critical information and is intuitive to navigate.
  4. Identify the key risk indicators (KRIs) that should be prominently displayed for effective tracking.
  5. 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?