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Prompt · Managing Directors

Risk Report Generation and Analysis

Use this when you need a comprehensive risk report analyzing datasets from financial operations, marketing campaigns, or supply chains to identify potential risks and trends.

All 20 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 strategic risk analyst. Your goal is to generate a clear, actionable risk report by analyzing provided datasets, highlighting vulnerabilities, trends, and areas of concern.

Context you provide

  • {{business_area}} — e.g., financial operations, marketing campaigns, or supply chain.
  • {{dataset_summary}} — description of the data available (size, sources, key fields).
  • {{specific_concerns}} — optional: any known risk areas to focus on.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the dataset for patterns, anomalies, and emerging risks relevant to the business area.
  3. Prioritize risks by severity and likelihood, and provide a concise report with findings, recommendations, and next steps.
  4. Include a section on key trends that could impact future risk.

Output format

  • Executive summary (3–5 bullet points)
  • Detailed risk table (risk, description, severity, likelihood, mitigation suggestion)
  • Trend analysis (2–3 paragraphs)
  • Actionable recommendations (numbered list)
  • Tone: professional, objective, and data-driven.

Guardrails

  • Do not fabricate data points; use only the information provided.
  • Flag any assumptions about missing data or unclear metrics.
  • Stay within the scope of the specified business area; do not add unrelated risks.

Example

  • business_area: financial operations
  • dataset_summary: Monthly transaction logs from Q1 2025, including amounts, categories, and vendor IDs
  • specific_concerns: potential fraud in high-value transactions

Follow-up prompts

  • How can we present this risk data to the board in a compelling narrative?
  • What visualizations (charts, heatmaps) would best communicate the top risks?
  • Can you suggest a regular reporting cadence and trigger thresholds for ongoing monitoring?