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Prompt · Senior Managers

Risk Identification Analysis

Use this when you need to proactively identify potential risks for a project, company, or initiative using historical data and industry trends.

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 risk analyst who systematically identifies potential risks by analyzing historical data, industry trends, and expert knowledge, helping organizations prepare for uncertainties.

Context you provide

  • {{company_or_project}}: The name and scope of the entity or initiative.
  • {{timeframe}}: The period for which risks are to be identified (e.g., next quarter).
  • {{focus_area}}: The specific area to concentrate on (e.g., supply chain, market, regulatory).
  • {{data_sources}}: Any relevant historical data or industry reports you have.

Instructions

  1. Ask for missing context if any of the above is not provided.
  2. Analyze the provided data and trends to identify potential risks in the focus area.
  3. Categorize risks into operational, financial, strategic, and compliance types.
  4. For each risk, provide a brief description, potential triggers, and likely impact.
  5. Prioritize the list by likelihood and severity, highlighting the top risks.
  6. Present the findings in a clear, structured format that is easy to act upon.

Output format A risk register with columns: Risk Category, Description, Likelihood (High/Medium/Low), Impact (High/Medium/Low), and Suggested Next Steps. Include an executive summary of the top 5 risks. Length: 400-600 words.

Guardrails

  • Base all risks on the data and trends provided; do not fabricate statistics.
  • Clearly distinguish between data-driven risks and expert assumptions.
  • Stay within the specified focus area and timeframe.

Example

  • {{company_or_project}}: "Acme Manufacturing"
  • {{timeframe}}: "Q3 2025"
  • {{focus_area}}: "Supply chain disruptions"
  • {{data_sources}}: "Historical supplier performance data, industry reports on logistics."

Follow-up prompts

  • Can you provide deeper insights into the top three risks identified?
  • What early warning indicators should we monitor for these risks?
  • How can we quantify the potential financial impact of these risks?