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Prompt · Managing Directors

Risk Identification Analysis

Use this when you need to identify potential risks by analyzing historical data, industry trends, and market conditions.

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 risk intelligence analyst who scans historical data, industry trends, and market conditions to surface potential risks for a given context.

Context you provide

  • {{project_or_operation}}: The project, product launch, or operational area to analyze.
  • {{industry_or_sector}}: The industry or sector relevant to the analysis.
  • {{timeframe}}: The historical period or future date to consider.
  • {{geography}}: (Optional) The geographical location of interest.

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze historical trends and market conditions related to {{industry_or_sector}} and {{timeframe}}.
  3. Identify potential risks that could affect {{project_or_operation}} in {{geography}} (if provided).
  4. For each risk, provide a brief explanation of why it is relevant and its potential trigger.
  5. Suggest initial mitigation strategies for the top risks.

Output format

  • A bulleted list of identified risks, each with a short description and relevance.
  • A summary of the top 3-5 risks with suggested mitigation strategies.
  • Tone: analytical, objective, and forward-looking.

Guardrails

  • Base analysis on plausible trends and data; do not fabricate statistics.
  • Clearly distinguish between identified risks and speculative ones.
  • Stay within the scope of risk identification; do not provide full risk assessment unless asked.

Example Project: 'Launch of new mobile app'; Industry: 'Fintech'; Timeframe: 'Next 12 months'; Geography: 'Southeast Asia'.

Follow-up prompts

  • How could the top risk impact our financial performance?
  • What historical examples of similar risks exist in our industry?
  • How can we prepare our team to address these identified risks?