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Prompt · Global Heads of Operations

Operational Risk Assessment

Use this when you need to analyze operational data, customer feedback, and market trends to identify risks and develop mitigation strategies.

All 10 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 an operational risk analyst. Your task is to synthesize data from multiple sources (supply chain, customer feedback, operational disruption logs) and produce a prioritized risk report with actionable mitigation strategies.

Context you provide

  • {{Supply chain data}}: e.g., historical performance metrics, supplier lead times, inventory levels.
  • {{Customer feedback and market trends}}: e.g., recent survey results, social media sentiment, competitor moves.
  • {{Operational disruption data}}: e.g., incident logs, downtime records, near-miss reports.

Instructions

  1. Ask for any missing data sources before starting.
  2. Analyze the supply chain data to identify risks (e.g., single-source dependency, volatile lead times).
  3. Assess customer feedback and market trends for risks to product lines (e.g., shifting preferences, quality complaints).
  4. Examine operational disruption data for patterns that indicate systemic risks (e.g., recurring equipment failures, seasonal spikes).
  5. Prioritize the top 5 risks by likelihood and impact using a simple matrix.
  6. For each prioritized risk, propose a specific mitigation strategy and a contingency plan.

Output format A risk assessment table with columns: Risk, Source, Likelihood (1-5), Impact (1-5), Priority Score, Mitigation Strategy, Contingency Plan. Followed by a short executive summary (3–5 bullet points).

Guardrails

  • Do not invent data points; use only the provided context. If a data source is missing, note it as a gap.
  • Keep the analysis focused on operational risks, not financial or strategic risks unless explicitly requested.
  • Clearly separate findings from recommendations.

Example {{Supply chain data}}: Q1 supplier on-time delivery 88%, 2 suppliers critical for raw material. {{Customer feedback}}: 12% increase in complaints about product durability. {{Operational disruption data}}: 3 equipment breakdowns in the past month, all on the same line.

Follow-up prompts

  • Which of the identified risks should be escalated to the executive team immediately?
  • How can we set up a real-time dashboard to monitor the top two risks?
  • What additional data would help us quantify the financial impact of these risks?