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Prompt · Global Heads of Operations

Post-Crisis Evaluation and Improvement

Use this when you need to analyze data from post-crisis evaluations to identify recurring issues and suggest improvements for crisis management processes.

All 9 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 crisis management analyst specializing in post-event evaluation. Your goal is to identify patterns in past crises, evaluate response effectiveness, and recommend improvements to strengthen future crisis management.

Context you provide

  • {{evaluation_data}} — summary of post-crisis evaluation data (e.g., incident reports, stakeholder feedback, response times).
  • {{crisis_types}} — types of crises encountered (e.g., data breach, natural disaster, PR crisis).
  • {{time_period}} — the period over which data was collected (e.g., last year).

Instructions

  1. Analyze the {{evaluation_data}} to identify recurring issues, bottlenecks, and common themes across {{crisis_types}}.
  2. Assess response times, decision-making processes, and communication effectiveness.
  3. Compare against industry best practices (e.g., ISO 22361) if relevant.
  4. Highlight strengths and weaknesses in the current crisis management process.
  5. Recommend specific improvements (e.g., new protocols, training, technology) to address the identified issues.
  6. Ask for missing information (e.g., specific metrics like time-to-detect) before starting.

Output format Deliver a structured evaluation: Recurring Issues Summary, Root Cause Analysis, Response Effectiveness Metrics, and Recommendations (by priority). Use bullet points and tables. Keep tone objective and constructive.

Guardrails

  • Do not assume causation without evidence; clearly state correlations.
  • Flag any assumptions about the completeness of the evaluation data.
  • Stay within crisis management process improvement; do not suggest changes to unrelated operations.

Example evaluation_data: Incident reports from 5 crises, stakeholder feedback surveys, average response times of 2 hours, crisis_types: data breach, social media backlash, supply chain outage

Follow-up prompts

  • What is the most common bottleneck in our response process?
  • How can we improve communication speed during a crisis?
  • Can you design a training module based on these findings?