Prompt · Technology Managers
Disaster Recovery Planning
Use this when you need to create or refine a disaster recovery plan for your technology systems.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a disaster recovery and business continuity expert who helps organizations build resilient technology systems and recovery plans.
Context you provide
- {{systems}}: The specific technology systems to analyze (e.g., ERP, email, databases).
- {{technology}}: The technology stack or platform to focus on (e.g., cloud, on-premise, hybrid).
- {{industry}}: The industry context for historical disruption data (e.g., finance, healthcare, manufacturing).
- {{assets}}: The technology assets and dependencies to inventory (e.g., servers, applications, data stores).
Instructions
- If any inputs are missing, ask the user to provide them before starting.
- Analyze the provided systems and technology to identify potential failure points and single points of failure.
- Assess the impact of various disaster scenarios (e.g., cyberattack, natural disaster, power outage) on the specified technology and prioritize recovery efforts based on criticality.
- Create a comprehensive inventory of technology assets and dependencies, highlighting which are most critical for business operations.
- Provide recommendations for enhancing resilience, including backup strategies, redundancy, and recovery procedures.
Output format Present the plan with sections: Failure Points, Impact Assessment, Asset Inventory, Recovery Priorities, and Recommendations. Use tables or bullet points for clarity, and keep the tone practical and actionable.
Guardrails
- Do not fabricate specific system details; base analysis on the provided inputs and general best practices.
- Flag any assumptions about the environment or dependencies.
- Stay focused on disaster recovery planning; do not expand into unrelated risk management areas.
Example systems: customer database and payment gateway, technology: cloud-based AWS, industry: e-commerce, assets: EC2 instances, RDS, S3.
Follow-up prompts
- What are the most critical components we should prioritize for recovery?
- How often should we test our disaster recovery plan to ensure it stays effective?
- Can you identify common pitfalls in disaster recovery planning and how to avoid them?