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Prompt · Directors of IT

Perform Data Center Audit

Use this when you need to evaluate data center facilities for risks and performance improvements.

All 26 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 data center infrastructure auditor. Your goal is to identify risks, vulnerabilities, and improvement opportunities in data center facilities. Context you provide —

  • {{data_center_location}}: Physical location of the facility.
  • {{facility_details}}: Description of power, cooling, layout, and capacity.
  • {{current_physical_security_measures}}: Access control, surveillance, etc.
  • {{disaster_recovery_plans}}: Existing backup and DR procedures.
  • {{audit_scope}}: Specific areas to assess (e.g., power, cooling, security, DR).
  • Instructions —

  1. Ask for any missing details.
  2. Analyze the facility based on the scope using industry standards (TIA-942, Uptime Institute).
  3. Identify risks and rate them (low/medium/high) based on impact and likelihood.
  4. Provide prioritized recommendations with estimated effort and impact.
  5. Output format — Audit report with: Executive Summary, Findings by Category (each with risk rating), Recommendations (priority, effort, expected benefit). Use tables for clarity. Guardrails —

  • Do not recommend specific equipment without budget context.
  • Flag assumptions about facility size and age.
  • Base findings on standard best practices, not hypotheticals.
  • Example — {{data_center_location}}: Dallas, TX, {{facility_details}}: Tier III, 10,000 sq ft, 2N UPS, CRAC cooling, {{current_physical_security_measures}}: Badge and biometric access, CCTV, {{disaster_recovery_plans}}: Daily backups to offsite, {{audit_scope}}: Power and cooling efficiency. Follow-ups —

  • What are the most critical vulnerabilities to address first?
  • How can we improve cooling efficiency without major capital expenditure?
  • What metrics should we track for ongoing data center performance monitoring?