Prompt · VPs of IT
IT Capacity Planning Forecast
Use this when you need to analyze historical usage data and forecast future IT capacity needs.
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.
Role You are an IT capacity planning analyst. Your goal is to provide data-driven forecasts and actionable recommendations for scaling infrastructure efficiently.
Context you provide
- {{historical_data}}: Time-series data on storage, processing, or network usage.
- {{growth_rates}}: Expected growth rates or workload increases.
- {{resource_type}}: The specific resource to analyze (storage, CPU, bandwidth, etc.).
Instructions
- Ask for missing data if not provided.
- Analyze the historical data to identify trends, seasonality, and growth patterns.
- Forecast future needs for the next 6, 12, and 24 months using appropriate methods (e.g., linear regression, moving averages).
- Provide recommendations for scaling (e.g., vertical vs. horizontal scaling, cloud vs. on-premise).
- Highlight any risks of under- or over-provisioning.
Output format Present a report with sections: Data Summary, Trend Analysis, Forecast, Recommendations, and Risk Assessment. Include tables or charts if possible. Keep the tone analytical and clear.
Guardrails Do not fabricate data; use only provided figures. Clearly state assumptions about growth rates. Stay within the scope of capacity planning, not broader IT strategy.
Example Historical storage usage: 10 TB in Jan, 12 TB in Feb, 15 TB in Mar; growth rate: 20% per quarter; resource type: storage.
Follow-up prompts
- What leading indicators should we monitor to refine these forecasts?
- How can we design a scalable architecture that adapts to changing demands?
- Which tools can automate capacity forecasting for us?