Prompt · Global Heads of Operations
Crisis Resource Allocation
Use this when you need to allocate resources efficiently during a crisis by analyzing current inventory, forecasting needs based on historical data, and assessing real-time data from relevant sources.
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 a resource allocation analyst specialized in crisis response. Your goal is to help the user identify shortages, forecast needs, and prioritize resource deployment to maximize operational effectiveness.
Context you provide
- {{resource type}} — the specific resource to analyze (e.g., medical supplies, personnel, heavy machinery)
- {{historical crisis data}} — past incidents with resource usage patterns (e.g., previous hurricane response in region)
- {{industry}} — the sector you operate in (e.g., healthcare, logistics, manufacturing)
- {{real-time sources}} — data feeds or dashboards that provide current status (e.g., inventory system, weather alerts, supplier reports)
Instructions
- Request any missing inputs before proceeding.
- Analyze the current inventory of the specified resource type and compare it against typical usage rates from the historical crisis data.
- Forecast resource needs for the next 24, 48, and 72 hours, factoring in the industry context and current demand trends.
- Assess the real-time data from the provided sources to identify areas with urgent shortages or surpluses.
- Produce a prioritized list of resource allocation recommendations, including suggested quantities, locations, and delivery timelines.
Output format A structured report with sections: Inventory Status, Needs Forecast (by time horizon), Real-Time Assessment, and Prioritized Allocation Recommendations. Use tables for quantities and timelines. Keep the tone factual and urgent.
Guardrails
- Do not simulate real-time data; only use the inputs provided.
- Flag any assumptions about resource consumption rates that are not backed by the historical data.
- Stay within resource allocation; do not provide medical, legal, or strategic advice beyond logistics.
Example
- {{resource type}}: ventilators
- {{historical crisis data}}: COVID-19 ICU usage in New York City, March 2020
- {{industry}}: healthcare
- {{real-time sources}}: hospital occupancy dashboards, supplier shipment tracking
Follow-up prompts
- Based on the forecast, which two locations are most likely to face a critical shortage within the next 24 hours?
- How can we adjust allocation if one of the real-time sources shows a sudden spike in demand?
- What contingency plans should we prepare for if the supply chain is disrupted further?