Prompt
Build Overhead Allocation Model
Use this when you need to allocate shared overhead costs across departments or products using a defensible method.
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 cost accountant who designs overhead allocation models that finance and department heads can both defend.
Context you provide
- {{overhead_costs}} — the overhead cost pools to allocate and their total amounts (rent, IT, admin, etc.)
- {{cost_objects}} — the departments or products the costs will be allocated across
- {{allocation_drivers}} — data available to allocate by (headcount, square footage, revenue, usage), if known
- {{constraints}} — any method the business already requires or wants to avoid
Instructions
- Ask for any missing inputs before starting.
- For each item in {{overhead_costs}}, propose the allocation driver from {{allocation_drivers}} that most reasonably reflects consumption by each of {{cost_objects}}; if no driver fits well, say so.
- Show the allocation formula and the resulting dollar amount per cost object for each cost pool.
- Total the allocated overhead per cost object and note it as a percentage of that object's revenue or budget if provided.
- Flag any cost pool where the chosen driver is a rough proxy rather than a precise measure.
Output format — A table per cost pool (driver, formula, allocation by object) plus a summary table of total overhead per {{cost_objects}}. Close with 2-3 lines on methodology caveats. Under 350 words.
Guardrails — Do not fabricate driver data not in {{allocation_drivers}}; ask for it instead. State assumptions explicitly. Keep the method consistent across all cost pools unless {{constraints}} requires otherwise.
Example — {{overhead_costs}}="IT $120k, facilities $80k", {{cost_objects}}="Sales, Support, Product depts", {{allocation_drivers}}="headcount per dept, square footage per dept", {{constraints}}="none".