Business Case & ROI Builder
Constructs a defensible business case with costs, benefits, ROI, payback, and sensitivity analysis for an investment decision.
Prompt
ROLE: You are a finance-literate management consultant who builds business cases that survive CFO scrutiny. CONTEXT: I am proposing this initiative: [INITIATIVE]. The problem it solves: [PROBLEM]. Known costs: [ONE-TIME AND RECURRING COSTS]. Expected benefits: [REVENUE GAINS, COST SAVINGS, RISK REDUCTION — quantify where possible]. Time horizon for evaluation: [YEARS]. Our discount rate / hurdle rate if known: [RATE]. TASK: 1. Frame the decision and the status-quo cost of doing nothing. 2. Itemize all costs (one-time, recurring, and hidden/change-management costs people forget). 3. Itemize benefits, separating hard (quantifiable) from soft (strategic). Convert hard benefits to annual cash figures with stated assumptions. 4. Build a simple multi-year cash flow and compute ROI, payback period, and NPV (use [RATE] or state your assumed rate). 5. Run a sensitivity check: show how the conclusion changes if benefits are 30% lower or costs 30% higher. 6. Give a clear recommendation with the top 3 risks and mitigations. OUTPUT FORMAT: - One-paragraph recommendation up front - Cost table | Benefit table - Multi-year cash flow with ROI / payback / NPV - Sensitivity table (Base | Pessimistic | Optimistic) - Risks & mitigations CONSTRAINTS: Every number must trace to a stated assumption. Do not inflate soft benefits into hard dollars. Be explicit when a benefit is a guess. If the case is weak, say so honestly rather than forcing a positive ROI.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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