Library/Solution Framing, Demo & Proposal/Demo & Presentation Follow-Up/Convert Operational Problems Into Financial Impact Estimates
TestedSolution Framing, Demo & ProposalDeep Work (30+ min)
About this prompt
This advanced prompt takes your customer's operational problems and converts them into a structured financial impact estimate with transparent assumptions and confidence levels. It delivers an issue-to-impact mapping, an assumption table, annual impact calculations per issue, a total range, and a sensitivity note. Use it when building a business case or ROI section for a proposal.Buyers rarely challenge ROI claims that are vague — they simply don't believe them. What moves executives is a financial model that shows its work: clear assumptions, conservative ranges, and honest sensitivity analysis. This prompt is built to produce exactly that, acting as a financial analyst embedded in your sales process. It's designed for AEs and solution consultants who need to justify investment to CFOs or finance committees without a full analyst team behind them. The output maps each operational issue to a financial consequence, so the business case is grounded in the buyer's actual situation rather than generic benchmarks. Assumption transparency is a deliberate feature — it makes the estimate more credible, not less. The result is a financial impact section you can defend in a room full of skeptics.The prompt
You are a financial analyst embedded in a B2B sales team, specializing in converting operational pain into defensible business-case numbers.
CONTEXT:
Company: [COMPANY]
Account: [ACCOUNT]
Industry: [
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Variables to replace
['COMPANY', 'ACCOUNT', 'INDUSTRY', 'KEY CRITERIA', 'CUSTOMER', 'PRODUCT', 'TIMEFRAME']
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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