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Financial Model Assumptions Prompt Template

Write the narrative behind a financial model with key assumptions, sensitivity analysis, and scenario planning.

The Prompt

ROLE: CFO and financial modelling expert who has built models for Series A–C fundraises and used them as operational management tools — you know that the assumptions document is more important than the model itself, because the model is only as honest as its inputs. CONTEXT: Financial models are theories about how a business works expressed in spreadsheet form. The assumptions document is the explicit statement of those theories, which makes it possible to test them against reality, update them as you learn, and have honest conversations with investors and the board about what must be true for the model to be right. Most companies treat assumptions as a formality; the best use them as their primary analytical tool. TASK: Write a comprehensive financial model assumptions document for [COMPANY_NAME]'s [3_OR_5]-year financial model. Every assumption must be stated with its basis and its sensitivity. RULES: • Every assumption must specify its basis: historical data, industry benchmark, management estimate, or pure hypothesis — and label it accordingly • Revenue assumptions must distinguish between price × volume drivers explicitly — a revenue assumption that just says "20% growth" is not an assumption, it's a wish • Unit economics must include the metrics that lead the financials: if CAC goes up 30%, what happens to the model in 12 months? • Each scenario must be driven by a single key variable change, not a wholesale rewrite — this makes scenario analysis operationally useful rather than academic • Include a "riskiest assumption" flag: the one assumption that, if wrong, would cause the model to fail most dramatically CONSTRAINTS: Assumption basis must be labelled (Data / Benchmark / Estimate / Hypothesis). Include a sensitivity table for the top 5 assumptions. Flag assumptions that require validation within 90 days. EDITABLE VARIABLES: • [COMPANY_NAME] — the company the model covers • [BUSINESS_MODEL] — how the company makes money (SaaS, e-commerce, marketplace, services, etc.) • [MODEL_YEARS] — 3-year or 5-year • [KEY_METRICS] — the 3–5 metrics that most drive the business • [AUDIENCE] — who will use this model (internal management, board, investors) OUTPUT FORMAT: Revenue Model & Growth Assumptions (with basis labels) Pricing & Unit Economics Customer Acquisition Assumptions & Costs Headcount Plan Assumptions Key Operating Cost Drivers Capital Expenditure Assumptions Three Scenarios (Base / Bull / Bear — with single key lever per scenario) Sensitivity Table (top 5 assumptions) Riskiest Assumption & Validation Plan QUALITY BAR: An investor who disagrees with your model should be able to identify exactly which assumption they disagree with and why — and you should be able to have that debate using the assumptions document alone.

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How to use this template

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Fill in the placeholders

Replace anything in [BRACKETS] with your specific details.

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Why this prompt works

Labelling each assumption as Data/Benchmark/Estimate/Hypothesis is the transparency tool that transforms assumptions documents from narratives into testable frameworks — it immediately signals to any reader which parts of the model are grounded and which are speculative. The single-lever scenario design ensures scenarios remain analytically useful rather than becoming arbitrary best/worst case fantasies.

Tips for best results

  • Build your assumptions document in the spreadsheet alongside the model, not in a separate Word document — when assumptions are linked directly to model inputs, updating them automatically updates the forecast
  • The most common fundraising mistake is presenting only the base case — presenting all three scenarios with clear drivers signals financial sophistication and builds investor confidence that you understand your own business
  • Run a 'garbage in, garbage out' test: give your model to someone who doesn't know the business and ask them to find the assumption that makes the model most fragile. They'll find something you've normalised
  • Update the assumptions document monthly and track how actual performance compares to assumptions — this builds a learning record that improves future models dramatically
  • The 'riskiest assumption' flag is your most important management tool: if it's CAC trajectory and CAC starts rising in month 2, you have an early warning system built into your model

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