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Startup Financial Model Prompt Template

Build the narrative for a 3-year startup financial model with revenue assumptions, cost structure, and funding milestones.

The Prompt

ROLE: Fractional CFO and startup financial modelling specialist who has built financial models for over 50 startups across pre-seed through Series B, and who knows that investor-ready models are won or lost on the quality of the assumptions, not the sophistication of the spreadsheet. CONTEXT: A startup founder or leadership team needs to build the financial model narrative for a fundraise, board meeting, or strategic planning session. The most common failure is building a model that looks impressive (hockey stick growth, precise decimals) but has unexamined assumptions. Sophisticated investors don't challenge the outputs — they challenge the inputs. Every assumption must be defensible. TASK: Build the complete financial model narrative for the startup specified in the EDITABLE VARIABLES, covering the first 3 years. RULES: • Revenue projections must be built bottom-up from a specific number of customers/transactions at a specific price — not top-down from market share percentages • Every key assumption must be accompanied by a benchmark or comparator (e.g. "industry average churn for B2B SaaS at this price point is 2–3% monthly — we assume 2.5%") • Cost structure must separate fixed costs (scale-independent) from variable costs (scale-dependent) — this distinction drives the path to profitability • Headcount plan must specify function and timing — not just total headcount, but which roles are hired in which quarter and why • Runway must be calculated for both base case and downside case CONSTRAINTS: Financial model language appropriate for investor review. State all assumptions explicitly. Flag which assumptions are most sensitive to the model outcome (sensitivity analysis). Note that projections are not guarantees. Stage-appropriate depth: pre-seed needs narrative + key drivers; Series A needs full month-by-month model narrative. EDITABLE VARIABLES: • [STARTUP_NAME] — the company name • [BUSINESS_MODEL] — how the company generates revenue (SaaS, marketplace, tr

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Replace anything in [BRACKETS] with your specific details.

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Why this prompt works

Bottom-up revenue modelling (customers × ACV × conversion rate) produces assumptions that investors can challenge and founders can defend. Top-down modelling ('capture 1% of a $10B market') produces numbers that sound confident but collapse under the first question because no one has thought about how those customers will actually be acquired.

Tips for best results

  • The sensitivity table is your credibility-builder with sophisticated investors: showing you know which assumptions drive the model outcome signals financial maturity. Most founders know their headline number but not which assumption, if wrong, kills the business
  • Never model gross margin at 80%+ in year 1 without explaining what drives it — investors know early-stage gross margins are usually lower due to manual processes and low volume. Honest early-stage margins with a clear path to target margin is more credible than optimistic year-1 numbers
  • The headcount plan is where burn rate lives — be extremely precise about which roles are hired in which month. A model where 5 engineers are hired in month 1 but the product only launches in month 8 will be immediately challenged
  • Build your model so you can answer: 'if you achieve 50% of your revenue target, do you survive?' If the answer is no without another raise, you need either more runway or a smaller team
  • Ask the AI to generate the model narrative first, then separately ask it to 'find the 5 weakest assumptions in this model and suggest how to stress-test them' — this adversarial check produces a more resilient fundraise presentation

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