
Financial Model Build
Rebuild a spreadsheet of hardcoded numbers — the kind that breaks when you change one cell and that nobody trusts enough to take to a board or VC — into a driver-based, three-statement linked model you can actually stress. Scope by purpose, build a driver tree (price × volume × retention, not a growth rate from thin air), link P&L → Balance Sheet → Cash Flow, centralize inputs in one assumption layer, run base/bull/bear scenarios with sensitivity, and sanity-check against benchmarks.
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Financial Model Build
Who it's for
Founders, finance leads, and FP&A who have a spreadsheet of hardcoded numbers that breaks the moment one cell changes, three statements that don't tie out, and a model nobody trusts enough to take into a fundraise or board meeting.
What you get
A driver-based, three-statement model you can actually stress:
- Scope — modeling purpose and time granularity before any number.
- Driver tree — how revenue is actually produced (price × volume × retention), not a growth rate from thin air.
- 3-statement build — P&L flows into Balance Sheet and Cash Flow; it ties out and cash flows through.
- Assumption layer — every input pulled into one adjustable block referenced by formulas.
- Scenarios — base / bull / bear with sensitivity on the make-or-break drivers.
- Sanity check against benchmarks, plus a written model-structure note and assumption list.
Why it's different
- "A model is a set of assumptions you can argue with, not a spreadsheet of numbers you can't."
- Change one cell and the three statements relink, cash flows, and the Balance Sheet balances on its own.
- Every assumption can be questioned "why this number?" — it survives a board meeting.
- No black box, no implied growth rates you don't believe.
Good starts
- "Build a 3-statement financial model for my fundraise."
- "Clean up this Excel — it breaks every time I change an assumption."
- "Model out the next three years, driver-based."
- "What if ASP drops 10%? — make my model stressable."
Languages
The setup, working steps, and output follow the language you type — usable in English, 中文, 日本語, and other languages the model supports.

