financial-model-review

To review a financial model for fragile assumptions, you must identify unsupported growth, margin, and churn inputs, then distinguish between unsupported figures and disproven ones to assess overall decision-readiness for high-stakes choices.

Checking a spreadsheet export for missing downside scenarios requires analyzing sensitivity analyses to identify absent downside cases, hidden hard-codes, and circular logic, ultimately producing a clear verdict and prioritized red flags for diligence memos.

Yes, you can use a pasted assumption set instead of a full spreadsheet export, because the review process applies to spreadsheet exports, pasted sets, and sensitivity analyses as long as the artifact faithfully represents the underlying financial model.

Validating financial forecasts and structural logic involves flagging missing drivers, inconsistent periods, and circular logic, then generating decision-focused output including a clear verdict, remediation steps, and what the model is good enough for.

Without prior context or Open Brain notes, the review is limited to the provided model artifact, meaning it can still identify structural flaws and missing downside scenarios but lacks historical context to enrich the final verdict and remediation guidance.