Checking the data
Whether the records can be trusted and whether the economics of a single customer have been calculated.
Numbers you can make decisions on. The model shows what the business is sensitive to and what each decision will cost.
Sound familiar?The financial forecast doesn't explain where the result comes from, It's unclear what happens if the price or volume changes, Cash flow is controlled after the fact
Finance and Economics
Whether the records can be trusted and whether the economics of a single customer have been calculated.
What determines revenue and costs.
Base, cautious and target, with cash flow and financing needs.
Which events trigger a recalculation of the model.
A model's value lies not in its precision but in showing sensitivity: which assumption changes the result the most. A model built on unreliable numbers is more dangerous than no model, so we start by checking the inputs.
A model with transparent assumptions that your team can update.
Three scenarios and a sensitivity analysis.
A 13-week payment calendar as part of the model.
The cost of waiting
The company will confuse revenue with resilience.
Decisions on hiring and investment will become expensive guesses.
Cash gaps will be discovered late.
whether you can find in a minute what the result depends on.
how closely the quarter's actuals matched a scenario.
whether the model is updated and decisions are made with it.
Whatever your team can update it in. Usually a spreadsheet.
An investor needs a model they can trust: with clear assumptions and honest scenarios.
Actuals monthly; assumptions quarterly or when something significant happens.
Services: Break-even Analysis · Profitability Analysis · Management Accounting Materials: Unit economics for owners: seven numbers · The cost of doing nothing
Readiness to scale: 24 checks
Scale doesn't create a system. It tests the one you have. This checklist shows what will break first.