A feasibility assessment answers a single question before money is committed: on the assumptions available today, does this stand up financially? It is not a judgement about whether the idea is good. It is arithmetic about whether the numbers can work, and under what conditions they stop working.
Separate the idea from the assumptions
Most feasibility work is really assumption work. Price, volume, fixed costs, variable costs, upfront investment, financing terms and timing each carry an assumption. Writing them down explicitly — an assumption ledger — is what makes the result reviewable later.
The core measures
- Contribution per unit. Price minus variable cost. What each sale contributes towards fixed costs.
- Break-even. Fixed costs divided by contribution per unit: the volume at which the venture stops losing money.
- Upfront investment and payback. What must be spent before anything returns, and how long recovery takes.
- Runway. How long available cash covers costs if revenue arrives more slowly than assumed.
A worked example
A small service business expects to charge €60 per unit with €22 of variable cost, giving €38 contribution. Fixed monthly costs are €4,560, so break-even is 120 units a month. If the realistic capacity is 100 units, the venture does not break even on these assumptions — before discussing marketing, effort or ambition. Raising the price to €70 moves break-even to 95 units; cutting fixed costs to €3,800 moves it to 100. Those are the two levers worth examining, and the arithmetic found them.
Deal-killers
Some assumptions, if wrong, end the case entirely rather than reducing the return. A required volume above realistic capacity, a payback period longer than the available financing, or a runway shorter than the time to first revenue are structural problems. Identifying them early is usually the most valuable part of the exercise.
Sensitivity and confidence
Testing each assumption one at a time shows which ones the result actually depends on. A case that survives a 20% revenue shortfall is in a different position from one that fails at 5%. Confidence should follow the quality of the inputs: assumptions based on observed data deserve more weight than estimates.
What a feasibility result is not
It is not a valuation, a forecast, a business plan or approval to proceed. It is a structured reading of the numbers you supplied, under the assumptions you chose. Actual outcomes may differ materially, and decisions with material consequences warrant professional input.
Where AI-assisted analysis fits
AI-assisted analysis may help by organising the assumptions supplied, identifying relationships between financial variables, comparing scenarios and highlighting areas that appear to warrant attention — producing a more holistic view alongside the calculated outputs. AI-generated observations can provide an additional analytical perspective; they are not professional advice and do not determine whether a venture should proceed. Results depend on the information and assumptions provided, and users should critically review outputs.
Understand, assess, explore, plan
Feasibility is the assess step applied to a decision rather than to a household position. It pairs naturally with what-if analysis and with a cash flow projection covering the period before revenue stabilises.