Business Solutions · UAE Feasibility
Feasibility Study Sensitivity Analysis: Test the Assumptions That Matter
A forecast can look profitable until sales volume, price or unit costs change. A small sensitivity table makes the decision less dependent on a single optimistic number.
What does sensitivity analysis add to a feasibility study?
A feasibility study estimates whether a project can work under stated market, operating and financial assumptions. Sensitivity analysis changes one or more important assumptions and shows how the result moves. It helps identify the variables that can reverse a decision. It does not predict which scenario will happen.
The UAE Ministry of Economy’s business-planning guide identifies sales forecasts, cash flow, expenditures and break-even analysis as parts of financial planning. The UNIDO feasibility-study manual explains sensitivity analysis as a way to identify critical variables and assess changes in price, costs and break-even. Neither source supplies the fictional numbers below.
Worked example: a fictional UAE service operation
Assume a service business charges AED 100 per completed order, pays AED 40 in variable cost per order and has AED 30,000 in monthly fixed costs. For simplicity, this illustration excludes financing, taxes, VAT, capital expenditure and timing differences in cash collection.
| Scenario | Orders | Price | Variable cost | Monthly contribution less fixed cost |
|---|---|---|---|---|
| Base | 650 | AED 100 | AED 40 | 650 × (100 − 40) − 30,000 = AED 9,000 |
| Downside | 550 | AED 95 | AED 44 | 550 × (95 − 44) − 30,000 = −AED 1,950 |
| Volume upside | 750 | AED 100 | AED 40 | 750 × (100 − 40) − 30,000 = AED 15,000 |
The base case reaches operating contribution break-even at 30,000 ÷ (100 − 40) = 500 orders. In the downside case, break-even is 30,000 ÷ (95 − 44) = 588.24, so at least 589 whole orders are needed on these assumptions. The downside sales assumption is 550, below that threshold. This is a warning to revisit demand evidence, pricing power, variable costs and available cash—not proof the business should be abandoned.
Notice that the downside changes three variables together. That is a scenario test. To learn which variable is most influential, change one assumption at a time as well, then examine plausible combined movements. Keep a written record of the source, date and owner of each input.
Build a useful test for your own project
- Define the decision. State whether the model supports opening a location, adding capacity, seeking funding or choosing between alternatives.
- Separate evidence from assumptions. Mark actual quotes, confirmed contracts and public statistics separately from management estimates.
- Choose drivers that could change the decision. Usually these include sales volume, achievable price, cost per unit, fixed costs and collection timing. Use the drivers relevant to your model.
- Set defensible ranges. Document why each lower and upper case is plausible; a neat ±10% is not automatically meaningful.
- Show break-even and cash effects. A positive operating contribution can coexist with a cash shortfall if customers pay late or startup costs arrive first.
- Test capacity and compliance constraints. Do not assume the project can deliver a higher volume without additional people, licences, space or working capital.
Which single assumption causes the biggest change?
The downside scenario above changes volume, price and unit cost together. To see what drives the result, hold the other base-case inputs fixed and vary one at a time. This does not replace a combined scenario; it tells the team where better evidence could change the decision.
| Single change from base | Illustrative calculation | Monthly result |
|---|---|---|
| 100 fewer orders: 550 | 550 × (100 − 40) − 30,000 | AED 3,000 |
| Price falls to AED 95 | 650 × (95 − 40) − 30,000 | AED 5,750 |
| Variable cost rises to AED 44 | 650 × (100 − 44) − 30,000 | AED 6,400 |
Under these particular changes, the 100-order shortfall has the largest effect on monthly operating contribution. That does not prove demand is always the biggest risk; the size and plausibility of each change matter. A supplier quote may make a cost range much more reliable than an untested sales-volume estimate. UNIDO’s feasibility manual describes sensitivity testing of unit price, costs and sales volume to identify critical variables.
Translate the threshold into an evidence request
If the base break-even point is 500 orders a month, ask what evidence supports at least that volume: comparable service history, signed demand, a credible market-size estimate or a bounded pilot. Also ask whether capacity, staffing and customer acquisition cost still work at 500 orders. A spreadsheet threshold has little commercial value unless the team can connect it to a testable operating plan.
Separate operating contribution from cash. A business may pass this simplified test yet require funds before customers pay. List startup outflows, deposit requirements, payment terms and a realistic collection lag in a separate cash-flow schedule. The UAE Ministry of Economy’s business-plan guide covers forecasts, cash flow, expenditures and break-even as related planning components.
Turn the table into a decision
Record the thresholds that management can act on: minimum viable sales, the highest tolerable unit cost, a contingency reserve and a date for rechecking assumptions. A lender or investor may request a different model and evidence standard; tailor the analysis to the actual decision and audience.
Frequently asked questions
Is sensitivity analysis the same as a forecast?
No. It shows how a stated result changes when selected inputs change. The chosen ranges still need evidence and judgement.
Should I include VAT or corporate tax in the example?
For a real UAE project, use the applicable accounting and tax treatment confirmed by a qualified adviser. This simplified contribution example deliberately excludes them.
Can a project with a weak downside case still be viable?
Possibly. The result helps define safeguards, funding needs and go/no-go conditions. It does not make the decision by itself.
Make the evidence fit your decision
If you need a project-specific market and financial case, see Labeeb’s market research and feasibility advisory service. We can help structure the assumptions and supporting evidence for review; no template can replace your actual commercial data.