Many projects fail not because the idea is bad, but because the owner leapt from enthusiasm to execution without stopping at the station of hard questions. An economic feasibility study is that station: a structured process that turns an idea into figures and testable assumptions, then puts you in front of a clear decision to proceed, adjust or stop. In this guide we set out the complete steps as we apply them in the Omani market, together with what to watch for at each stage.
What a Feasibility Study Is, and What It Is Not
A feasibility study is not a marketing document written to persuade others that the project will succeed, nor is it a formality attached to an application and then forgotten. It is first and foremost a decision tool, and its real value appears when it reveals what you could not see: a smaller market than you thought, higher operating costs, or a payback period longer than you can afford to wait.
A good study answers five interconnected questions:
- Is there genuine demand? Who is the customer, how much will they pay, and how often will they buy?
- Is the project technically feasible? What are the right location, technology and production capacity?
- Does the regulatory framework allow it? What licences and conditions are required?
- Do the numbers work? What is the expected return relative to the risks and the opportunity cost?
- Can it be financed and managed? Who is the team, and what is the right financing structure?
Step One: Define the Idea and the Scope of the Study
Before collecting any data, write a precise one-page description of the project: the product or service, the target customer, the proposed location, the approximate size of the investment, and the purpose of the study itself. A study prepared for an internal decision differs in focus from one submitted to a bank, a financing fund or the board of a waqf entity.
This is also the stage at which you decide the level of depth required. If the idea is still at an early stage, a quick preliminary study that screens out weak ideas early may be enough; we explain the difference in our article Preliminary or comprehensive study?.
Step Two: Market Study and Demand Estimation
This is the most important stage of the study and the one most prone to excessive optimism. What it requires is not general statements about a "promising market", but a numerical estimate built on a clear methodology.
What Does a Market Study Cover?
- Defining the customer segment precisely: individuals or businesses, in which governorate, and with what purchasing power.
- Analysing existing competitors: their prices, locations, strengths and weaknesses.
- Estimating current and future demand and the share you could realistically capture.
- Setting the pricing strategy and the sales and distribution channels.
Among the most important data sources in Oman are the statistical bulletins published by the National Centre for Statistics and Information and data from the relevant sector authorities, alongside field surveys and interviews with prospective customers and suppliers. We have devoted a full article to the methodologies for estimating demand in the Omani market.
Steps Three and Four: The Technical and Regulatory Study
The Technical Study
The technical study translates expected demand into tangible operating requirements. It usually covers:
- Location: proximity to customers or raw materials, availability of services, and the cost of land or rent.
- Production capacity: how many units or customers the project can serve, and how capacity utilisation ramps up over the years.
- Equipment and technology: the available alternatives, compared on cost, efficiency and the local availability of maintenance.
- Inputs and suppliers: raw materials, their sources and the stability of their prices.
- Organisational structure and workforce: the positions required and their cost, taking into account the Omanisation requirements applicable in the sector.
- Implementation timeline: from incorporation to the start of commercial operation.
Legal and Regulatory Aspects
You must verify the permitted activities, the licences required, the authorities that issue them, and any environmental and municipal conditions. The Oman Business Platform and the Ministry of Commerce, Industry and Investment Promotion are the natural starting points for this verification. The rule here is simple: assume nothing, and document every requirement from its official source with a recent date, because procedures can change. It is also wise to check the site's own requirements early, such as permitted land uses and civil defence requirements, because discovering a regulatory obstacle after signing a lease or buying equipment is far more costly than discovering it on paper.
Step Five: The Financial Study
This is where all the previous threads come together in a single financial model. The financial study consists of these core elements:
| Element | What it includes |
|---|---|
| Investment costs | Land or fit-out, equipment, incorporation, and initial working capital |
| Expected revenues | Expected quantities multiplied by prices, with a ramp-up over the years |
| Operating costs | Salaries, rent, materials, utilities, marketing and maintenance |
| Projected financial statements | Income statement, cash flows and balance sheet for five years or more |
| Decision indicators | Net present value, internal rate of return, payback period and break-even point |
A Hypothetical Example
Suppose a modern car wash in one of Muscat's wilayats with an initial investment of OMR 120,000. If the study estimates an average of 60 cars a day with an average spend of OMR 4, daily revenue is OMR 240, and annual revenue on the basis of 330 working days is around OMR 79,200. If annual operating costs reach OMR 52,000, net operating cash flow is around OMR 27,200 a year, and the simple payback period is roughly 4.4 years.
But this first reading is incomplete. What if the average is 45 cars, not 60? Revenue falls to OMR 59,400, cash flow drops to just OMR 7,400, and the payback period stretches to more than 16 years. This large difference, caused by a single assumption, is what makes the next step essential.
To understand these indicators in depth, see our article on net present value, internal rate of return and payback period.
Steps Six and Seven: Testing Risks, Then the Recommendation
Risk and Sensitivity Analysis
It is not enough for the project to be viable in the base case; you need to know which variables have the greatest impact, and how far they can fall before the project becomes loss-making. This includes:
- Testing the effect of changes in sales, prices and operating costs on the decision indicators.
- Building optimistic, base and conservative scenarios.
- Identifying non-financial risks: regulatory, operational, supplier and competitive risks.
- Proposing measures to mitigate each major risk.
We cover the methodology in detail in our article on sensitivity and scenario analysis.
The Recommendation and the Decision
The study ends with an explicit, unambiguous recommendation, which usually takes one of three forms:
- Proceed: the project is viable and its risks are acceptable and manageable.
- Proceed with conditions: the project is viable if a particular element is adjusted, such as reducing the initial scale, changing the location or restructuring the financing.
- Do not proceed: the numbers do not justify the risk under current conditions.
The third recommendation is not a failure of the study. It may in fact be its most valuable outcome, because it has protected capital from a commitment that would have been hard to reverse later.
Common Mistakes in Feasibility Studies
Certain mistakes recur in weak studies, and many of them only surface after operations begin, when correcting them is costly:
- Copying an off-the-shelf study for a similar project without adapting it to the location, market and timing.
- Assuming full occupancy from the first year instead of a realistic ramp-up in capacity utilisation.
- Overlooking working capital and focusing only on the cost of equipment and fit-out.
- Confusing profit with cash: a project can be profitable on paper while suffering a liquidity shortfall.
- No sources: the origin of every figure in the study must be known.
- Ignoring a realistic implementation period: a delay of a few months in opening postpones revenues, while some costs such as rent and salaries start early.
- A study written after the decision has been made to justify it rather than test it, which strips it of its value as a decision tool from the outset.
Conclusion
An economic feasibility study is a structured journey from idea to decision. It passes through the market, technology, regulation, finance and risk, and ends with a recommendation you can defend to yourself, your partners and your funder. The more it is built on documented data, explicit assumptions and rigorous sensitivity testing, the better placed you are to invest with confidence or to withdraw at the right time. If you are considering a project and want an independent, methodical reading of its feasibility, we would be glad to start with you: request your study.
Frequently Asked Questions
How long does a comprehensive economic feasibility study usually take?
The duration depends on the project's size, complexity and the availability of data. A small service project may be completed in a few weeks, while large industrial or tourism projects need more time for field surveys and technical analysis. More important than speed is that the assumptions are documented and open to review.
Does a feasibility study guarantee bank financing?
No. The financing decision rests with the financing institution, according to its policies and its assessment of risk and collateral. But a well-prepared study presents the project in a language the credit analyst understands and answers their questions in advance, which improves the quality of the file submitted.
Can I prepare a feasibility study myself?
You can prepare an initial outline yourself to test the idea, and it is a useful exercise. But when the amount is large, or the study must be submitted to a financier or partners, independent expertise in building the financial model and estimating demand reduces the likelihood of costly mistakes.


