When a business considers a significant investment, feasibility is often reduced to one question: will the numbers work? That question matters, but it is only one of several. A project can show an attractive return and still depend on technology that is not ready, skills the business does not have, a supplier that cannot support it, cash the business cannot spare, approvals it may not get or a direction the business does not intend to take.
Feasibility is not a single test. It is a set of conditions that must all hold together under the circumstances the business actually faces. The purpose of a feasibility assessment is not to predict the future perfectly. It is to expose, before commitment becomes expensive, the conditions under which the idea can or cannot succeed.
This article sets out six areas of feasibility, explains why assumptions need as much attention as calculations, why alternatives must be compared fairly, how to tackle make-or-break questions first and how to use staged commitment to turn uncertainty into evidence. It applies to equipment, premises, new products, new services, systems and acquisitions alike.
Common misreadings
Feasibility is a technical sign-off. An engineer or supplier may confirm that something can be built. That does not show customers will buy it, staff can run it, suppliers can support it or the business can afford the transition.
Demand means viability. A market may exist while the economics of serving it remain poor.
Only the preferred option needs testing. Assessing just one option turns feasibility into a justification rather than a comparison.
The model’s precision reflects its reliability. Assumptions about price, volume, utilisation, productivity, service life and implementation time often drive the answer more than any calculation. Hidden inside a spreadsheet, they look like facts.
Six areas of feasibility
Technical
Can it perform as required, safely and reliably, at the scale needed? Is the technology mature? Are quality, integration and maintenance risks understood? What skills, equipment, data or infrastructure does it need? Something that works in a demonstration or a small trial may not work reliably at full production.
Operational
Can the business absorb and sustain it? Consider training, maintenance, process changes, support, the workload of people already stretched and who will own the capability once the project is finished. A new capability without a way to run it day to day is not fully feasible.
Market
Is there enough genuine demand or need, at a price that works? What evidence is there beyond enthusiasm: orders, letters of intent, trial results, customer research?
Commercial
Can it be sourced, contracted, delivered and supported on realistic terms? Are suppliers capable and stable? Is there dependence on a single vendor, an overseas service team or an immature market? Can the business sell it through its existing channels?
Financial
Can the business fund both the investment and the transition? Look beyond return to capital, operating costs, working capital, cash flow timing and financing conditions. An attractive long-term return can still be unaffordable if cash is needed before the business can support it.
Strategic, legal and ethical
Does it fit where the business is heading? A technically excellent project can be strategically wrong if it strengthens something the business plans to move away from. Can it operate within legal, regulatory, safety and ethical expectations? Are approvals needed, and how likely are they? Would any consequences make the business value unacceptable?
| Area | Core test | Typical evidence |
|---|---|---|
| Technical | Can it perform safely and reliably at the scale required? | Trials, engineering review, supplier references, integration tests |
| Operational | Can we adopt and sustain it? | Skills map, training plan, maintenance and support plan, named owner |
| Market | Is there enough real demand at a workable price? | Orders, trials, customer commitments, research |
| Commercial | Can it be sourced and supported sustainably? | Supplier capability, contract terms, alternatives |
| Financial | Can we fund it and do the economics hold? | Cash flow forecast, whole-of-life cost, sensitivity tests |
| Strategic, legal and ethical | Does it fit our direction and obligations? | Link to strategy, approvals, safety and regulatory review |
A proposal does not need zero uncertainty in every area. It needs uncertainty to be visible, proportionate and managed.
Assumptions are part of the design
A feasibility study is only as strong as its critical assumptions. For an equipment investment, these might include sales volume, product mix, utilisation, scrap rates, labour availability, uptime, energy costs and supplier lead times. For a new service, they might include take-up, price, cost to serve and how long customers stay.
Write the assumptions down, with their sources. Then separate those that are merely uncertain from those that are decisive: assumptions that would change the decision if wrong. Decisive assumptions deserve evidence, sensitivity testing or a staged trial before full commitment. The plans that detect rather than predict article describes how to work with load-bearing assumptions.
Compare alternatives on a fair basis
Alternatives must be comparable to be meaningful: similar capacity, similar service life, similar maturity of analysis and the same assumptions about volume, prices and timing. An option analysed in detail will often look worse than one sketched optimistically, simply because more of its problems have been found.
Include genuinely different alternatives, not just variations of the preferred one. For an automation proposal, that might mean a fully integrated system, a modular upgrade of the bottleneck and a process redesign with little new equipment. The best option is not necessarily the one with the highest theoretical return. It is the one with the strongest value under realistic conditions. The cost-benefit analysis for business decisions article covers how to compare options’ costs and benefits over time.
Answer the make-or-break questions first
Feasibility work often spends time refining details while a fundamental question remains open. If regulatory approval is uncertain, a detailed five-year maintenance forecast is not the priority. If customers have not confirmed they will accept the product, refining production cost to the last dollar can wait.
Start by listing the questions that could stop the project outright. Answer those first, as cheaply as possible. Only then invest effort in refining the rest.
Grade the evidence in each area
For each of the six areas, grade the evidence behind the conclusion as proven, plausible, weak or unknown. Proven means tested in conditions like yours; plausible means supported by credible comparisons; weak means resting mainly on belief or a supplier’s claim; unknown means nobody has looked. The grades show at a glance where the decision still depends on hope rather than evidence. Watch the language too: a study that says “will” where the evidence supports only “may” is signalling more confidence than it has earned.
“Aligned to strategy” needs a mechanism
Saying a project supports the strategy is not enough. Explain the chain: the investment creates a capability or change, which has an operational effect, which produces an outcome for customers or the business, which delivers the strategic benefit. If nobody can describe that chain, alignment is probably just a label. A strategic label should increase the quality of analysis, not exempt a project from it.
The decision at the end of a feasibility study also does not need to be a simple yes or no. Approve, approve with conditions, redesign, run a staged trial, defer or stop are all legitimate outcomes.
Ask the full question
A useful test of any feasibility study is whether it answers the full question: not just “can it be done?” but “can it be done here, now, by this business, at this scale and within these constraints?” Many projects fail not because the idea was impossible, but because the conditions assumed were not the conditions faced.
Use staged commitment
Where uncertainty is high, staged commitment can turn assumptions into evidence before a large, irreversible step. Options include:
- a pilot or trial with one customer;
- a prototype;
- using a contractor or service provider before buying equipment;
- leasing before buying;
- a limited launch;
- a partnership that shares the early risk.
Each stage should have a clear purpose, a question it answers and a decision it informs. The objective is not to slow every project down, but to preserve the ability to change course where uncertainty is high.
Learn from past projects
Over time, compare what feasibility studies assumed with what actually happened: how long implementation took, how quickly customers adopted, how reliable equipment proved and what running costs turned out to be. A business that does this gets steadily better at feasibility, because its assumptions are grounded in its own experience rather than suppliers’ brochures.
Name who will own the result
A frequent cause of disappointment is that nobody owns the new capability once the project team moves on. The equipment is installed, the system goes live or the product launches, and then maintenance, training, improvement and performance tracking fall between roles. Before committing, name the person who will own the result in day-to-day operation, confirm they have the time and authority to do it, and include the cost of that ownership in the financial case. If nobody suitable can be named, the project is not yet operationally feasible, however good its numbers look.
A worked example
This is an illustration. A precision machining business with 20 staff is considering metal additive manufacturing, often called 3D printing, to produce replacement parts for mining equipment customers. The machine would cost about $650,000, plus about $120,000 for post-processing equipment.
The financial case looks attractive on the supplier’s assumptions. The owner works through all six areas:
- Technical: printed parts must meet customers’ material and quality requirements. None of the business’s customers has yet approved printed parts for the relevant applications. This is a make-or-break question.
- Operational: the process needs powder handling, heat treatment, machining of printed parts and a trained operator. The business has machining skills but no experience with metal powders.
- Market: three customers have expressed interest, but none has committed volume.
- Commercial: the machine supplier’s service team is overseas, and powder supply comes from a single distributor.
- Financial: the owner estimates annual fixed costs of the machine, including depreciation, maintenance and an operator, at about $260,000. With an estimated contribution of about $180 per machine-hour, the machine would need about 1,444 productive hours a year, roughly 28 hours a week, just to break even.
- Legal and safety: fine metal powders can create fire, explosion and health hazards. The business would need to understand and meet its work health and safety obligations, including guidance from its state regulator and Safe Work Australia.
The make-or-break questions are customer approval of printed parts and safe powder handling. The owner compares three alternatives:
- A: buy the machine now.
- B: use a specialist printing service for twelve months, doing post-processing and machining in-house, to test customer approval and demand.
- C: run a short trial with a university or research facility that already has the equipment.
The owner chooses B, with C for one particularly demanding part. A trigger is set: if two customers approve printed parts and orders reach a level that would keep a machine busy for at least 28 hours a week, revisit the purchase with real data. A year later, one customer has approved parts and volume is about half the breakeven level. The business continues with the service provider, earning margin on post-processing and machining without carrying a $770,000 investment that would have run at a loss.
How this applies to a small Australian business
Small businesses often make one or two major investments every few years, and a poor one can strain the whole business. Practical steps:
- Test all six areas, not just the financial return.
- Write down assumptions and their sources, and identify the decisive ones.
- Compare genuinely different alternatives on a fair basis.
- Answer make-or-break questions first.
- Ask whether it can be done here, now, by us, at this scale.
- Use staged commitment where uncertainty is high.
- Name who will own the capability after the project is finished.
- Check legal, safety and approval requirements with the relevant regulators and advisers.
- Talk to your accountant about financing, cash flow and tax effects before committing.
Signals worth watching
- A feasibility study written after the decision is effectively made.
- Untested assumptions copied from supplier material.
- Technical reviews that do not involve the people who will run the equipment.
- Commercial models that ignore supplier fragility.
- Business cases that assume customers will adopt without evidence.
- Detailed analysis of minor issues while make-or-break questions remain open.
Common mistakes
- Reducing feasibility to the financial return.
- Testing only the preferred option.
- Comparing alternatives analysed at different depths.
- Hiding decisive assumptions inside a model.
- Ignoring operational ownership after the project ends.
- Committing fully when a staged approach would answer the key question first.
Frequently asked questions
How much should we spend on feasibility? In proportion to the size and reversibility of the decision. For a large, hard-to-reverse investment, spending a small percentage of its cost to test make-or-break questions is usually worthwhile.
Who should do the feasibility work? Ideally a small group including the person who will own the result, someone with financial skills and someone who will operate it, with outside help for specialist questions. Avoid relying solely on the supplier.
What if every area looks uncertain? Focus on the questions that could stop the project, and design small, cheap tests for them. If they cannot be answered, reduce the size of the commitment or delay it.
Should we use a consultant? For specialist technical, regulatory or market questions, often yes. Make sure they test your assumptions rather than simply build a more detailed model around them.
What if the feasibility study says no? That is a valuable result. Record what was learned and what would need to change for the idea to become feasible, so it can be revisited if conditions change.
How do we stop the supplier’s enthusiasm shaping the study? Use the supplier for facts about the product, but test their claims independently. Ask for references from similar businesses, visit a site where the product is used and build the financial case on your own assumptions about volume, price and utilisation rather than theirs.
Questions to ask
- What would make this infeasible even if the return looks attractive?
- Which assumptions are decisive, and what evidence do we have for them?
- Are we genuinely comparing alternatives or justifying one?
- What can we learn cheaply before an irreversible commitment?
- Who will own and run this after the project ends?
- Which of the six areas has the weakest evidence?
Bringing it together
Feasibility is not an obstacle to ambition. It is the discipline that separates credible plans from expensive optimism. Test the technical, operational, market, commercial, financial and strategic, legal and ethical conditions together, make assumptions visible, compare fair alternatives, answer make-or-break questions first and use staged commitment where uncertainty is high. The aim is to commit boldly where the conditions are genuinely favourable, and to find out cheaply where they are not.
Source: KEVOS notes, drawing on teaching material on feasibility assessment across technical, operational, commercial, financial, strategic and ethical dimensions. Examples and figures in this article are illustrations. This article is general information, not financial or safety advice.
