
Ever found yourself staring at a blank spreadsheet thinking, “We just need a number to get this moving”? You are not alone. One of the most common reasons clients contact IDEA is to obtain a cost estimate for a defined scope of work, often when the project is still taking shape.
And here is the awkward truth. Cost estimates are essential, but they are not magic. They are a structured prediction of the expected final cost, built from the best available information at the time. The quality of the estimate depends on the technique used, the quality of the inputs, and how honestly we treat uncertainty.
At IDEA, our engineers have led a wide range of conceptual studies, feasibility assessments, and Front End Engineering Design work. We use proven norms based on reference cost data when the project is early, and we switch to more refined cost breakdown models when the design maturity allows it. The goal stays the same in every case. Help you make business decisions with confidence while understanding the risks, the assumptions, and what could move the number.
In this article we break down how industrial project cost estimates are built, how accuracy changes by phase, and what that means for decisions
Most early estimates are not about spending tomorrow. They are about deciding today. You might be answering questions like:
A cost estimate becomes the passport that lets a project travel from idea to approval.
A good estimate is less like a fortune teller and more like a weather forecast. It tells you what conditions to expect and how wide the uncertainty band is. You would not plan an outdoor event based on the single number “18°C.” You would want the range, the risk of rain, and what might change.
Same for industrial projects.
A cost estimate is the prediction of the expected final cost for a defined scope, in defined conditions, at a defined point in time. That last bit matters more than people think. A cost estimate is time sensitive because markets shift, lead times change, and supply chain pressures come and go.
Different cost estimating techniques give different ranges of accuracy because they rely on different levels of detail. Early on, you might only know capacity, utility loads, and a rough plot area. Later, you might know equipment lists, line sizes, MTOs, and procurement strategies.
As the design matures, the estimate tightens. The number does not “change because estimating was wrong.” It changes because you learned more.
If someone gives you an early estimate to the nearest pound, that is a red flag. It can create a false sense of certainty and push teams into commitments that the project cannot support.
Many overruns come from the boring stuff that is easy to miss:
These are not “extras.” They are part of a real project.
Every estimate contains assumptions. The danger is when those assumptions stay invisible. When the project later breaks those assumptions, the estimate appears to “blow up” even though it was never anchored correctly.
At concept stage, speed matters. You want to screen options, kill weak ideas early, and focus effort on the best paths. Here, reference data and high level norms are usually appropriate.
Feasibility is where you start testing whether the preferred concept can actually work in your real site conditions. The estimate typically improves because you confirm constraints, utilities, layout implications, and key technical risks.
FEED is where confidence starts to feel real. You clarify scope boundaries, define design basis, identify key equipment, develop preliminary layouts, and resolve major technical uncertainties.
FEED turns “we think” into “we know.” It also produces the evidence your internal stakeholders need for approvals and governance. That usually reduces surprises later, which is where most cost pain lives.
This is often the right tool early on. If you have strong historical benchmarks for similar equipment or similar plants, you can build an estimate quickly. The key is knowing when the reference is truly comparable.
Factored methods use known costs for key items and apply factors for installation, piping, electrical, civils, and indirects. It is like building a meal cost starting with the main course, then estimating sides, service charge, and dessert using experience.
Parametric approaches use relationships, such as cost per unit capacity or cost per square metre, and adjust for complexity and conditions. They can be powerful, especially when supported by good data and consistent definitions.
When the design is mature enough, bottom up models can provide better traceability. You build up the estimate from equipment, bulk materials, labour, indirects, and contingency, all linked to a clear scope.
There is no single “best” method. The best method is the one that fits your project’s maturity, constraints, and decision need. Here are the key factors we consider when selecting the right technique.
If the technology is well established, you can lean more on references and proven norms. If it is novel, you need to widen uncertainty, focus on risk, and sometimes spend more time validating assumptions.
A straightforward swap out is not the same as integrating multiple systems into a live, constrained site with shutdown windows. Complexity drives effort, interfaces, and therefore uncertainty.
Good data is like good ingredients. It does not guarantee a perfect meal, but bad ingredients guarantee a bad one. If reference costs are outdated, poorly scoped, or not comparable, we either adjust carefully or change method.
Estimating is not just maths. It is judgement. Strong estimators know where projects hide costs and how to challenge assumptions that look harmless on paper.
Sometimes you need a quick screening estimate in a week. Sometimes you need a robust estimate for investment approval. The technique must match the time available.
A project in one region might face labour constraints, import duties, permitting timelines, or vendor scarcity that changes pricing and delivery risk. Market conditions also influence equipment lead times and contractor availability.
What is included. What is excluded. Where interfaces sit. Without boundaries, you do not have an estimate. You have a guess.
We capture key assumptions plainly, like:
This protects decision makers from surprise later.
Every estimate should show what could push cost up and what could pull it down. That turns the estimate into a practical management tool.
A range is not weakness. It is honesty. The range tells you the uncertainty band and helps you choose the right next step.
We do not just deliver a number. We highlight what you should do next to improve confidence, reduce risk, or validate the business case.
Risks are not just threats. They are uncertainties that deserve structured treatment. When risks are identified early, you can decide whether to accept, reduce, or transfer them.
Opportunities might include:
A good estimating process sees both sides of the coin.
Sometimes the best outcome of an early estimate is deciding not to proceed. That is a win. It saves capital, time, and focus for projects that truly deliver value.
A structured estimate helps you build a credible investment case, secure internal approvals, and communicate clearly with stakeholders. It also reduces the risk of later rework, which is one of the most expensive things in any project.
At concept stage, you might have a broad range because scope is still forming and site constraints are not fully understood. That is normal.
After FEED, you have defined equipment lists, clearer layouts, validated utilities, and a better view of risks and interfaces. The estimate usually tightens because uncertainty reduces.
Think of it like adjusting the focus on a camera lens. At first, the image is blurry, so you describe shapes. As you focus, details appear. The scene did not change, your understanding did.
We combine engineering judgement with structured estimating methods, and we treat assumptions and risk as first class citizens. That makes the estimate useful for decision making, not just reporting.
Depending on phase and scope, deliverables can include:
For more detail, our website outlines the key deliverables and activities involved in each phase of a project.
If you are unsure whether you need concept, feasibility, or FEED support, explore our webpage that lists key deliverables and activities for each project phase. It will help you pick the right level of effort for the decision you need to make.
Cost estimates are not just numbers. They are decision tools built from scope, data, judgement, and a clear understanding of uncertainty. The right estimating technique depends on technology familiarity, project complexity, data quality, team experience, time available, and market conditions. At IDEA, we help clients choose the right approach, capture assumptions transparently, identify risks and opportunities early, and build estimates that support confident business decisions. If you need a cost estimate you can stand behind, let’s talk.
You can request an estimate at concept stage, but expect a wider range. The earlier the phase, the more the estimate depends on assumptions and reference data.
Because the range tells you uncertainty. Decisions based on a single number can be misleading if the estimate is at an early stage.
A clear scope, site constraints, known utility capacities, any existing drawings, and your preferred timeline. Even rough information helps tighten assumptions.
Yes. Option screening and comparison is a common outcome of concept and feasibility work, especially when balancing cost, risk, and deliverability.
When the project looks viable and you need stronger confidence for approvals, procurement planning, or stakeholder alignment. FEED typically improves scope definition and reduces uncertainty.