Guide · Feasibility Studies

How to Prepare a Feasibility Study: A Visual, Step-by-Step Guide

By Dr. Nadim B. Matraji — Founder & CEO, PosterUsKey

Every large investment starts as an idea and an optimistic spreadsheet. A feasibility study is what turns it into a decision: a structured test of whether a project, investment or market entry can succeed, before you commit the capital.

In short: a feasibility study answers one question: should we proceed? It tests the market, your ability to deliver, the financial return and the risks, then ends with a clear recommendation: go, go with conditions, or stop.

What a feasibility study is, and what it is not

A feasibility study is an early, evidence-based assessment of whether a specific proposal is viable. It is often confused with two neighbouring documents. A business plan describes how you will run the venture after you have decided to proceed. Market research is one input to the study, not the study itself. What sets a feasibility study apart is that it is allowed to say no.

Feasibility study compared with a business plan and market research
Feasibility studyBusiness planMarket research
Question it answersShould we do this?How will we do it?What do customers want?
When it is usedBefore capital is committedAfter the decision is madeAny time, usually as an input to the other two
What it producesA go, conditions or stop recommendationAn operating and financing roadmapInsight into demand and behaviour
Can it end the project?Yes. That is its purposeRarelyNo

The six-step process

Every credible study follows the same logic, whatever the sector. The map below shows the six steps, what you do in each, and what you should have in hand when it is finished.

Process map

From idea to decision in six steps

  1. Step 1

    Define the decision

    You do
    Write the decision, the success criteria and the limits (budget, timeline, must-haves) before any analysis.
    You produce
    A one-page decision statement.
  2. Step 2

    Size the market

    You do
    Estimate demand top-down and bottom-up. Profile customers, competitors and pricing.
    You produce
    Market size, target segments and a realistic share.
  3. Step 3

    Test delivery

    You do
    Check location, technology, supply, people, licences and timeline.
    You produce
    An operating plan and a list of gaps.
  4. Step 4

    Build the numbers

    You do
    Model investment, revenue, costs and cash flow under three scenarios.
    You produce
    A financial model with NPV, IRR and payback.
  5. Step 5

    Stress-test the risks

    You do
    List the risks, score likelihood and impact, and plan a response to each.
    You produce
    A risk register and sensitivity analysis.
  6. Step 6

    Decide

    You do
    Score the case against the criteria you set in step 1.
    You produce
    A recommendation: go, go with conditions, or stop.

The four lenses

Steps 2 to 5 examine the proposal through four lenses. A weakness in any one of them can sink an otherwise attractive project, which is why they are tested together rather than one after another in isolation.

Framework

Four lenses, one decision

OutcomeGo / No-go

Market

Is there enough demand, at a price that works, and can you win a realistic share?

Step 2

Delivery

Can the business build and run it: people, technology, supply, permits and timeline?

Step 3

Financial

Does the investment earn more than it costs, including in a bad year?

Step 4

Risk and structure

What could go wrong, and do the partners, structure and governance protect you?

Step 5

Step 1: Define the decision before you analyse anything

Many studies drift because nobody wrote down which decision they serve. Start with a single sentence that names the action, the place, the money and the timeframe, then agree how the answer will be judged before you see any numbers. It is far harder to move the goalposts once the team has fallen in love with the spreadsheet.

Template

The decision statement

We will decide by date whether to action in market or location, investing up to amount, to achieve outcome within timeframe.

  • Return thresholdThe minimum return you require, also called the hurdle rate.
  • Payback limitThe longest you are willing to wait to recover the investment.
  • Deal-breakersConditions that end the project regardless of the numbers.
  • Decision ownerThe person or body that will make the call.

Step 2: Size the market, two ways

There are two ways to estimate demand, and a good study uses both. Top-down starts from a large number, such as the total market, and narrows it. It is quick, but it flatters the project. Bottom-up starts from what you can actually sell: customers you can reach, multiplied by the share you can win and the price they will pay. It is slower and far more defensible. When the two disagree, find out why. The gap usually contains the most important assumption in the study.

Alongside sizing, profile the competitors: who already serves these customers, how they price, and what customers use today if they use nothing you offer.

Infographic · Illustrative example

From total market to realistic revenue

A worked example of bottom-up sizing for a hypothetical subscription service.

400,000Total market
Everyone who could buyAll potential customers in the region.
100,000Serviceable
The segment you can serveThe right profile, in the area you can reach: 25% of the total.
5,000Obtainable
What you can realistically win5% of the serviceable market in year one.

Bottom-up check: 5,000 customers × $120 average annual spend = $600,000 year-one revenue. That is the starting figure in the financial model in step 4.

Illustrative example. These numbers are invented to show the method. They are not client data or a market forecast.

Step 3: Test whether you can actually deliver

This is where enthusiasm meets reality. Even a strong market is worthless if the business cannot serve it. Walk through each of the six areas below and record every gap. Each gap becomes either a cost in the model or a risk in the register, which is how this step feeds steps 4 and 5.

Checklist

Six questions on delivery

  • Location and premisesIs the site or territory available, accessible and affordable?
  • Technology and equipmentWhat must be built, bought or integrated, and by when?
  • Supply chain and partnersWho supplies what, and what happens if they fail?
  • People and skillsCan you hire and keep the team the plan assumes?
  • Licences and regulationWhat approvals are needed, and how long do they take?
  • Timeline and dependenciesWhat must happen first, and what can slip?

Step 4: Build the numbers, and try it yourself

The financial model turns everything learned so far into cash flows: the upfront investment, then revenue and costs year by year. Three measures summarise it:

  • Net present value (NPV): the value today of all future cash flows, minus the upfront investment, discounted at the return you require. A positive NPV means the project earns more than that required return.
  • Internal rate of return (IRR): the annual return the project itself earns. Compare it with your required return, the hurdle rate.
  • Payback period: how long it takes for cumulative cash flow to recover the investment. It ignores everything after that point, so use it alongside NPV, never instead of it.

Always model at least three scenarios: a base case, a downside and an upside. A project that only works in the base case is fragile. Then run a sensitivity analysis to find which single assumption moves the answer most, because that is where your research effort should go first.

The tool below is a deliberately simple model so you can see the mechanics. Move the sliders and watch the chart, the three measures and the sensitivity bars respond.

Interactive tool · Step 4

A simple financial model

Adjust the assumptions. The chart shows cumulative cash: the line crosses zero at payback. Dashed lines are the downside and upside scenarios.

Paid in year 0.
From the funnel above: 5,000 customers × $120.
Yearly growth after year 1.
Share of revenue left as operating cash.
The discount rate, also called the hurdle rate.
NPV–
IRR–
Payback–
Results by scenario
ScenarioNPVIRRPayback

Which assumption matters most?

Each bar shows how the base-case NPV changes when that one input is 20% lower or 20% higher. The longest bar is the assumption to verify first.

Illustrative educational tool, not financial advice. The model is deliberately simplified: eight years, revenue growing at a fixed rate, cash flow equal to revenue times operating margin, with no tax, inflation, working capital, later capital spending or terminal value. Downside assumes revenue 25% lower and investment 15% higher; upside assumes revenue 25% higher and investment 10% lower. A real study models these in detail.

How to read the results

  • Where the base line crosses zero is the payback point. The further right it sits, the longer your capital is at risk.
  • The gap between the dashed lines shows how much the outcome depends on getting the assumptions right.
  • The longest sensitivity bar is the assumption to test first. Spend research budget there, not on the inputs that barely move the result.

Step 5: Stress-test the risks

A risk is only useful if it is specific, scored and owned. List what could go wrong, score each risk for how likely it is and how much it would hurt, and plot them. The heat-map below makes the priorities obvious: anything in the upper right needs a response before you commit.

Chart · Illustrative example

Risk heat-map

  1. 1
    Demand falls short of forecastLikelihood 4, impact 5. Reduce: pilot or pre-sell before committing.
  2. 2
    Build or launch cost overrunLikelihood 3, impact 4. Reduce: contingency and fixed-price contracts.
  3. 3
    Licence or permit delayLikelihood 3, impact 3. Reduce: start applications early.
  4. 4
    Key partner or supplier failsLikelihood 2, impact 5. Transfer: contract terms and a second source.
  5. 5
    Currency or input-price shockLikelihood 4, impact 3. Transfer: pricing clauses and hedging.
  6. 6
    Talent shortageLikelihood 2, impact 3. Reduce: recruit ahead of launch.
  7. 7
    Competitor responseLikelihood 3, impact 2. Accept and monitor.
AvoidChange the plan so the risk cannot occur.
ReduceLower the likelihood or soften the impact.
TransferShift it through contracts, insurance or partners.
AcceptSize it, monitor it and keep a reserve.

Illustrative example. The risks and scores are invented to show the method. A real register is built from your own project.

Step 6: Make the go / no-go call

A feasibility study should end with one of three outcomes: go, go with conditions, or stop. Conditions are specific things that must be true, each with an owner, before capital is committed. Stopping is a legitimate and valuable result: it costs a fraction of a failed project.

Use the scorecard below to turn judgement into a structured conversation. Rate each criterion from 1 (weak evidence) to 5 (strong evidence). Set your weights before you score, so the result cannot be bent to fit a favoured answer.

Interactive tool · Step 6

Go / no-go scorecard

Market demand 25%
Evidence that customers will buy, at a price that works.
Ability to deliver 20%
Operations, people, licences and supply are in place or attainable.
Financial return 25%
NPV and payback clear your hurdle in both the base and downside cases.
Risk exposure 15%
Key risks are identified, sized and manageable.
Strategic fit 10%
It supports your wider strategy and does not distract from the core.
Funding and timing 5%
Capital is available when needed and the timeline is realistic.
50 / 100
Rework the case

A score is a conversation starter, not a verdict. The weights shown are a sensible default for learning; a real study agrees them with the decision-makers in step 1. Any criterion rated 1 is flagged, because one critical weakness can outweigh a high total.

Five mistakes that undermine feasibility studies

Most failed studies fail in the same few ways. Each has a simple fix, provided you apply it early.

What a finished feasibility study contains

The finished document mirrors the process. A decision-maker should be able to read the first page and know the answer, then turn to the detail behind it.

Feasibility studyAnatomy of the report
  1. 1
    Executive summaryWhat is the recommendation, and why?
  2. 2
    Decision and scopeWhat exactly are we deciding, and by what criteria?
  3. 3
    Market analysisIs there enough demand, and can we win a share?
  4. 4
    Operations and delivery planCan we actually build and run it?
  5. 5
    Financial analysisDoes it return more than it costs in every scenario?
  6. 6
    Risk assessmentWhat could go wrong, and how do we respond?
  7. 7
    Recommendation and next stepsGo, go with conditions, or stop, and what happens next?

Frequently asked questions

It depends on the scope, the number of markets and how much data already exists. A desk-based screening can be relatively quick; a study that needs primary research and detailed modelling takes longer. Scope drives time, so agree the scope first.

Cost follows scope and is usually small relative to the investment being tested. We scope each study after a first conversation, so you know what is included before you commit.

Ideally someone independent of the project's sponsor, so the analysis is free to say no. Internal teams supply the data and context; an outside advisor supplies the challenge.

That is a successful outcome, not a failed one. Stopping costs far less than a failed project, and the answer is often “not like this”: a re-scoped version can pass.

Weighing a real investment?

PosterUsKey prepares independent feasibility studies for investments, new ventures and market entry, led directly by Dr. Matraji.

Our Feasibility Study Service → Discuss Your Project
Dr. Nadim B. Matraji
Dr. Nadim B. Matraji
Founder & CEO, PosterUsKey — 25+ years in strategy & advisory
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