In project management, choosing the right project is just as important as executing it well. Organizations receive numerous project proposals at any given time, but not all of them align with the company’s goals, resources, or strategic direction. This is where project selection models play a critical role.
Project selection models provide a structured and systematic approach to evaluating potential projects and determining which ones deserve investment. Whether a company is a small startup or a large corporation, using the right selection model can mean the difference between growth and wasted resources.
In this article, we will explore the major types of project selection models, how they work, and when to use them.
What are Project Selection Models?
Project selection models are frameworks or methods used by organizations to evaluate, compare, and choose projects from a pool of available options. These models help decision-makers assess projects based on criteria such as profitability, strategic fit, competitive advantage, and operational necessity.
Types of Project Selection Models
Project selection models are broadly divided into two major categories:
- Non-Numeric Models
- Numeric Models
Each category contains several sub-types, which we will discuss in detail below.
1. Non-Numeric Models
Non-numeric models are based on judgment, strategic reasoning, and qualitative factors rather than mathematical calculations. They are particularly useful when projects cannot be easily compared using numbers alone.
Non-numeric models include the following types:
1.1 The Sacred Cow
In this model, a project is proposed by a senior or highly influential official within the organization. The project typically originates from an apparent opportunity or a spontaneous idea — such as the development of a new product, the adoption of a modern information system with a universal database, or the establishment of a new market.
Because the idea comes from a powerful figure, the project is launched without rigorous formal evaluation. Its continuation depends entirely on the sponsor’s support. The project remains active until it is either completed or until the senior official acknowledges its failure and decides to end it.
1.2 The Operating Necessity
This model applies when a project is absolutely essential to keep operations running. A classic example would be building a protective barrier around a plant that is threatened by flooding. If a system is at risk of shutting down, a project is initiated to preserve it — regardless of its financial return.
In such cases, organizations like XYZ Steel Corporation evaluate projects using this criterion by asking a key question: Is the estimated cost of the project justified by the need to keep the system functioning? If the answer is yes, the project is approved, with a focus on keeping costs as low as possible while ensuring its success.
1.3 The Competitive Necessity
This model is used when a project is required to maintain or improve a company’s competitive position in the market. For example, in the late 1960s, XYZ Steel considered a major plant rebuilding project near Chicago using this criterion. Management recognized that modernizing their bar mill was necessary to remain competitive in that market.
Similarly, many universities have restructured their undergraduate and MBA programs to stay competitive in the academic market. While these projects may lack a detailed formal planning process, the desire to maintain a competitive edge provides sufficient justification for moving forward.
It is worth noting that operating necessity projects take priority over competitive necessity projects when it comes to resource allocation. However, both are considered more effective and strategic compared to many other selection models.
1.4 The Product Line Extension
Under this model, a project is evaluated based on how well a new product fits within the company’s existing product line. Decision-makers assess whether the new product strengthens a weak area, fills a gap, or moves the product line in a new and desirable direction.
In many cases, a detailed profitability analysis is not required. Decision-makers rely on their judgment about how the new addition will influence the overall performance of the company’s product portfolio.
1.5 The Comparative Benefit Model
When an organization is considering multiple projects simultaneously, the Comparative Benefit Model helps senior management select the subset of projects that will deliver the greatest overall benefit to the company.
Since projects often vary widely in nature — some involving new products, others involving IT upgrades, production changes, or unclassifiable initiatives — comparing them objectively can be challenging. There is no strict formal method involved. Instead, the selection committee relies on collective perception and experience to determine which projects will benefit the organization most.
This concept is widely used across industries, including by United States companies evaluating social programs for funding. Senior management reviews all positively recommended projects and attempts to build a portfolio that best aligns with the organization’s objectives and budget.
1.6 The Q-Sort Model
The Q-Sort Model is one of the most straightforward techniques for ranking and ordering projects. The process works as follows:
- Projects are first divided into three groups: Good, Fair, and Poor, based on their relative merits.
- If any group contains more than eight members, it is further subdivided into Fair-Plus and Fair-Minus.
- Once all groups have eight or fewer members, projects within each group are ranked from best to worst.
- A specific criterion may be used by the evaluator, or they may rely on overall general judgment.
In some organizations, one person handles the evaluation and selection process. In others, a selection committee is formed. When a committee is involved, individual rankings are submitted anonymously, and the committee reviews them to reach a consensus. While rankings may vary slightly from one evaluator to another, significant disagreements are rare, as committee members are usually selected based on their alignment with the organization’s values and goals.
Ultimately, projects are selected in order of preference, though they are typically assessed on a financial basis before the final decision is made.
2. Numeric Models (Profit/Profitability)
Numeric models rely on quantitative data and financial metrics to evaluate projects. The majority of organizations use profitability as the primary measure of a project’s acceptability. The following are the most commonly used numeric models for project selection.
2.1 Payback Period
The payback period is calculated by dividing the initial fixed investment of a project by its forecasted annual net cash inflows. It tells management how many years it will take to recover the initial investment.
Formula:
Payback Period = Initial Investment / Annual Net Cash Inflows
Example: If a project costs $200,000 and generates annual net cash inflows of $40,000:
Payback Period = $200,000 / $40,000 = 5 Years
While this method is simple and widely used, it has two key limitations. First, it ignores all cash inflows that occur after the payback period. Second, it serves as a poor indicator of risk. In general, the faster a company recovers its investment, the lower the financial risk.
2.2 Average Rate of Return
The average rate of return is the ratio of average annual profit (before or after taxes) to the initial or average investment in the project.
Formula:
Average Rate of Return = Average Annual Profit / Initial Investment
Example: Using the same $200,000 project with average annual profits of $30,000:
Average Rate of Return = $30,000 / $200,000 = 0.15 (or 15%)
It is important to note that the average rate of return is not simply the reciprocal of the payback period, because average annual profits are generally not equal to net cash inflows.
Both the payback period and the average rate of return are simple to calculate, but neither accounts for the time value of money, which is a significant drawback.
2.3 Discounted Cash Flow (Net Present Value)
The Discounted Cash Flow method, also known as the Net Present Value (NPV) method, addresses the limitation of the previous two models by accounting for the time value of money. It works by discounting all future cash flows back to their present value using a required rate of return.
In the early stages of a project, net cash flow is often negative due to the initial investment. As the project progresses and generates returns, cash flow becomes positive. If the sum of all discounted net present values over the project’s lifetime is positive, the project is considered acceptable.
Example: A project with an initial investment of $100,000, net cash inflows of $25,000 per year for eight years, a required rate of return of 15%, and an inflation rate of 3% per year — when NPV is calculated, the present value of inflows exceeds the present value of outflows, resulting in a positive NPV, making the project acceptable.
2.4 Internal Rate of Return (IRR)
The Internal Rate of Return is the discount rate at which the present value of all expected cash inflows equals the present value of all expected cash outflows. In simple terms, it is the rate at which the project breaks even in terms of present value.
The value of IRR is determined through a trial and error process. A project is generally considered acceptable if its IRR exceeds the organization’s required rate of return.
2.5 Profitability Index
The Profitability Index, also known as the Benefit-Cost Ratio, is calculated by dividing the net present value of all future expected cash flows by the initial investment.
Rule: If the Profitability Index is greater than 1.0, the project may be accepted.
This model is particularly useful when comparing multiple projects with different sizes of investment, as it provides a relative measure of value per dollar invested.
2.6 Other Profitability Models
Beyond the models listed above, there are several variations that fall into three broad groups:
- i) Models that further break down net cash flow into its individual components.
- ii) Models that incorporate specific terms to account for risk and uncertainty in the evaluation.
- iii) Models that expand the analysis to consider how a project may impact other ongoing activities or projects within the organization.
Conclusion
Project selection models are essential tools that help organizations make informed, strategic decisions about which projects to pursue. Non-numeric models like the Sacred Cow, Operating Necessity, and Q-Sort Model rely on qualitative judgment and strategic alignment, while numeric models like NPV, IRR, and the Profitability Index provide measurable, data-driven insights.
The best approach depends on the nature of the project, the available data, and the organization’s priorities. In many real-world scenarios, a combination of both model types leads to the most well-rounded and effective project selection decisions.
By applying the right project selection model, organizations can maximize their return on investment, minimize risk, and ensure that every project contributes meaningfully to their long-term goals.
See Also: Types of Feasibility in Project Management Explained
