A selection model that is broad enough to be applied to multiple projects has the benefit of: A Capability. B Comparability. C Ease of use. D Flexibility.
The correct answer and explanation is:
Correct Answer: D. Flexibility
A selection model that is broad enough to be applied across multiple projects is valuable because of its flexibility. Flexibility means that the model can adapt to different project types, industries, scopes, or goals without requiring a complete redesign. This kind of versatility is especially important for organizations managing diverse portfolios where each project may vary in complexity, budget, risk, and strategic alignment.
A flexible selection model allows decision-makers to compare different kinds of projects using the same framework. Instead of developing a new model every time a unique project arises, the broad selection model can handle new variables or criteria with slight adjustments. This saves time, resources, and confusion while still offering meaningful insights into the merits of each project.
Flexibility also supports growth and change. As an organization evolves, so do its strategic priorities and types of projects. A rigid model might become obsolete quickly, but a flexible one can be adjusted to reflect new business goals, technologies, or market conditions. This long-term adaptability strengthens organizational planning and decision-making over time.
The other choices, while important, do not fully capture the advantage described. Capability refers to the model’s strength or skill in evaluating options, but not necessarily its range of use. Comparability refers to the ability to compare options, but comparability depends more on how the model is applied than how broad it is. Ease of use is important for user-friendliness but does not address the benefit of applying the model across many projects.
Therefore, flexibility is the key benefit of using a broad selection model that works across multiple projects. It allows an organization to make consistent, informed decisions in varying contexts without constantly reengineering its evaluation tools.