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AREProgramming & Analysis

Making Feasibility Recommendations: Scope Adjustments, Value Analysis, and Alternatives

Comparing available project information such as master plans, existing documentation, program requirements, and site data against the client's budget and schedule to determine feasibility, then providing recommendations including scope adjustments, value analysis, and alternative approaches when the project cannot be delivered as originally programmed.

2 min read225 words

Making Feasibility Recommendations When Budget and Scope Collide

You've gathered the program, analyzed the site, and run preliminary cost estimates. The numbers don't work. The client's budget can't support the full scope as programmed. Now what?

This topic covers the architect's role in comparing project information against budget and schedule constraints, then making concrete recommendations when something has to give. That means understanding scope adjustments, value analysis (sometimes called value engineering), phased delivery alternatives, and the tradeoffs each option introduces.

On the ARE, Objective 4.5 tests your ability to review and assess feasibility by matching project scope to available resources. The cognitive level is U/A: you need to understand these concepts well enough to apply established procedures to specific scenarios. You won't be asked to invent a new budgeting method. You will be asked to recognize when a project is over budget, identify which recommendation fits the situation, and understand the consequences of each choice.

Value analysis stands at the center of this topic. It's not cost-cutting. It's a systematic method for achieving required functions at the lowest life-cycle cost without sacrificing quality. That distinction matters enormously on the exam. Scope adjustments, phasing strategies, and alternative building systems round out the toolkit architects use when the original program exceeds what the budget can deliver.

The through-line: architects don't just identify problems. They recommend solutions grounded in data, program priorities, and the client's constraints.

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