{"id":4470,"date":"2026-04-20T13:40:54","date_gmt":"2026-04-20T16:40:54","guid":{"rendered":"https:\/\/nextage.com.br\/blog\/?p=4470"},"modified":"2026-04-20T13:40:54","modified_gmt":"2026-04-20T16:40:54","slug":"the-importance-of-assessment-and-discovery-in-software-projects","status":"publish","type":"post","link":"https:\/\/nextage.com.br\/blog\/en\/the-importance-of-assessment-and-discovery-in-software-projects\/","title":{"rendered":"The importance of Assessment and Discovery in software projects"},"content":{"rendered":"

According to the Standish Group CHAOS Report<\/a>, a global reference in IT project analysis,\u00a0 between 2011 and 2015, only 29% of projects were completed successfully. The remaining 71% experienced some type of failure: delays, budget overruns, reduced scope or outright cancellation.<\/p>\n

The question is: why? The answer, in most cases, is not in the development itself. It lies in what happens before it. Or more precisely: in what does not happen. Projects that skip the Assessment and Discovery process reach development with open questions that should have been answered weeks earlier. And every postponed answer becomes rework, cost and delay.<\/p>\n

This article explains what Assessment and Discovery are, why they are decisive for the success of any software project and how a well-structured process works in practice.<\/p>\n

\"Two<\/p>\n

What is Discovery in software projects?<\/h2>\n

Discovery is the initial phase of a technology project dedicated to deeply understanding the problem to be solved before any development begins. It involves investigation, research, stakeholder alignment, requirements mapping and hypothesis validation.<\/p>\n

It is not a list of features. It is not a requirements spreadsheet filled out in an afternoon. It is a discovery process oriented toward answering questions that, if ignored, return as problems: what is the real problem we are solving? For whom? Under what constraints? How will we know we solved it?<\/p>\n

A useful analogy: an architect does not start building without an approved blueprint. More than that, they do not start drawing the blueprint without understanding the terrain, the residents’ needs, the budget and the legal restrictions of the site. In software, Discovery plays exactly that role.<\/p>\n

Discovery vs. requirements gathering: what is the difference?<\/h3>\n

Requirements gathering is a part of Discovery, but not the whole of it. Requirements gathering assumes the problem is already defined and the work is to document it. Discovery questions that assumption.<\/p>\n

During Discovery, it is common to find that the problem described by the client is not the real problem. Or that the imagined solution is not the most appropriate one. Or that there are technical and business constraints that completely change the scope of what needs to be built.<\/p>\n

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This is exactly the process that structures NextAge’s Discovery & Blueprint service<\/a>: before any sprint, we map the business, prototype the solution and deliver a validated execution plan, with a defined scope and complete business case.<\/p>\n<\/blockquote>\n

What about the Assessment? What is its role?<\/h2>\n

If Discovery answers “what needs to be built”, Assessment answers “what is the current situation”.<\/p>\n

Assessment is the diagnosis of the current state. It maps existing systems, identifies operational bottlenecks, evaluates technical debt, documents integrations and raises infrastructure constraints. In corporate software projects, Assessment typically precedes or runs in parallel with Discovery, providing the technical context needed for project decisions to be well-grounded.<\/p>\n

A practical example: a company that wants to modernize a legacy system first needs to map what exists (Assessment) to then define what should be built, migrated or replaced (Discovery). Without this diagnosis, the team enters development without knowing what they will find, and surprises always show up at the worst moment.<\/p>\n

Assessment provides an accurate diagnosis of the current state, enabling the identification of areas that need improvement and helping to define priorities for solutions that truly add business value. In migration and modernization projects, it is especially critical: without it, even the cost and timeline estimate is little more than a guess.<\/p>\n

\"Professional<\/p>\n

Why do software projects fail when they skip Discovery?<\/h2>\n

A classic study by IBM’s Systems Sciences Institute<\/a> showed that fixing a bug found during the testing phase can cost up to 15 times more than it would have cost to identify it during design. If the error only surfaces in production, that cost can reach 100 times more. Barry Boehm, in his seminal work Software Engineering Economics<\/em> (1981), documented the same curve using data collected at TRW and IBM: the cost of a change grows exponentially as the project advances.<\/p>\n

Myers’ Rule of 10 formalizes this: the cost of fixing a defect grows tenfold at each stage of development. An error identified at the specification stage costs 1 unit. In coding, it costs 10. In testing, 100. In production, it can reach 1,000.<\/p>\n

The mechanism is straightforward. When a requirement is wrong from the start, it contaminates everything that follows: architecture, code, tests, documentation. Fixing the requirement at the end means undoing and redoing a significant portion of the work.<\/p>\n

But the data is just the outcome. The causes have more specific names:<\/p>\n