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You’ve probably heard that every hypothesis needs to be validated. That’s true in science—which requires countless tests before reaching a conclusion—and in the life of companies that sell innovative products and services.

After all, without knowing exactly how and why the market will embrace something, it’s impossible to develop it correctly.

The “cherry on top” here is the possibility of validating a project in stages—something common in IT—instead of waiting for everything to be finished and only then adjusting a few points.

Every time an IT team develops a project, they run validations during test periods to demonstrate the quality and functionality of what’s being built.

After dedicating effort, intellectual capital, time, and money to a new solution, it’s only fair to ensure—at minimum—that the final result is presented with as few flaws as possible.

That’s what we call partial validations.

What are partial validations?

Validating a test method is a process that ensures the approach used in a given experiment is suitable for its intended use. Partial validation, therefore, is applying that method at each stage of the proposed work’s development.

These validations result in documented evidence, built from a series of experiments on the procedures, materials, and equipment that make up the method being validated.

Widely used in science—especially in organizations involved in biological sample tests and pharmaceutical products for research, development, and manufacturing of medicines for human use, as well as laboratory analyses—partial validations can also be useful for information technology teams and can be considered for other business and development routines that require consistency and precision.

The results obtained in these partial tests go through statistical analysis by the teams involved. They are evaluated against a set of predefined acceptance criteria designed to demonstrate the effectiveness of the results produced by the method during routine sample analysis.

To fully understand the importance of partial validations, we first need to define analytical validation: a method that, through experimental trials, confirms and provides objective evidence that specific requirements for the intended use are met.

In other words, there is a project under development and this approach can assess whether it succeeds or not, according to the objective of the test.

Partial validation, in turn, demonstrates—through certain parameters—that the analytical method has the characteristics needed to obtain results with the required quality under the conditions in which it is performed. This means these validations won’t simply attest that a project “works,” but rather that the attributes used for that purpose create favorable conditions for that outcome.

How partial validations apply to IT projects

There are specific standards and processes for standardizing laboratory tests because, without such requirements, it would be impossible to guarantee neutral analyses of performed exams.

The main function, in this case, is to ensure a single, internationally consistent interpretation of variables, producing more accurate results and fewer divergences.

In the IT market, there are companies specialized in quality control and management focused on laboratory accreditation, which is the evaluation of a laboratory through audit—and quality certifications.

To help these organizations maintain reliability and quality across all phases and processes of their experiments, software and applications can be developed to improve the performance of partial validations.

Bringing this idea to other areas: have you ever thought about how helpful it would be to have a tool that maps all your company’s processes? It would make life easier for the professionals responsible for them while ensuring more credibility and productivity throughout the project development chain—making outcomes more reliable and, consequently, better positioned in the market.

Does your company need more security in partial validations? Creating dedicated software for this could be the solution—and even a great market opportunity.

To learn more, talk to X-APPS! We have the right solution for your validation process.