Historically, IT projects have focused primarily on functional requirements: what the system should do. Meanwhile, issues of performance, reliability, scalability, availability, security, and maintainability (these characteristics are collectively referred to as 'non-functional requirements', NFR) have long been considered secondary and often not formalized at all.
Ignoring or formally describing NFR leads to significant operational problems: the system may not be ready for expected loads, may fail to withstand cyber-attacks, may be difficult to maintain and scale, or may be unavailable for the required number of users.
A modern systems analyst must initiate, formalize, analyze, and document NFR. This includes:
Key features:
What is the difference between "product quality" and "non-functional requirements"?
Product quality is a broader concept that includes not only formalizable parameters but also subjective assessments (e.g., UX/UI convenience). NFR are clearly measurable characteristics (performance, reliability, etc.) that can be automatically validated.
Can an analyst delegate the identification of all non-functional requirements to an architect?
No, the analyst is obligated to identify these requirements together with the architect and the business during the analysis phase; otherwise, the requirements will be incomplete or described only from a technical perspective without considering business needs.
Can non-functional requirements be formulated only in general terms ("the system should be reliable")?
No, such formulations are not suitable for control and testing. Specificity is required: for example, "the service recovery time after a failure should not exceed 10 minutes."
Negative Case: The national government services portal project did not formalize requirements for peak loads. The system "crashed" on days when popular services were launched, resulting in security incidents.
Pros:
Cons:
Positive Case: An analyst at the start of the industrial automation plant project identified with operations that system downtimes were more critical than new features. He worked on the SLA, emergency scenarios, and defined specific metrics.
Pros:
Cons: