Reality vs. requirements: How to align tests with real user behavior

Key takeaways

• There’s a better way to build tests. Conventional scripts focus on technical specs instead of how people actually use software, creating flaky tests that break with every UI change.
• Model-based testing follows real user journeys. Tools like Business Flows in Tricentis Tosca’s cloud deployment build tests around user paths, not system architecture.
• Quality ownership is evolving. This modular approach lets business analysts, QA professionals, and others create tests, expanding who can contribute to quality.

The test creation identity crisis

Not long ago, the answer to who writes tests was simple: the quality assurance (QA) engineer does. They sat downstream of development, received a build, and translated requirements into scripts. It was a defined role with a defined output.

That clarity is gone.

In 2026, the person or system responsible for test creation might be a business analyst (BA) mapping out a customer journey, an AI agent expanding test coverage overnight, or a QA engineer who hasn’t written a traditional script in months. In many modern teams, it’s all three, working in parallel, sometimes without ever directly collaborating.

This represents an evolution in how teams approach quality. It raises the question: If the test reflects what real users actually do, does it matter who writes it?

The answer reframes everything — how tests are designed, who gets to participate in that design, and which tools make the whole system work. This article explores that shift in practice, using Tricentis Tosca’s cloud deployment as a lens for understanding where test ownership is heading, and why it’s so difficult to match test design with real human behavior.

Why test design has always been the hard part

Join the webinar, Business-driven testing: How to write tests that speak the language of your organization, to learn how to write better tests for real-world scenarios.

Many teams assume that the hard part of software testing is automation. Get the scripting right, the argument goes, and everything else follows. But experienced testers know the real bottleneck is knowing what to test in the first place.

Test design means deciding which scenarios matter, which user paths carry the most risk, and which edge cases are genuinely likely. This requires a kind of judgment that goes beyond code. It requires understanding the business, the user, and the gap between how a system was built and how it’s actually used.

That gap is where most test suites fail. Tests written from the system’s perspective — based on technical specifications, API contracts, or database schemas — tend to cover what developers built rather than what users experience. They pass when the system behaves as designed, but don’t often account for real user behavior.

This is why the shift toward model-based testing matters. Model-based testing tools, like Business Flows in Tosca’s SaaS option, build tests around user goals rather than system functions. Instead of asking what the system does, the model-based approach asks what a user needs to accomplish. It then builds tests around the answer.

Business Flows: Designing tests that mirror reality

At the heart of Tosca’s model-based approach is a concept that sounds deceptively simple: the Business Flow.

A Business Flow is a reusable representation of a real process. It’s not a technical sequence of UI interactions. Instead, it’s a meaningful user journey with a beginning, a goal, and an observable outcome. Examples include a customer applying a promotional code during checkout or a claims adjuster submitting a first notice-of-loss form. These are things users actually do. Their failure modes matter to the organization, not just to the QA team.

What makes this different from a conventional test script? Modularity and intent.

In Tosca’s model, teams compose these real-world flows from smaller, reusable units called modules. Each module represents a discrete action within a larger journey. For example, a module might represent the action of logging in with valid credentials. This module can be reused across dozens of flows without being rewritten. And if the login screen changes, the team updates the module once, and every flow that depends on it inherits the fix automatically.

This creates engineering efficiency. But the more important shift is conceptual: the flow is designed around what the business does, not what the system exposes.

A traditional script might assert that a button exists, that a field accepts input, or that a confirmation page loads. A Business Flow asserts that a customer can complete a purchase. It doesn’t depend on which specific UI elements were involved, only that the outcome was achieved. This means the test stays valid even as the interface evolves, as long as the underlying business capability remains intact.

Read more: Download this eBook for more information about Tosca’s cloud deployment, model-based testing, and Business Flows.

Who builds the flow? The expanding circle of test ownership

The shift from system to user-centric testing changes not just how tests are written, but who is qualified to write them.

The QA engineer: From script author to flow architect

The QA engineer doesn’t disappear in Tosca’s module-based approach. Instead of spending the majority of their time writing and maintaining scripts, they become the architect of the flow library: deciding which Business Flows need to exist, how they should be structured, what coverage they collectively represent, and how they map to risk.

The business analyst: Domain knowledge becomes executable

The BA has always been the person in the room who best understands what the software is supposed to do from a business perspective. Tosca’s no-code test design capabilities mean that knowledge can now be expressed directly as tests — without requiring the BA to learn a scripting language like Python or depend on a QA engineer to translate their understanding into automation. This is a meaningful shift in ownership, and it closes a long-standing gap where requirements moved from the BA to several other teams before becoming executable tests.

The AI agent: Regression at scale, autonomously

Once the QA engineer establishes the flow library, AI agents handle the scale problem. They run regression coverage autonomously, flag flows that are at risk based on code changes, generate variants to test edge cases, and surface gaps in coverage that human reviewers are unlikely to catch in a sprint cycle.

This is the new division of labor that defines modern QA: humans set intent and govern quality, while AI agents execute coverage at scale.

Tosca in the cloud is the shared workspace where the three roles meet — the platform that makes no-code authoring accessible to the BA, provides the model-based architecture that the QA engineer governs, and gives AI agents a structured library of flows to operate on.

The test is the conversation

There is a version of this story that’s told as a disruption narrative: AI is coming for QA jobs, no-code tools are making engineers redundant, the traditional tester is fading away. That misses the point.

Here’s what’s actually happening: the definition of “quality work” is shifting from execution and script maintenance to coverage strategy and collaborative authorship. The people who thrive in this environment are the ones who best understand what the software is supposed to do for the humans who use it. Model-based testing and Business Flows make it easier to write real-world tests and brings teams together to build better, more reliable software.

Join the webinar

Interested in learning more? Attend our webinar, Business-driven testing: How to write tests that speak the language of your organization, to see Business Flows in action.