Home / Planning / Why end-to-end (E2E) tests still fail to capture real-world scenarios

Why end-to-end (E2E) tests still fail to capture real-world scenarios

Notebook MacBook Air com código de programação colorido aberto na tela.

End-to-end (E2E) tests have gained popularity among quality teams for their ability to simulate user journeys from start to finish within an application. When done right, they should ensure that nothing slips through the cracks. The reality, however, is different: bugs still escape, and real user experiences often remain uncovered.

What gets left out in traditional E2E tests

Most E2E tests are built on highly scripted flows. The issue here is that systems don’t always behave the same way, and real users rarely follow the exact “happy path” outlined in automation. Simple changes in screens, field names, or even minor business rules often break these scripts. QA teams then need to adjust, rewrite, and rerun tests all over again.

Additionally, these predefined flows overlook the wide range of alternative paths and decisions users make every day. According to the Capgemini World Quality Report 2023-24, over 54% of companies express frustration with tests that can’t keep up with app changes.

Technical and operational barriers

Building and maintaining a reliable suite of E2E tests depends on having highly skilled professionals on the team. These costs time, budget, and creates bottlenecks. As the business grows, rapid changes are needed, yet the test scripts often fall behind. Usually, each team uses its own tool, which fragments the process even further: separate reports, inconsistent quality standards, and a lack of shared best practices.

The cycle continues: every product tweak becomes a headache for QAs, developers, and managers, who end up spending more energy updating automation than improving the app itself. A 2023 GitLab study found that teams spend an average of 38% of their time on manual test maintenance tasks, a direct result of this scenario.

Lack of business insights and big-picture visibility

Even with multiple tests in place, companies still struggle to answer one core question: does what we deliver actually impact the business? Most traditional E2E tools produce technical reports, which are not much help when making decisions or explaining the impact of bugs on sales or user experience.

This lack of visibility can be costly. According to Forrester, 29% of IT managers say they can’t properly prioritize fixes based on business impact, since QA data isn’t connected to strategic objectives.

Hands typing on a laptop near a cup of coffee on a table.

Real-world scenarios require a new strategy

The world has changed. User experience is now at the heart of every battle for relevance. Just automating repetitive tasks isn’t enough anymore. What sets efficient quality operations apart is the ability to organize, centralize, and put these insights into context. Automation needs to be democratized, so professionals from different backgrounds can contribute, and technical data must be translated into genuine business insights.

Where TestBooster.ai comes in

TestBooster.ai steps in to solve this fragmented landscape. The platform centralizes all your QA initiatives, connecting legacy frameworks and tools, while automating tests with AI. A key differentiator is the use of artificial intelligence to turn natural language test descriptions into automated flows, allowing anyone, from IT managers to developers, to create scenarios. There’s no dependency on highly technical profiles to get new flows running.

Our goal-driven tests go a step further, guaranteeing flexibility as your product evolves. If a field changes name or a new step is added, automation understands the context and keeps working. On top of that, detailed results and unified dashboards give everyone a clear view of system quality, whether from a technical or business perspective.

Laptop screen displaying the TestBooster.ai platform, with stationery items, a cup of coffee, and a plant nearby.

The test automation that actually capture real user flows

Making sure real-world scenarios are covered by your tests is non-negotiable. Tools have evolved, so has the way companies view customer experience. TestBooster.ai speeds up this transformation with a platform designed for people. It lets you see end-to-end what really matters for your business, eliminating blind spots and reducing operational risk.

Ready to raise the bar for your software’s quality? Discover TestBooster.ai.

Insights that connect technology, intelligence, and the future of software testing

Formulario TB

Testbooster News
Your source for the best tech news, right in your inbox