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5 Common Test Automation Pitfalls (and How to Avoid Them)

28 April 2025

Why Test Automation Fails—and What to Do About It

In the world of digital lending, quality assurance is non-negotiable, and avoiding test automation pitfalls is key to staying competitive. Automated testing promises faster cycles and fewer errors, but too often, it fails to deliver.

According to industry studies, more than 60% of test automation efforts fail to meet expectations. Why? Because automation is only as effective as the strategy behind it.

At Razorvision, we help lenders avoid these mistakes by aligning testing frameworks with broader technology and data goals. Below, we break down the five most common test automation pitfalls—and how to avoid them.

1. Automating Poorly Designed Test Cases

One of the most common test automation pitfalls begins with the test cases themselves. Automating flawed or unclear tests only increases risk. Your scripts might run, but the insights they generate won’t be reliable.

What to do instead:
Start with well-structured, scenario-driven test cases. Our Data and Technology teams work with you to align automation with functional and business requirements so your tests produce meaningful insights.

2. Choosing the Wrong Tools and Frameworks

Another frequent test automation pitfall is misalignment between tools and your team’s skill sets or system architecture. Not every tool fits every project.

What to do instead:
Define your automation needs based on test types, integration requirements, and staff expertise. Razorvision helps clients select and maintain frameworks that fit their environment and goals.

3. Testing in Unstable or Shared Environments

Running automated tests in volatile or shared environments is a major test automation pitfall that leads to inconsistent results and wasted effort.

What to do instead:
We help you establish stable, dedicated test environments, improving accuracy and reducing false negatives.

4. Lacking a Clear Test Strategy

Without a test strategy, automation efforts tend to be reactive and incomplete. Teams waste time automating low-value features or misaligning test outcomes with business goals.

What to do instead:
Develop a formal QA strategy that maps to your digital lending workflows. We guide you in identifying scope, prioritizing tests, defining exit criteria, and integrating results with your larger DevOps or CI/CD strategy.

5. Missing Requirements Traceability

As applications grow, your test suite needs to evolve with them. If you can’t trace a test back to a specific requirement, you risk testing outdated or irrelevant functionality.

What to do instead:
Razorvision’s QA methodology includes built-in traceability between requirements, test cases, and results. That way, your testing remains current, actionable, and aligned with your product roadmap.

Better QA, Smarter Lending

Digital lending products require speed and precision. QA isn’t just a back-office task—it’s central to product performance, user trust, and regulatory compliance. Razorvision helps financial institutions elevate their quality assurance through expert test automation strategy, smart tooling, and aligned execution.

Learn More About Razorvision’s Services

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