Kickstart Automation: Follow These Best Practices

When teams ask, what is a best practice when approaching an automation effort, it’s more than a casual inquiry—it’s foundational to effective QA transformation. Automation can dramatically accelerate delivery cycles, reduce manual errors, and enhance test precision. But without intentionality, it risks becoming expensive code rot. In this guide, we’ll walk through strategies expert teams use to approach automation the smart way.

Why Define Best Practices Before Automating?

Automation isn’t magic—it merely does what you tell it to, faster. Before diving into tool selection or scripting, you need a clear roadmap. Understanding what is a best practice when approaching an automation effort makes a night-and-day difference in outcomes.

Without good practices, automation efforts often lead to flaky tests, outdated scripts, and maintenance headaches. Let’s unpack what matters most.

Start With Clear Business Goals

A vital best practice is aligning your automation strategy with business outcomes. Automation for automation’s sake is a dead end. Ask questions like:

• Will this test help us release faster?
• Does automating this scenario improve user confidence?
• What risks do we aim to reduce with automation?

Rather than automating everything, focus on areas with the most ROI such as regression testing or repetitive, logic-heavy validations.

Learn more about how to create ROI-based frameworks in our post on AI in Testing.

Choose The Right Tools Wisely

Your tech stack should match the project’s complexity and team’s skillset. Selenium, Cypress, Playwright, Appium—they all have tradeoffs. And don’t forget integrations—CI/CD tools, test management, and reporting must work seamlessly together.

Tool Requirements Checklist

• Ease of maintenance
• Community support
• Extensibility / plugin support
• Cross-browser or mobile support (if needed)

If you’re new to automation tools, this Guru99 guide on automation testing provides a good overview of common frameworks and their intended uses.

Design Maintainable Test Architecture

Another top priority in answering the question—what is a best practice when approaching an automation effort—is test structure. How you model your scripts impacts long-term scalability and team productivity.

Page Object Model (POM)

The Page Object Model is a pattern that promotes modular tests. Each page or component has its own class, encouraging separation of concerns and reusability.

Data-Driven Testing

Using external data (like Excel, CSV, or database queries) allows scripts to validate multiple inputs without rewriting tests. This is efficient for boundary testing or large input matrices.

Dive deeper into these patterns in our blog on test automation architecture.

Apply Test Selection Strategy

Not Every Test Should Be Automated

Here’s where most teams trip up. They try to automate every scenario, including exploratory or highly visual UI validations. The smarter approach involves segmenting tests:

• Automate: Regression, smoke, API, performance validations
• Leave Manual: Exploratory, visual layout, one-off UATs

What Is A Best Practice When Approaching An Automation Effort? Balance!

Opt for automation where stability and predictability reside. Don’t waste engineering effort on tests that require frequent human adjustment or that aren’t repeatable. We break this down further in our insights on QA Best Practices.

Integrate Automation Into CI Pipelines

Once you’ve crafted reliable tests, don’t run them in isolation. They should trigger as part of your CI/CD process. Continuous testing ensures immediate feedback on pull requests and deployments.

Popular CI Tools Integration

• Jenkins: Ideal for open-source, customizable pipelines
• GitHub Actions: Great for easy setup and native GitHub flow
• CircleCI or GitLab: Robust Docker support and auto-scaling

Explore integration guides from trusted sources like BrowserStack for detailed instructions.

Track Metrics and Continuously Improve

What gets measured gets improved. Define what success looks like before building a test suite. Some vital metrics include:

• Test pass/failure rates
• Test execution time
• Maintenance frequency
• Coverage against user stories

Use dashboards or tools like Allure, TestRail, or Zephyr. These insights often illuminate not just test health, but the state of the product itself.

Train And Upskill Your Team

Even the flashiest framework fails without skilled operators. A strong upskilling initiative is crucial. Run internal workshops, pair programming sessions, and code reviews dedicated to automation strategies.

Ensure that developers and testers collaborate on script creation. “Shift left” testing must include both parties contributing and learning together. Our Performance Engineering team shares practical examples of shared ownership models that boost test reliability.

Document Everything, Share Knowledge

Even brilliantly written scripts become useless without context. Best practice automation requires excellent documentation. This includes:

• Test case descriptions and goals
• Setup instructions and environments
• Dependencies and known caveats
• How to rerun or debug failing cases

Good documentation accelerates onboarding and debugging. It’s also crucial for audit and compliance in industries like finance or health tech.

Cultivate A Culture of Automation-First Thinking

Remember, automation is part technical, part cultural. High-performing teams bake it into their definition of done, not as an afterthought. Conduct regular retrospectives to refine the approach. Ask hard questions like, “What broke this week and why?” or “Which tests gave us false positives and how can we fix them?”

Conclusion: So What Is A Best Practice When Approaching An Automation Effort?

There’s no single golden rule, but if you’re still wondering what is a best practice when approaching an automation effort, here’s your cheat sheet: align with business objectives, choose wisely, build maintainably, integrate early, and learn constantly. Avoid over-automation, and invest in human learning as much as machine learning. That’s where real ROI comes from.

By starting small and iterating smartly, you not only reduce QA headaches but build a better product for your users.

Frequently Asked Questions

What Is A Best Practice When Approaching An Automation Effort In Agile?

In Agile environments, the best practice is to start automation in parallel with feature development. Align test scripts with user stories, integrate tests into CI/CD pipelines, and review them during sprint retrospectives. This ensures automation evolves with product updates.

How Do I Know Which Test Cases To Automate?

Automate stable, high-volume, or high-risk test cases. Best practice suggests starting with regression tests, login flows, and API validations. Avoid automating tests prone to frequent UI changes or unpredictable outputs.

Why Is Maintenance A Key Best Practice In Automation?

Automation isn’t a set-it-and-forget-it system. Scripts can break with new UI changes or backend tweaks. Regular maintenance prevents flaky tests, reduces developer frustration, and ensures continuous test value over time.

How Do Tools Affect Automation Strategy?

Tools dictate test speed, maintainability, and integration. A misaligned tool can complicate reporting and CI compatibility. The best practice is selecting a tool based on your application type, language stack, and team expertise.

What’s The Role Of Developers In Test Automation?

Modern teams adopt T-shaped roles where developers contribute to test automation. They help with unit tests, CI integration, and writing robust test scripts. This shared responsibility accelerates quality and product readiness.

Is Automating UI Tests A Good Practice?

Automating UI tests can be beneficial for key workflows, but over-relying on them often leads to flaky results. Best practice recommends balancing UI, API, and unit-level tests to reduce execution time and increase reliability.

How Can I Align Automation With Business Outcomes?

Start by mapping test cases to key user journeys or feature KPIs. Prioritize automating flows that impact revenue, reputation, or compliance. Involve business analysts and product owners in defining test scope and purpose.