Rethinking QA: Why Software Testing Deserves 3x the Effort, Not the Tail-End of It

QA is Strategy, Not Support

It’s 2025 — and yet, in far too many organizations, Software Testing is still treated as an afterthought. A tail-ending activity. A checkbox task squeezed into tight timelines and tighter budgets after development is “done.”

But here’s a truth we often forget:
Failing to plan for Quality is planning to fail — visibly, repeatedly, and often irreversibly.

Failing to prioritise quality means risking project success.


🛠️ Testing Isn’t Just Finding Defects — It’s Engineering Confidence

Let’s start by reframing what QA really is. Testing isn’t just a hunt for bugs.
It’s about “ensuring“something” “works” “as expected”. Let’s pause on that:

  • “Ensuring” – A proactive act, not passive observation.
  • “Something” – From features to integrations to edge cases; it’s the full picture.
  • “Works” – Functionality, yes — but also performance, usability, scalability.
  • “As expected” – The most subjective, assumption-heavy, and often under-documented component of all.

Different roles touch different parts of this puzzle:

  • Business Analysts clarify what “something” is.
  • Developers focus on ensuring it works.
  • Managers look at ensuring delivery.
  • Testers tackle the most volatile piece: as expected — the user’s voice and silent expectations.

Is it any wonder that this final piece, when rushed or underfunded, risks collapsing the entire effort?


🌀 Manual Testing Is Already Hard. Now Add Automation.

Manual testing, done right, is investigative, exhaustive, and high-responsibility work.
But in today’s world, Automation is essential. Unfortunately, organizations often overlook the scale of effort involved.

Automation is not a time-saver at first. It’s an investment.

Think about it:
Creating a scalable, maintainable, effective automation suite is like building a mini SDLC within the STLC — and that STLC is itself a layer within the larger SDLC.

You need:

  • Test case design
  • Framework selection
  • CI/CD integration
  • Versioning & maintenance
  • Data strategy
  • Skilled test engineers

And yet, it’s common to hear:
“Can we automate this by next week?”, “Finish testing in a week?”
To which the only honest answer is: “Can you build a microservice in 3 days with no specs?”


🎯 Why Testing Deserves 3x the Effort — and Visibility

If development gets its due time for design, coding, and (maybe) unit testing —
Then testing deserves equal attention, if not 3x more.

Why?

  1. Testers are verifying someone else’s assumptions — often without full documentation.
  2. Testers are the last line of defense before the user — the market is ruthless about quality.
  3. Testers validate across environments, configurations, and unpredictable variables.

Project Managers, Delivery Heads, and Developers may often get the glory. But behind every successful go-live, there’s a QA team that safeguarded quality under immense pressure, without ever being in the spotlight.

🚨 QA is not just a checkbox. It’s a strategy.


📢 Final Thought: Quality Speaks Louder Than Code

No matter how sleek the UI, how fast the response time, or how well a product demo goes —
In the end, it’s the quality of the experience that users remember.

It’s time Stakeholders treat Testing and Test Automation not as tail-end tasks, but as core engineering activities — requiring strategy, investment, and leadership backing from Day 1.

✅ Want fewer production issues?
✅ Want to avoid missed business logic?
✅ Want users to love your product?

Then put Quality first — not last.

🧭 A Final Word to Testers, Too

While organizations must stop treating QA as a last-minute checkbox, it’s equally important that testers elevate their own approach.

Quality isn’t just delivered — it’s owned.

Great testers don’t just run test cases and give a green check. They:

  • Challenge unclear requirements
  • Think like users
  • Dig deeper into edge cases
  • Collaborate proactively with devs and BAs
  • Continuously improve automation frameworks

Mediocrity in testing hurts just as much as neglect from leadership.

This isn’t a “Tested-OK” profession. It’s a craft, and it’s time we treat it that way — both inside and outside the QA team.


🔗 Join the conversation. How does your organisation approach QA today? Is it treated as strategic, or still tactical? Let’s change that narrative — together.

#QualityEngineering #SoftwareTesting #TestAutomation #AgileQA #SDLC #STLC #ShiftLeft #DevOps #QA2025 #Leadership #ProductQuality #TestingMatters

The Impact of AI and Leadership


Last Friday, I had a discussion with a former colleague in the US about the dual impact of artificial intelligence advancements and the role of new leadership in US shaping the global economic landscape. Today (just after the long weeknd), I stumbled upon an article that further illuminated the topic: Nasdaq and S&P 500 plunge amidst AI advancements: https://www.9news.com.au/finance/nasdaq-sp-500-deepseek-sends-us-stocks-plunging-on-back-of-chinese-ai-advancement/cf26cf9a-1e4c-4a7a-a342-4ccb723932df

As we navigate the impact of AI advancements and new leadership on the global economic landscape, it becomes clear that staying informed and adaptable is key. One way to ensure we are equipped to handle these shifts is through collaboration and knowledge-sharing. Join us at the Meet & Greet event to connect with like-minded professionals and discuss strategies for navigating the intersection of AI, leadership, and global markets. Let’s work together towards a more sustainable and innovative future.

This article underscores how breakthroughs in AI technology not only transform industries but also influence global stock markets, highlighting the interconnectedness of technological innovation and geopolitical leadership.

The discussion raises critical questions:

How can nations balance collaboration and competition in AI advancements?

What policies should leaders implement to ensure stability while fostering innovation?

The rapid pace of change requires businesses and professionals to stay informed and adaptable. I’m curious to hear your thoughts on how we can navigate these shifts collectively.

Let’s continue the conversation—share your insights below! Not to forget join me & others at the Meet & Greet event: https://www.meetup.com/software-test-automation-group/events/305768648 or https://test-fast.com/event/stag-meetgreet

Comprehensive Guide to Test Automation Tools

Description : 

Explore the best test automation tools and their features. Learn how test automation tools can streamline your testing process and improve software quality. Discover how to choose the right test automation tool for your needs.

Comprehensive Guide to Test Automation Tools: Everything You Need to Know

Introduction to Test Automation Tools

In today’s fast-paced software development environment, ensuring high-quality software delivery is paramount. Test automation tools play a crucial role in this process by enabling efficient and reliable testing. This comprehensive guide covers everything you need to know about test automation tools, from their benefits and challenges to popular tools in the market and best practices for implementation.

What Are Test Automation Tools?

Test automation tools are software applications designed to automate the testing process of other software applications. They perform repetitive tasks, execute predefined test cases, and compare actual outcomes with expected outcomes without human intervention. This ensures that software behaves as expected and meets quality standards.

Benefits of Using Test Automation Tools

  • Speed and Efficiency: Automated tests run faster than manual tests and can be executed repeatedly at any time.
  • Consistency: Automation ensures that tests are executed consistently, reducing the risk of human error.
  • Cost Savings: Although there is an initial investment, automation reduces long-term costs by minimizing manual testing efforts.
  • Coverage: Automated tests can cover more scenarios and use cases, ensuring comprehensive testing.
  • Reusability: Test scripts can be reused across different projects and versions, enhancing productivity.

Challenges in Test Automation

  • Initial Cost: High initial investment in tools, training, and setup.
  • Maintenance: Automated tests require regular updates and maintenance to remain effective.
  • Complexity: Setting up and managing test automation can be complex, requiring skilled personnel.
  • Tool Selection: Choosing the right tool that fits the project’s needs can be challenging.

Common Features of Test Automation Tools

  • Test Execution: Ability to run tests automatically.
  • Test Reporting: Generation of detailed reports on test results.
  • Test Management: Organize and manage test cases and test data.
  • Integration: Integrate with other tools such as CI/CD pipelines, version control systems, and issue trackers.
  • Support for Multiple Platforms: Ability to test across different platforms, such as web, mobile, and desktop applications.

Types of Test Automation Tools

  • Code-driven Test Automation Tools: Tools that allow writing test scripts in programming languages.
  • Graphical User Interface (GUI) Test Automation Tools: Tools that simulate user interactions with the application’s GUI.
  • Mobile Test Automation Tools: Tools specifically designed for testing mobile applications on different devices and operating systems.
  • API Test Automation Tools: Tools that test the application’s APIs to ensure they function correctly.
  • AI-Powered Test Automation Tools: Tools that use artificial intelligence and machine learning to enhance test automation capabilities.

Factors to Consider When Choosing a Test Automation Tool

  • Ease of Use: User-friendly interface and ease of setup.
  • Cost: Initial cost and ongoing maintenance costs.
  • Integration: Compatibility with existing tools and systems.
  • Support and Community: Availability of support and active community.
  • Scalability: Ability to handle increasing test loads and complexities.

Popular Test Automation Tools in the Market

  • Selenium: An open-source tool for automating web browsers.
  • Cypress: A modern end-to-end testing framework built for the web.
  • Playwright: A tool by Microsoft for end-to-end testing of web applications.
  • Appium: An open-source tool for automating mobile applications.
  • Postman: A popular tool for API testing.
  • Testim: An AI-powered test automation platform for web applications.
  • Applitools: A tool for visual AI testing and monitoring.
  • Katalon Studio: An all-in-one test automation solution for web, API, mobile, and desktop testing.

Best Practices for Test Automation

  • Start Small: Begin with automating a few critical tests and gradually expand.
  • Maintain Tests: Regularly update and maintain test scripts to reflect changes in the application.
  • Use Version Control: Store test scripts in version control systems for better management.
  • Integrate with CI/CD: Integrate test automation with Continuous Integration/Continuous Deployment pipelines for continuous testing.
  • Monitor and Report: Regularly monitor test results and generate detailed reports for analysis.
  • Leverage AI: Utilize AI-powered tools to enhance test coverage, accuracy, and maintenance.

Conclusion

Test automation tools are essential for modern software development, offering numerous benefits such as speed, efficiency, and comprehensive test coverage. However, they also come with challenges that need to be managed effectively. By understanding the different types of test automation tools and following best practices, organizations can significantly improve their testing processes and software quality.

For more detailed information on each tool and best practices, stay tuned to our blog and resources page.