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Finding the Right Balance Between Automated and Manual Testing

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Key Takeaways

  • Companies need to find a balance between time spent automating and time saved on manual testing by focusing on the most crucial cases.
  • Determining priorities requires an understanding of the severity and probability of fault associated with each test case.
  • Following the 80/20 rule helps to achieve most of the meaningful results without excessive spending by leaving out the most time-consuming tasks.

 


Test automation is a powerful tool—and often essential—but it shouldn’t be your only strategy. In this post, we explore how QA teams can strike the right balance between automated and manual testing to improve efficiency, reduce risk, and ship higher-quality software.

There is a natural desire to automate everything when starting a project or working on a new testing strategy. Although it is technically possible to minimize or even fully eliminate the manual component in most parts of the testing process, going this far is usually not worth the effort.

In an ideal world, a company would have a fully automated pipeline to test every functional and non-functional aspect of its software product. But is that the best approach? A hobbyist programmer might choose to spend a week automating a task that only takes half an hour to do manually. Competitive businesses, however, do not always have this kind of luxury. Sometimes manual testing is the right way to go. 

Why Full Automation Isn’t Always Practical

The amount of time and resources needed for automation varies greatly from one test case to another. While small unit tests can usually be covered by an off-the-shelf tool or a simple script, properly testing an entire system will likely require a custom solution, which can be costly to develop.

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The time saved by automating different test cases is often disproportionate to the time spent doing so. When deciding what to automate, it can be helpful to remember the 80/20 rule. While 80% of results can be achieved with 20% of the work, getting that last 20% can easily take up 80% of the effort.

Balance Between Automated and Manual Testing-1

Of course, this ratio will change from project to project, but the importance of comparing how much time automation can save to how long it will take stays the same. Sometimes leaving a few manual workflows in place can help to release a product sooner. The following three steps might help leaders find the optimal mix of manual and automated testing.

1. Compare the Benefits of Each Approach

When deciding between automated and manual testing, evaluate the benefits that come with both options. For example, automating tests that take the most time to do manually tends to be a good choice because it can save a substantial amount of effort for the QA team.

Automating a frequently used test case that will remain relevant throughout a product’s life cycle is probably a safe bet, too, even if it takes a relatively long time to develop. This is especially true for tests that run across several software or hardware platforms.

Any cases that require a lot of manual input and are therefore sensitive to human error should also be a high-priority candidate for automation.

Performance testing is another area that benefits greatly from automation due to the large volume of data generated at this stage. A specialized benchmarking tool can track a system’s speed, responsiveness, latency, and resource usage over time under various conditions, making it easier to identify and subsequently eliminate bottlenecks.

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2. Evaluate the Risks of Automation vs. Manual Testing

The business value a company can expect to gain from automation can change depending on the risks associated with each test case. Therefore, it is vital to understand the liabilities that come with the two approaches.

A bug that makes a certain feature on an application completely unusable can do a significant amount of damage and alienate a percentage of users, even if it is fixed in a single day. A minor graphical glitch, on the other hand, is unlikely to cause problems of the same scale.

To accurately determine the severity of potential issues, organizations need to have a solid understanding of their users’ needs, as well as knowledge of possible workarounds that can be put in place quickly if an important part of the system fails.

Balance Between Automated and Manual Testing-2

3. Define Your Testing Priorities

As it is usually impossible to automate every stage of the testing process while maintaining a reasonable timeline and budget, businesses need to compromise. Deciding which cases can remain manual requires careful consideration.

To understand the relative importance of each test case, it can be helpful to consider the following questions:

  • How often do we run this test?
  • What is the probability of fault?
  • Would a fault severely affect the user experience?

Preparing a list of cases and organizing them in order of importance helps balance manual vs. automated testing by outlining the minimal automation needed to ensure an acceptable level of reliability. Having worked through the critical cases, a company can launch the product without major risks or delays.

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It’s Never Too Late to Automate

Balancing automated and manual testing allows you to release faster without compromising quality. Post-launch, you can expand automation to reduce maintenance and support continuous delivery.

This staged approach helps your team deliver value early—and often—without sacrificing stability.

Are you interested in implementing test automation for your warehouse management system? Explore our success stories, read more blog posts, or learn about the Cycle platform.

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COST CALCULATOR
Manual Testing:
How Much Is It Really Costing You?

Test automation is the backbone of any successful enterprise testing strategy – especially as enterprise systems continue to rapidly evolve. However, implementing test automation requires commitment and investment. How do you justify it?
 
This calculator estimates how much money you spend on manual testing currently as a starting point for building a business case for switching to automated regression testing using the Cycle® platform.

Regression Testing Cost Calculator
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