Manual testing is the "default" kind of testing. Opening up a website and simply clicking on a button to see if it works already counts as manual testing.
In this article, we'll explore the concept of manual testing and what makes it different from its counterpart (automation testing).
Manual testing is a testing approach where testers manually interact with software/app to check its quality without the help of automated testing tools or test scripts.
Manual testers interact with the system like how an end user would to identify bugs in the software that can create friction in the user experience.
For large-scale testing project where there are thousands and millions of items and features to test, QA teams usually automate their work to boost efficiency. However, manual testing is still needed for scenarios where it's impossible to automate.
Any type of testing can be executed both manually and with the help of an automation tool. The final decision to choose which approach lies in the nature of that specific test case.
However, there are some testing types that usually can't be automated, and must be done manually. They are:
To be human is to be creative and intuitive, and in certain types of testing those 2 factors are a must-have.
Manual testing allows testers to ask questions like “What if I do it this way?”, and this liberty of experimentation is something automation testing just won’t be able to deliver.
Remember: automation testing only follows a predetermined set of test steps. It can only do what we script it to do. Meanwhile, manual testing allows testers to do whatever they want, including breaking the app, which usually reveals bugs nobody knows to have existed in the first place.
Let's take a look at this Venn diagram to better understand Manual Testing:
We start with the Unknown Known, meaning we only think a feature might be broken.
After testing, we reach the Known Known. We now know for sure whether the feature works or not. This is as far as automation can go because it only follows predefined steps.
Manual testing goes further by encouraging curiosity. A tester might ask, “What happens if I click this button 100 times?” By experimenting in unexpected ways, they can uncover Unknown Unknown. They are bugs that no one knew existed until someone tried something unusual.
If you want to witness the power (and joy) of manual testing, check out the Let's Game It Out channel. The man behind the channel plays games, but he always interacts with it in the most boundary-breaking ways to uncover bugs in it:
Manual testing is flexible. If the requirements change, testers can quickly adjust their approach without needing to update scripts or code. This makes it easier to test new or modified features on the spot.
To do manual testing is to experience the application in the same way an end user would, and almost anyone can become an end user.
Of course, manual testers must have enough technical knowledge and experience to know how to best “break” the app, but other than that they don’t need programming skills or engineering expertise to create test scripts like an automation tester. The low learning curve of this approach allows teams to start testing quickly at limited resources.
One of the biggest challenges for teams adopting automation testing is the ongoing maintenance effort it requires. When code changes, test scripts often need to be updated as well, otherwise they quickly become outdated and unreliable.
That is not an issue with manual testing, since each test execution is a new execution.
Manual testing requires testers to execute each and every step manually. It is fine for small projects, but for those with hundreds to thousands of test cases, manual testing is just counter-productive.
Moreover, humans cannot process data as fast as machines, and we are prone to fatigue and distraction. If a mistake occurs, testers must repeat steps, further extending the testing time.
Each manual test execution is independent. A new execution requires testers to repeat all steps from the beginning. This leads to:
While manual testing does not require specialized tools or scripting, the long-term cost can be high due to the need for more testers, longer testing cycles, and repeated effort for the same test cases. Companies often underestimate these costs when scaling their testing process.
📚 Read More: How To Calculate Test Automation ROI?
Manual testing takes longer to identify and report defects. Since execution is slower, bugs may be discovered late in the development cycle, increasing the effort required for debugging and fixing them. This delay can impact release schedules and software quality.
Manual testers follow the Software Testing Life Cycle to check the system.
📚 Read More: How to execute tests?
Automation testing involves executing test cases automatically either through reusable test scripts or with the help of automation testing tools. It is the much needed counterpart of manual testing.
Both manual testing and automation testing have their strengths and weaknesses. In practice, a combination of both approaches often yields the best results, with manual testing for exploratory and usability aspects and automation testing for repetitive and resource-intensive tasks.
You can have a look at the table below to better understand the differences between the 2 approaches:
Aspect |
Manual Testing |
Automation Testing |
Tester Involvement |
Human testers execute test cases manually. |
Automated tools execute test cases automatically. |
Test Case Execution |
Test cases executed manually without tools. |
Test cases executed by automation scripts. |
Suitable for |
Exploratory testing, usability testing, |
Regression testing, performance testing, |
Testing Types |
Ad-hoc testing, small projects. |
Large-scale testing, repetitive tasks. |
Human Intervention |
Requires human intervention for each test case. |
Limited human intervention after script setup. |
Error Prone |
Prone to human errors and subjectivity. |
Reduces human errors, increases repeatability. |
Project Scale |
Suitable for small projects or when test cases change frequently. |
Suitable for large and complex projects with consistent requirements. |
Efficiency |
Time-consuming for repetitive or large-scale testing. |
Efficient for repetitive tasks and regression testing. |
Initial Setup |
Simpler initial setup; doesn't require scripting skills. |
Initial setup requires scripting skills and may take longer. |
Adaptability |
Offers more flexibility in adapting to changes. |
Less adaptable to changes in the application. |
Speed of Execution |
Slower compared to automated testing. |
Faster test execution once scripts are set up. |
📚 Read More: Manual Testing vs Automation Testing
Based on the nature of manual testing, here are the scenarios it is best suited for:
Exploratory testing that relies on creativity and intuition
Usability testing where human judgment is required
Ad‑hoc testing with undefined or frequently changing test cases
Early development stages when features are unstable
Short‑lived features or one‑time tests that don’t justify automation
Visual validation of layout, design, or user experience elements
Situations where testers need to think like end users and experiment freely
Many testers fear the rise of automation and AI, saying that it is going to replace them. However, that is far from the truth. Check out what Christiano Caetano, founder of Zephyr, thinks about this topic:
To ensure that the manual testing process go smoothly, the QA team should have solid test management practices in place. Google Sheet has a default template for test management that you can use for reference.
Why this sheet works:
Note: this spreadsheet is only suitable for small-scale testing project. For large-scale testing project, it is recommended to have a dedicated test case management system.
Popular test case management tools include:
Katalon is a comprehensive quality management platform supporting test management for both manual testing and automation testing on web, API, mobile across a wide variety of environments, all in 1 place, with minimal engineering and programming skill requirements.
Katalon is a great addition to your manual testing tech-stack, helping you manage your day-to-day testing activities such as: