Software testing is the discipline of checking deliberately whether software works as intended and finding bugs along the way. Good testing starts with clarifying the assignment: what is being tested, and what should come out of it? Bugs are not a flaw but a source of learning that helps both product quality and development processes grow.
Key Takeaways
- Clarifying the assignment is the basic prerequisite for meaningful testing: if you don’t settle what is to be tested and which result is expected, you end up solving a different problem than the original one.
- Bugs found late in a project cost much more, because development, design and testing then have to be reopened.
- A core skill of testers is recognizing relevance: quickly grasping what matters in an unfamiliar system and where to put the focus.
- Learning from mistakes means two things: product defects improve the software directly, process errors show where the process itself gets stuck, and both are rarely reviewed systematically.
Software Testing Is a Blind Spot for Outsiders
Many people don’t even know that software testing exists. They imagine software gets developed, and then it’s just there and runs. That there are teams and specialists in between, checking whether the software really works, doesn’t fit into that picture at all.
People who have nothing to do with IT usually think of programmers or developers when they think of software, often along with the nerd cliché. Testing doesn’t show up in that picture. It is expert work that happens in the background and stays invisible.
Yet there is real expertise in it. Checking whether something runs is only part of it. It’s about finding bugs, asking the right questions and writing the right tests. The work is demanding, even if it is barely noticed from the outside.
Why Clarifying the Assignment Decides Success in Software Testing
Before any testing starts, it has to be clear what is being tested. This is exactly the step that software development often skips. Things get checked, requirements get ticked off, but the why stays vague.
Coaching has a well-established process for this. A client comes in with a concern and tells their story, and then comes a large section called clarifying the assignment. That is where you pin down what the problem actually is, where the journey should lead and how success will be measured. The same logic applies to testing: what do we want to prove, and what should come out of it in the end?
Without that clarity, testing just starts blindly. Problems then surface late, often only toward the end of a project. That is exactly when it gets expensive, because things have to be redeveloped or redesigned.
“The whole point of quality assurance is to prove certain things, and those have to be clear early on.”
(Richard Seidl)
The Map Change: When the Wrong Problem Gets Solved
In coaching, a map change describes the moment when the level shifts without anyone noticing, and in the end a different problem gets solved than the one agreed on. The result can sound appealing and still miss the assignment.
An example makes this concrete. A client wants to lose weight, and the goal is defined cleanly: how much, by when and how they will notice. If the process ends not with the target weight but with the insight “I can love myself just the way I am,” the level has shifted. The original assignment remains open, and the problem is very likely to come back.
For software projects, this means: if you’re sloppy about clarifying the assignment, you risk finding out late in the project that the work has missed the actual goal. The more carefully the assignment is clarified at the start, the smaller that risk.
Recognizing Relevance Is the Core Skill of Good Testers
Good testers quickly recognize what is relevant and where the focus needs to be. They walk into unfamiliar territory, see through structures and processes and know what matters, even when the field is new to them.
It is a bit like finding your way around a large, unfamiliar airport. While some people are still looking for the departure board, others are already heading in the right direction. This ability to spot relevance right away carries over into many situations, including conversations, where it quickly becomes clear what belongs to the topic and what doesn’t.
A second strength is recognizing patterns and algorithms. Testers see through systems and their architecture and apply classic bug traps they know from experience to new contexts. That is where the right questions come from.
Talent Is Only the Icing on the Cake, the Rest Is Practice
Talent alone doesn’t make a good tester. As with any top performance, it is the smaller part. In sports, it’s training and discipline. In testing, it’s mainly practice and experience.
People who get into a new topic quickly usually don’t draw on memorized facts but on a well-trained approach. Skim a few pages, grasp the pattern, explain the topic: that works because years of testing and problem-solving have built up the routine. This routine makes up for knowledge you would otherwise have to learn by heart.
Exchanging ideas across disciplines broadens that experience beyond your own field. Stories from other domains bring new perspectives that can be applied to your own work.
Bugs Are Helpers, Not Flaws
People learn the most from mistakes. A child learns to walk by falling down and getting back up, without seeing the fall as failure. As we grow up, and in our society in general, that attitude often flips: mistakes become flaws that must not happen.
In testing, working through bugs directly improves quality. It pays to put energy into the root cause instead of building workarounds. Patching over a problem instead of properly understanding what’s going wrong only moves the problem somewhere else.
Photoshop shows this mechanism from a user’s point of view. Over the years, the software became more and more bloated and sluggish, because features were apparently just stacked on top instead of being worked through properly. Leaner competing programs suddenly ran fast and light. Taking bugs and maintainability seriously helps avoid that path.
Product Defects and Process Errors Need Different Answers
When learning from mistakes, it helps to tell two kinds apart. Both often just get pushed into the backlog and are rarely looked at again, even though both hold a lot of learning potential.
| Type of error | What it means | What helps |
|---|---|---|
| Product defect | Actual bugs in the software | Fix them and improve the tests to catch them earlier |
| Process error | Points where the process gets stuck | Retrospectives, looking at root causes, improving the process |
Agile has shown over the last few years how valuable it is to look at process errors. Retrospectives reveal where the approach gets stuck and make the next iteration better.
Both types come down to the same question: where do the errors come from, and how can we reduce them in the future? You will never stop them completely, but you can always get better.
The Trade-Off Between New Features and Maintainable Software
Projects face a constant conflict: building new things versus maintaining what exists. The market and customers want new features, while the software has to stay maintainable.
The real task is to keep a balance between the two. Neglect maintainability, and at some point you are sitting on a monster that no longer works well. You can see this pattern in many companies.
What Real-World Use Teaches Testers Can’t Be Planned in Advance
Some insights only appear when users work with the software for the first time. That’s when you see where they click and what they do, and the whole project team is surprised by things nobody had thought of.
The common reaction is a reflex: everything has to be specified, everything nailed down in detail. That rarely gets you much further. It makes more sense to get into the interaction earlier and watch what users actually do with the software.
Situations like these teach more than any detailed plan. No amount of time and budget lets you predict which device, which input or which detour a user will choose. The comparison with raising children fits: you can’t play through every possible mistake in advance. You hold the frame and deal with the mistakes when they happen.
Frequently Asked Questions
Why isn’t it enough to just start testing?
Without a clear mandate, you’re testing blindly. Before the first test, it must be established what is being tested, what needs to be verified, and how success will be measured. It is precisely this step that is often skipped in projects: Requirements get checked off a list, but the “why” remains vague. The result is problems that aren’t noticed until it’s too late, when fixes are costly.
Is software testing just about checking whether an application works?
No. Testing means systematically finding bugs, asking the right questions, and writing appropriate tests. Behind this lies expertise that is rarely recognized from the outside: Many people imagine that software is developed and then simply runs. The fact that specialists check in between to see if it really works falls outside this picture.
When do bugs in a software project become particularly costly?
Late. If a problem isn’t discovered until near the end of the project, development, design, and testing must be restarted from scratch. This happens especially when it wasn’t clarified at the beginning what exactly needs to be verified. The clearer the scope is at the start, the lower the risk of missing the actual goal.
How can you tell if a project is missing the actual target?
By the fact that the result sounds plausible but does not match the agreed-upon scope. In coaching, this is called a “map change”: Someone wants to lose weight; the goal is defined in terms of amount and timeline, but in the end, they realize they can love themselves just as they are. The original objective remains unaddressed, and the problem resurfaces.
Do you need talent to be a good tester?
Talent is just the icing on the cake. Practice and experience make up the bulk of it, just like training and discipline in sports. Those who quickly familiarize themselves with an unfamiliar topic usually don’t rely on memorized facts, but rather on years of routine in testing and problem-solving. Interdisciplinary exchange further enriches this wealth of experience with perspectives from other fields.
Is it worth working around a bug with a workaround?
Rarely. If you patch over a problem instead of understanding what’s going wrong, you’re just shifting the problem elsewhere. Investing energy in addressing the root cause directly improves quality. The counterexample is software that became increasingly bloated and sluggish over the years because features were seemingly just tacked on rather than thoroughly worked through, while leaner competing programs ran smoothly.
How do you deal with the fact that users use software differently than planned?
Get involved in the interaction earlier and observe what users actually do. The usual reflex to specify everything down to the last detail rarely gets you very far: no matter how much time and budget you have, you can’t predict which device, which input method, or which workaround someone will choose. These insights only emerge during actual use.
