How Engineering Intuition Is Built Through Repair

Engineers like to talk about intuition as if it arrives fully formed.

Someone is said to have “good instincts.” Someone else can “just tell” what is wrong with a circuit. A third person develops a reputation for making the right call early, before anyone else in the room has caught up.

That language flatters expertise, but it can also hide how expertise is actually built.

In Collin Ruzvidzo’s telling, intuition is not mystical. It is not a personality trait handed out unevenly at birth. It is something built through contact with failure, repetition, curiosity, and the long accumulation of small solved problems. That is what makes his account so useful for Hardware Rich Development. He is not merely describing a career path. He is describing how engineering judgment gets made.

“I think intuition is built on seeing patterns… by solving smaller problems and then solving bigger problems.”

That line deserves to sit at the center of the conversation.

Many people first encounter engineering through theory. They learn equations, idealized behavior, simulation environments, layout rules, component functions, and software abstractions. All of that matters. None of it should be dismissed. Still, theory alone does not explain why one engineer learns to see trouble coming before it fully arrives, or why another develops a feel for diagnosis that seems almost immediate.

Repair begins to answer that question.

Repair gives failure a shape

Ruzvidzo did not move into design through a smooth professional script. He originally wanted to be an accountant, studied mechatronics after being advised that engineering offered more opportunity, and then worked as a maintenance engineer in mining. Eventually, that role stopped stretching him. He knew the breakdowns too quickly. He recognized the faults too fast. Competence had become repetition, and repetition had become stagnation. So he left.

From there he moved into motherboard-level repair on phones and laptops, teaching himself through online resources and practical work. Later, he began repairing industrial control boards for a diamond-mining client. That work demanded more analog knowledge and more design understanding than he had previously used in practice, so repair became his route into design.

That progression matters because repair teaches a different relationship to electronics than pure design work often does.

A board in design is a possibility. A board in repair is a fact. Something has already failed. Something is already behaving incorrectly. The engineer’s task is not to imagine ideal behavior in a vacuum, but to notice what the physical system is actually doing, and then reason backward through the chain.

That is where judgment starts to sharpen.

Pattern recognition is the real substance of intuition

Ruzvidzo roots his idea of intuition in childhood scarcity and practical necessity. Growing up in Zimbabwe, he says, toys and devices were hard to come by. Repair shops were not always nearby. If something broke, you often opened it yourself. Shared devices mattered. Broken objects invited inspection. Over time, one small repair led to another, and repeated exposure began to create recognition.

“If you are not interested in figuring out how something works then normally you don’t learn.”

That is a more convincing theory of technical intuition than the usual mythology of natural talent.

The engineer who sees patterns quickly is often the engineer who has spent years building a memory of failure. Remote controls, game systems, phones, laptops, control boards, power stages, signal chains. One repair does not create intuition. Ten begin to. A hundred change the way a person looks at systems altogether.

Pattern recognition is only half the story, though. Curiosity matters too. Ruzvidzo’s account makes that clear. A person has to care enough to keep opening the box, reading the datasheet, tracing the path, and asking why a thing behaves as it does. Without that appetite, experience can remain shallow. With it, experience compounds.

Engineering education has been moving toward that same conclusion for years. ABET’s current criteria for accredited engineering programs emphasize demonstrated competence in design, problem solving, experimentation, and continuous improvement, not just passive knowledge acquisition. The National Academy of Engineering has likewise argued that engineering education should blend abstract understanding with experiential learning and design practice.

Ruzvidzo arrives at a similar position from lived practice rather than institutional language. Intuition is built when theory repeatedly encounters stubborn reality.

Troubleshooting teaches sequence

One of the strongest parts of the interview comes when Ruzvidzo describes how he actually diagnoses PCB problems.

He explains a board section that steps 18 volts up to roughly 1500 volts through a transformer and voltage multiplier circuitry. In that chain, components like the TL494 pulse-width modulator, MOSFETs, and diodes can fail. In another section, op-amps process tiny current signals, convert them to voltage, amplify them, and filter them. When those stages fail, the expected signal disappears or changes shape. His method is to follow the signal path from the enable circuit through the PWM stage and toward the output, checking each section in order.

“What I normally do is I follow the flow of the signal… I check each and every section to see if this part is functioning properly.”

That is more than a useful troubleshooting habit. It is a model of engineering judgment.

Plenty of engineers know a great deal about components. Fewer are good at preserving sequence when something is wrong. Good troubleshooters understand that a board is not a pile of parts. It is a chain of dependencies. Enable logic affects switching behavior. Switching behavior affects voltage generation. Signal conversion affects amplification. Amplification affects interpretation. When one stage goes wrong, the others tell on it.

Repair work trains that kind of thinking relentlessly. It teaches engineers to read behavior in order. It teaches them not to leap straight to the most dramatic explanation. It teaches patience.

Judgment grows when complexity gets broken down

Another useful point in the interview is Ruzvidzo’s refusal to perform genius.

He says plainly that he does not solve complex problems in one go. Instead, he breaks them into smaller stages and works through them bit by bit. That sentence sounds modest, but it contains a serious engineering principle.

“I’m not able to solve complex problems in one go… I break them into smaller stages… then I solve it bit by bit.”

There is real value in saying that out loud. Technical culture often rewards the appearance of immediate brilliance. People want to seem fast, certain, comprehensive. Hardware tends to punish that posture. A complex failure rarely yields to ego. A difficult board does not care how smart someone sounded in the meeting beforehand.

Breaking a problem into stages is not a lesser form of intelligence. In many hardware settings, it is the only serious form of intelligence available.

That is another reason repair matters so much. It trains respect for sequence and scale. It turns diagnosis into a process instead of a performance.

Hardware makes omission expensive

The most memorable mistake story in the interview is also one of the most revealing.

On his first PCB using a PIC controller, Ruzvidzo forgot a key reset connection. The board worked when connected to the programmer, then failed when disconnected. He checked the oscillator and other likely culprits before returning to the datasheet and realizing he had missed the pull-up resistor on the reset path.

“One day while reading the datasheet… I saw I had not put a pull-up resistor.”

That moment is small, but it captures something central to engineering judgment. Judgment is not only knowing what to do. It is learning how expensive omission can be.

Ruzvidzo puts it even more directly:

“The problem with hardware is it’s not so forgiving as software.”

That line lands because it contains the economic truth of physical systems. Software errors can be maddening, but hardware mistakes often arrive with cost attached. Boards must be fabricated. Parts must be sourced. Assemblies must be reworked. Time disappears. Money disappears. A missed connection is no longer just an intellectual oversight. It becomes a material consequence.

That does something to an engineer over time. It sharpens care. It deepens respect for verification. It builds a temperament that is hard to fake.

Repair is one of the best schools for design

It is easy to treat repair and design as separate domains. One is seen as corrective, the other creative. One deals with failure, the other with possibility.

Real engineering does not divide so cleanly.

Repair is one of the best schools for design because it reveals where systems actually become fragile. It shows where assumptions fail. It exposes the gap between schematic confidence and physical consequence. Someone who has followed enough broken signal paths, replaced enough failed components, and traced enough recurring faults begins to understand design in a richer way than someone who has only lived on the clean side of the workflow.

That does not mean every great designer must begin in repair. It does mean that repair produces forms of judgment the industry should value more openly.

For younger engineers, that lesson matters. The early years do not have to look glamorous to be formative. Debugging, rework, maintenance, test failures, board bring-up, component-level diagnosis, reading old datasheets, checking the same path three times. None of that always feels like the front edge of innovation. Much of it is exactly where engineering instinct gets built.

What to carry forward

Ruzvidzo’s interview offers a strong answer to a question that sits underneath a great deal of hardware work: where does trustworthy judgment come from?

His answer is clear. Judgment comes from repeated contact with reality. It comes from curiosity that survives frustration. It comes from learning how systems fail, not just how they are supposed to work. It comes from breaking down complexity, following signal flow, and respecting the fact that hardware makes even small omissions visible in expensive ways.

For a field increasingly crowded with abstraction, that is a useful reminder.

Engineering intuition is not some floating gift. It is built. Repair helps build it. Discipline helps build it. Humility helps build it. Over time, enough contact with broken things becomes a way of seeing.

That way of seeing is what people often call judgment.

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