When people think about technical skills, they picture code.
Programming languages. System architecture. Debugging. Networking. Databases.
Empathy rarely makes that list.
I think that’s a mistake.
After more than a decade in technical support, I’ve come to believe empathy isn’t a soft skill sitting beside technical expertise. It’s part of it. In a lot of situations, it’s the difference between solving a problem and just answering a question.
The Support Ticket Is Rarely the Real Problem
A customer submits a request.
“Your update broke my website.”
Technically, that’s the issue. But it’s usually not the real one.
Maybe they’re about to launch a new business. Maybe the site belongs to their biggest client. Maybe they told their boss it would be ready Monday morning. Maybe they’ve already spent six hours trying to fix it themselves before writing in.
You can explain the error perfectly. You can even solve it. And still leave the customer frustrated if you never acknowledge what they’re actually going through.
Technology creates technical problems. People experience emotional ones.
Support has to solve both.
Customers Don’t Always Tell You What’s Wrong
Sometimes they don’t know.
Sometimes they describe symptoms instead of causes. Sometimes frustration changes the way they write. Sometimes fear makes them leave out details that matter. Sometimes they skip the technical part entirely and just tell you how it made them feel.
So the real skill isn’t reading the ticket. It’s reading the person behind it.
A message that sounds angry might actually be panic. A short reply might come from someone typing between meetings. A customer who keeps repeating the same question may not need another explanation. They might just need reassurance that they’re moving in the right direction.
That’s not a psychological trick. It’s a diagnostic skill, and it works the same way pattern recognition works in debugging: you’re reading a signal out of noisy input.
Which is also why empathy shows up before the analytics do. If five customers in a week all hit the same confusion at the same step, you’ll notice it in conversation long before it shows up as a dip on a dashboard. If a lot of people make the same mistake, the problem usually isn’t the people. It’s the design.
Good Explanations Start With Understanding, Not Information
One of the most common mistakes in technical communication is answering the question you wish had been asked instead of the one that was actually asked.
A customer asks something simple. The reply turns into a lecture full of technical terms. Everything in it is accurate, and almost none of it is helpful.
The best explanations don’t start with information. They start with understanding.
What does this person already know? What are they actually trying to do? What’s the shortest path from confusion to clarity?
Answer that, and complex technology suddenly feels approachable.
Empathy Makes You a Better Troubleshooter
Debugging isn’t only about software. It’s about assumptions. You form a hypothesis, gather evidence, eliminate possibilities, and eventually the root cause shows up.
Empathy follows almost the same process. Instead of asking “what’s happening inside the software,” you ask “what’s happening inside this conversation.”
What does the customer believe is true? What are they worried about? What information are they missing? Why did they land on this conclusion instead of the right one?
The better you understand their perspective, the faster you find the actual problem. Empathy doesn’t slow troubleshooting down. It speeds it up, because it narrows the search space the same way a good hypothesis does.
Great Products Feel Like Someone Was Thinking About You
Think about the software you’ve enjoyed using most. Chances are it wasn’t just powerful; it felt considerate.
The error messages anticipated your confusion. The documentation answered the question you hadn’t asked yet. The interface guided you instead of fighting you. Recovery was easy when you made a mistake.
None of that happens by accident. It happens because someone imagined what you’d experience before you experienced it. That’s empathy, applied as a design decision, and it’s just as technical as the code underneath it.
The Question That Turns Support Into Product Design
Experienced support engineers eventually start asking a different question.
Not “how do I fix this,” but “why did this happen.” And after that: “How do we make sure no one else runs into it?”
That third question is where the job changes shape. You stop being the person who closes tickets and start being the person who notices what the product keeps getting wrong. Troubleshooting becomes improvement. Empathy, applied consistently enough, becomes a design input, not because you decided to be more empathetic, but because you kept asking the same honest question until it pointed somewhere upstream of the ticket.
It’s Bigger Than Support
This isn’t only true in tech support.
The best teachers know where students get stuck. The best managers know why employees hesitate before raising a problem. The best writers know what their readers are actually searching for. The best designers know what users are trying to accomplish, not just what they clicked.
In every case, technical knowledge explains the system. Empathy explains the people inside it. You need both, and neither one substitutes for the other.
Final Thoughts
We tend to separate technical ability from human ability, as if one belongs to engineers and the other belongs to customer service.
The best technical people I’ve worked with don’t draw that line. They’re curious about people. They ask better questions, listen more carefully, and explain things clearly because they understand not just how the system works, but how someone experiences it.
That’s why I don’t think of empathy as a soft skill. It’s one of the most practical technical skills you can build.
