Richard Golian

1995-born. Charles University alum. Head of Performance at Mixit. 10+ years in marketing and data.

Castellano Français Slovenčina

Manage subscription Choose a plan

RSS
Newsletter
New articles to your inbox

Article

What do I look for in potential colleagues?

Hiring talent for performance marketing
Richard Golian
Richard Golian · 2 623 reads
Hi, I am Richard. On this blog, I share thoughts, personal stories — and what I am working on. I hope this article brings you some value.
Listen to this article
0:00 / 0:00

Common Sense, Personality and Mutual Chemistry: More Important than Experience

Richard Golian PPC advertising, performance marketing, Mixit
Practical interviews at Mixit s.r.o.

Common Sense

Sure, I can teach online advertising and marketing data interpretation, but I cannot teach common sense. Either it is there or it is not. When someone overcomplicates simple tasks or ignores the obvious solutions, working with them becomes a challenge. Common sense is a quality that I try to find in potential colleagues during the practical part of the interview.

Chemistry

Another thing that you cannot force is chemistry. In my experience, when there is great chemistry among colleagues, any problem can be tackled. On the flip side, without it, even minor issues seem insurmountable. If someone in the team disrespects others, or is generally toxic, it needs to be addressed. It is vital to identify these traits during the hiring process or probationary period.

Motivation

It is tough to spark internal motivation in someone if they do not have it within themselves. I can inspire and energize someone temporarily, but I cannot sustain that for them. Working with someone who always needs a push is exhausting. This trait is often hidden during the hiring process because many people can fake determination and motivation. The truth usually comes out in the first few weeks of working together.

So, what do I look for in potential colleagues? Good chemistry, common sense, and internal motivation. It is simple.

Summary

When hiring, three things matter more than experience. Common sense — it cannot be taught. Chemistry — without it, minor issues become impossible. Internal motivation — it cannot be manufactured. Good chemistry, common sense, and internal motivation. That is it.

Common questions on this article's topic

Why is personality more important than experience when hiring?
Because skills can be taught but personality traits like common sense, internal motivation, and interpersonal chemistry cannot be manufactured. In the article, these three qualities are identified as what makes collaboration effective — and what makes their absence impossible to compensate for, regardless of how impressive a candidate's resume may be.
What is common sense in a professional context and can it be taught?
In the article, common sense is described as the ability to handle straightforward situations without overcomplicating them — recognising obvious solutions rather than ignoring them. While some aspects can be developed through experience, the core capacity is either present or not. It is identified as a quality to look for during the practical part of an interview, not something that can be reliably trained afterward.
Why does team chemistry matter more than individual skill?
In the article, the observation is that when great chemistry exists among colleagues, any problem can be tackled — but without it, even minor issues seem insurmountable. Research in organisational psychology supports this: task-focused cohesion correlates more strongly with team performance than the sum of individual abilities. Gallup research shows that knowing each other's strengths matters more than which strengths a team has.
Can internal motivation be created through management?
Not sustainably. In the article, the distinction is clear: temporary inspiration and energy can be provided, but long-term internal motivation cannot be manufactured by someone else. Self-Determination Theory confirms that truly sustainable motivation requires autonomy, competence, and relatedness — conditions that a manager can create, but the drive itself must come from within.
How can you identify personality traits during the hiring process?
In the article, common sense is tested through practical interview tasks, while chemistry is assessed through direct interaction. However, motivation is identified as the hardest to detect — many candidates can convincingly fake determination during interviews. Research confirms that over 90% of candidates engage in some form of impression management. The truth typically emerges in the first few weeks of working together.
What should you prioritise when building a team?
Good chemistry, common sense, and internal motivation — in the article, this is presented as the complete list. Experience and technical skills are explicitly secondary because they can be taught. The framework is simple but demanding: these three qualities determine whether a colleague will contribute to solving problems or will create new ones.
Richard Golian

If you have any thoughts, questions, or feedback, feel free to drop me a message at mail@richardgolian.com.

NEWSLETTER
What I write about, what I am working on, what I learned.
Sent the first Sunday of the month. Unsubscribe anytime.

Related articles

AI sales forecast: 9 traps so far

Yesterday I could not tear myself away from the computer. When I lifted my head, it was half past eight in the evening. I had been sitting alone upstairs for about three hours.

25 April 2026·668 reads
Will AI take my job?

Will AI take my job? A certified Google trainer told me in June 2024 that my profession would cease to exist. Twenty-two months later, my job title has not changed — but ninety percent of what I do during the day is different. I have delegated more of my thinking to AI agents than I thought possible. I am not afraid. This is why, and what it means for anyone asking the same question.

23 April 2026·433 reads
Is AI Making Us Dumber?

I have conducted roughly one hundred and fifty practical interviews over the past four years. Fifty for data specialist roles. A hundred for advertising and performance marketing specialists. Almost every one of them involved sitting down with a candidate over a practical task — something close to a real problem we actually need to solve at the company. Not theory. Not trivia. Applied problem-solving. Over time, I started noticing a pattern.

14 April 2026·760 reads

More articles

What Determines a Stock Price?

In April, in the first part of this series, I wrote about an AI prediction system I had started building on my own machine. At the time the software was a few hours old and the prediction record was empty. The record since then has shown one thing — the system does not yet understand the market it is being asked to forecast. It can pull macro context, book value, earnings. But it cannot put those together into something that helps it understand the price.

23 May 2026·246 reads
Where the Money Goes When AI Takes the Work

Prague, 13 May 2026. On my way to work I started thinking about something that stayed with me for days. If most routine work on a computer disappears in the next ten years, and a large share of repetitive manual work disappears with it, what happens to the flow of money? Who pays whom for what? Which economic layers will exist, how large will they be, and what relationships will run between them? This is the six-layer map I sketched as an answer.

15 May 2026·773 reads
Building an AI Stock Market Prediction System That Grades Itself

I am building an AI system to predict the S&P 500. It runs on my own machine, uses free public data — yfinance, FRED, the Shiller dataset — and grades every forecast against reality. This series documents the build itself: the decisions, the methodology, the mistakes. What I will eventually share from the running system is a separate question, and an honest one.

26 April 2026·713 reads
€50,000 Quote vs. Two Hours with Claude Code

One hour. Fifty-five minutes. That is how long it took to build what a Czech software firm had quoted at over €50,000. I built it with Claude Code. Not a prototype. Not a proof of concept. A working tool — the one the company actually needed. By the evening of the same day, it was running on staging. This is not about Claude Code. It is about what Claude Code exposes.

18 April 2026·802 reads
What AI Hides From You

Before you can teach AI to understand anything, you need to see what it is hiding from you.

11 April 2026·789 reads
When Your AI Agent Joins the Team

The moment other people needed access to it, the problem changed completely. It was no longer about whether the agent could learn. It was about who gets to teach it.

8 April 2026·941 reads
Training an AI Agent That Learns Between Sessions

I wanted to build an agent that doesn't just assist. One that acts.

4 April 2026·956 reads
Full AI agents or fully offline.

Four days in Catalonia. No computer, no AI, almost no social media. I bought this notebook so that I could write down what I would think about, and what I would come across and learn on the trip.

10.5.2026·447 reads
NEWSLETTER
What I write about, what I am working on, what I learned.
Sent the first Sunday of the month. Unsubscribe anytime.