I do not believe there is a conflict between analysis and intuition. I believe the best business decisions are made precisely when one keeps the other in check. Analysis protects us from telling ourselves stories that the facts do not support. Instinct lets us notice something that has not yet found its way into a spreadsheet. Only the combination of the two perspectives lets us truly read a business.
Data shows the result. It does not always show the mechanism.
We may know that sales have fallen, that margin is lower, that conversion has worsened, that inventory turns too slowly, that a project is not delivering. These are facts. But a number alone does not yet answer the question: why?
A fall in sales may stem from the product, the price, the quality of service, a change in the customer, the wrong person in a key position, a conflict on the board, or a decision that nobody formally took. Or from many of these at once. That is why data is the beginning of a diagnosis. Not its end.
People make the business
You can analyse a company as if it were a system: products, channels, processes, costs, assets, KPIs. But behind each of these elements is someone who makes decisions.
Someone set the price. Someone approved the purchase. Someone chose the location. Someone decided the problem could wait. Someone said “yes”. Or for months nobody said “no”.
That is why, when I try to understand a business, I want to know not only its model. I want to know the people who created that model and who run it today.
You have to know what to listen for
In a conversation with an owner or a board, what is said matters, of course. But it is just as revealing which questions get an immediate answer, which are met with silence, which problems are explained at great length, where people use numbers and where only convictions, and which decisions everyone regards as impossible without anyone being able to explain exactly why.
This does not replace analysis. It shows where analysis needs to go deeper.
Instinct is not magic
Business instinct is sometimes presented in almost mystical terms. For me it is something else. It is very fast pattern recognition built on earlier experience.
We see a situation. Something “does not fit”. We cannot always say at once what. Only later does analysis let us name the signal we recognised intuitively. That is why I do not dismiss the moment when something strikes me as inconsistent. But nor do I treat it as proof.
Instinct creates a hypothesis. Analysis should test it.
For me, that is the basic rule.
Customer first
One of the most dangerous moments in business is when a company starts to know more about itself than about its own customer. The organisation analyses structure, processes, costs and budgets. And far more rarely asks simple questions:
- Why does the customer come here?
- Why do they come back?
- Why do they leave?
- What are they prepared to pay for?
- What does the company do better than the alternatives?
- What does the customer regard as value — and what does only the organisation?
It is impossible to truly understand a business model without understanding the person who pays for it.
Reading the company as a system, people as context
I do not treat personality typologies as a scientific manual for management. But they can sometimes be a useful language for describing how people think. I recognise in myself the traits attributed to the INTP profile: a need to understand systems, a habit of questioning obvious answers, building models, looking for dependencies and independence of thought.
The label itself does not interest me, however. What interests me is the combination of two things: the ability to break a business down into mechanisms and the ability to read the people who create those mechanisms. One without the other gives an incomplete picture.
The best question is often not found in Excel
Analysis is indispensable. But a great deal of value is created even earlier: in the ability to ask the right question.
- Why does this location, with similar footfall, sell 30% more?
- Why does one manager deliver results in the same model in which another struggles?
- Why do customers buy a product other than the one the company considers strategic?
- Why has the owner, for months, not taken a decision that the numbers justify?
Questions like these open up a diagnosis.
Analysis gives certainty. Instinct gives direction to the search.
I would not choose between them. I want both. I want to see the numbers precisely enough not to be misled by my own beliefs. But I also want to keep the ability to say: “Something does not fit here. Let’s check.”
Because a business is not only a financial model. It is a system of decisions made by people for other people. And that is why the most interesting things often begin where analysis meets instinct.
