I grew up in an environment where theory, inquiry, and structured thought were part of everyday life — and the university was not just a workplace, but a natural extension of home.
That’s why academia was never a “sector” for me.
It was a way of thinking — a space where the central question was not what you do, but why you do it.
I’ve spent more than 25 years inside the system.
Designing. Teaching. Leading. Analyzing.
I’ve worked with universities — from within and from the outside.
I led programs, built models, implemented solutions.
I worked in accreditation — not as a form of control, but as a way to improve quality through external, expert, and constructive evaluation.
Not supervision — but reflection:
How can an institution be made stronger without distorting what it truly is?
And all along, I kept asking myself:
How can we design a system that helps institutions see themselves — clearly and structurally?
One example – a turning point
While analyzing the socio-economic context of post-Soviet countries, I ran into a paradox:
Education quality didn’t align with spending.
GDP, budget structure, national priorities — none of them correlated in any meaningful way.
It wasn’t until I added the Corruption Perceptions Index into the model that the picture began to make sense.
Suddenly, resource inputs and institutional behavior aligned.
It wasn’t the first project. But it was the moment when quantitative analysis became structural insight.
Why I built the system myself
Because I needed coherence.
When one person builds the algorithm, another picks the indicators, and a third handles the interface — meaning falls apart.
I built everything myself — from the architecture to the interface — to ensure that every part of the system served understanding.
That’s how Postdata was born.
Not as a product. But as the result of years of work — moving from theory to model, from model to system.
But that’s not the end — it’s a transition
Today, I continue working in the framework shaped by Inglehart — studying how value orientations affect institutional behavior.
But unlike the original paradigm, I focus on how to capture movement, not just map fixed coordinates.
I study how internal shifts reveal themselves in external dynamics,
how we can trace impact the way one traces the source of ripples on water — even when the initial point remains unseen.
This is no longer just analysis. It’s an attempt to understand
why institutions begin to change — and how we can track that change without simplifying it away.
Who this is for
If you work in, study, or support universities — and if you feel that traditional metrics no longer explain what’s happening —
this system may offer you something useful.
Not because it’s easier. But because it’s more precise.