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INRATIOS

ABOUT INRATIOS

Why we start with the question

INRATIOS helps organisations make better decisions before they commit time, money and capacity to solutions.

Many organisations are good at solving problems. The harder question is whether the right problem has been defined, whether the assumptions behind it hold up, and whether anything needs to be done at all. That is where INRATIOS works.

01

Mission

INRATIOS helps organisations work out which problem actually needs solving, what they really know about it, and what the smallest useful step would be.

Change because it is needed, not because it is possible.

02

Vision

Organisations do not only improve by building better solutions. They improve by getting better at choosing which problems are worth solving.

Going ahead is one possible outcome, not the default. Simplifying, adjusting, waiting or stopping can be just as sensible.

03

How INRATIOS works

We look at the situation as it is, define the question and its boundaries, map what connects to what, check whether this is really the problem, and separate what is known from what is assumed. Only then do we decide how far to go.

If action makes sense, we start with the smallest step that can show whether it works, before anything bigger is committed.

04

The thinking underneath

INRATIOS grew out of research into how problems are shaped by their surroundings, which we call Structural Thinking. Two parts of it are Relational Systems Theory (RST), about how relations and context shape meaning, and the Coherence Integrity Principle (CIP), about whether a conclusion still holds when the wider picture is in view.

These ideas inform the research, the tools and the advisory work. They do not replace established methods or professional judgement. The problem decides which method fits, not the other way round.

SCOPE AND POSITION

INRATIOS is not a universal theory, an automated decision-maker or a substitute for professional judgement. Research and experimental systems are described as what they are, including how far they have been tested. Where something is uncertain, we say so.

The aim is to make the problem, the evidence and the choice clear enough that the next step can be defended — including the choice to stop.