How we do it

Complex problems rarely sit neatly within a single discipline, organisation or system. Our approach is designed to understand the relationships between them, identify what is actually driving outcomes and determine where intervention can make a difference.

SEE THE WHOLE SYSTEM

We don’t isolate the obvious problem from the system that creates it. We map relationships, dependencies, constraints and feedback across people, technology, organisations and environments.

FIND WHAT IS ACTUALLY DRIVING THE BEHAVIOUR

We look beneath stated problems and symptoms to understand the conditions producing them.

We challenge assumptions, examine evidence and bring an independent and rigorous perspective to the problem.

PUT HUMANS BACK INTO THE SYSTEM

We examine what happens when real people have to operate, interact, learn, adapt and make decisions within the system.

Human science is central to this work. We consider cognition, behaviour, decision making, social interaction and organisational dynamics as part of the system rather than as factors added afterwards.

MAKE THE INVISIBLE TESTABLE

Where possible, we turn assumptions about a system into things that can be observed, modelled, simulated, measured or experimentally tested.

LEARN BY DOING

We don’t pretend we can understand a complex system completely from the outset. We create ways to learn from it, feed the results back and progressively improve our understanding.

Our work is designed to move from understanding to action, using evidence and learning to refine what happens next.

CHANGE THE SYSTEM, NOT JUST THE SYMPTOM

The intervention has to work within the actual system — its structures, behaviours, incentives, technologies and constraints — rather than being a superficial fix applied to the visible problem.

We work at the level the problem requires, from individual human performance and interaction through to teams, organisations and wider technical systems.

APPLIED SYSTEMS THINKING

Systems thinking is not a theoretical layer added to our work. It determines how we frame problems, what relationships we examine and where we look for leverage.

We move between levels of a system as required, connecting human behaviour, organisational dynamics, technology, information and environment rather than treating them as separate problems.

FROM UNDERSTANDING TO ACTION

IGOR does not stop at analysis. We translate evidence and insight into practical changes to systems, organisations, capabilities and ways of working.

The form of intervention depends on the problem. It may involve design, organisational change, governance, experimentation, evaluation, capability development or strategic decision support.

DISTRIBUTED AND COLLABORATIVE

Complex problems often require expertise that no single team holds.

We work across geographical and organisational boundaries, bringing together the disciplines and specialist capability required by the problem. Our partnerships extend what IGOR can bring to an engagement without replacing our responsibility for the quality and coherence of the work.

INDEPENDENT AND RIGOROUS

IGOR brings an independent systems perspective to complex problems.

We test assumptions, examine evidence and challenge conclusions. The objective is not analysis for its own sake, but a clearer understanding of the system that supports better decisions, better designs and better outcomes.

AI-AUGMENTED WORK

AI is now an additional capability within how IGOR works.

We use it where it can extend research, analysis, interrogation, synthesis and project delivery — allowing our people to examine more evidence, explore more possibilities and test reasoning more extensively within a project.

AI does not replace expert judgement. It extends the analytical capacity available to the work.