Understand people
before changing organisations.
Our work is grounded in original research into the inner dimensions of human experience and their relationship with organisational systems. The research is developed through practice and continues to be tested and revised.
Five research assets
A framework in which a value map is the common source, a cognitive window and competency work as two parallel functions, and bias and stability cut across both. The shared vocabulary of our diagnoses.
Learn moreA diagnostic framework that classifies organisational conflict into four types, value, structure, cognition, and existence, before an intervention is selected.
Learn moreA structured framework for understanding human values and the motivations that shape behaviour and decision-making.
Learn moreAn approach to connecting individual meaning, organisational purpose, contribution, and sustainable performance.
Learn moreA model for examining how an organisation creates and distributes value across its stakeholders.
Learn moreFurther research is in progress and will be added here as it becomes ready for publication.
Why performance isn't consistent
Why does a highly capable person with a high vantage point sometimes fail to perform consistently? And why does someone who was never visible before suddenly step up in a crisis? Existing assessments cannot explain this swing.
We are researching this swing through Human OS, our framework in which a value map serves as the common source, two parallel functions — a cognitive window and competency — operate alongside each other, and two dimensions, bias and stability, cut across both. See the Human OS page for the full structure.
This perspective underpins the theoretical basis for how Compass, our corporate service, measures the "cognitive window."
We are preparing to present this as academic research in organisational management (details to follow).
How we research
Our research is born in the field: in organisational engagements and in the operation of our own products. Structures observed in practice are formalised as hypotheses, tested in the next engagement and the next product, and revised. This cycle runs across our three divisions: research (Think Tank), implementation (Produce), and productization (Asset).
Observe and formalise
Structures observed in engagements and products are formalised as reusable frameworks.
Test in practice
Each framework is used in subsequent engagements, where the precision of its diagnoses and interventions is examined.
Version and revise
The theory is version-controlled in a single repository, and every product references the same definitions, so what we say and what we ship cannot drift.
Evidence status
The frameworks published here are proprietary frameworks developed by Eudaimonia Universe through practice. They are currently being evaluated and are not presented as peer-reviewed, empirically validated research. Each page states its development background, evidence status, and limitations. They are not presented as replacements for established psychological, organisational behaviour, or management theories; they are organising frameworks for practical diagnosis and design.
Research and data ethics
- A person's words belong to the person. Individual responses and dialogue handled in our products and diagnostics are never passed to managers or the organisation without the person's explicit consent. Organisations receive aggregates only.
- AI supports the analysis; people design the intervention. Responsibility for intervention design rests with people; AI is limited to supporting the analysis of structure.
- No exaggerated claims. We avoid phrases such as "scientifically proven" and keep the distinctions between original research, methods developed through practice, and work currently being evaluated.
- Only verifiable facts are published. Client names, outcome figures, and awards appear only after verification and publication approval.
Research partnerships
We welcome proposals for joint research on Human OS, Conflictology, and related themes, as well as data collaborations and field sites for evaluation.