The 4D metrics were born out of the perception that although culture is the Matrix of society it is not properly valued because of the lack of tools capable of showing how it deals with and impacts on all the aspects of society, what we call the 4D or four dimensions.

Like a compass, Fluxonomy4D is structured upon two axes: intangible (cultural and social dimensions) and tangible (environmental and transactional dimensions) that are interdependent and complementary: one cannot exist without the other. The first level of the Evaluation Prototype depicts the 4 dimensions and balances the conceptual/intangible and the structural/tangible axes.

Each dimension depends on and builds upon the previous one, and what matters is the flow between them. The second level of the evaluation are the Components, designed as a framework of what is required in one step to guarantee the next one.

Also, as in the compass, we need a magnetic point orienting our choices. This magnetic point is the purpose, the desirable future we aim for. The third level of the evaluation process is related to Qualities or Forces of the Components that help achieve the purpose.

By unfolding the four dimensions in the three fractal levels, we have a road map that can be applied in every phase: design, planning, implementation, management, and evaluation. It is very unlikely that any of our creations will encompass all these fractals components. When we check them, we have a better understanding of what we are designing; what is it for (the relevance); with which resources (the viability), to whom (the reach) and what is the intended impact.

We can better understand, design, manage or measure something when we have 4D lenses that show the dynamics and interactions between those dimensions. By going through them, we gain consciousness, we better understand what is happening in the present and what is needed for the future. Probably “Sense Making” better describes what is the purpose of an evaluation. We become aware of Components that were left behind (blind spots) and others that were over stressed.

**Click on the dimensions, its components and forces to read a few comments about RESHAPE, the figures are not as relevant as the qualitative data, therefore they are not so visible in the Graph, but they can be seen by leaving the arrow over a section for a few seconds, they correspond to the average all numeric impressions from its four internal dimensions.**