The work that I specialize in is figuring out viable solutions to complex, messy and challenging projects. It is intense and it is consuming. There are also numerous pitfalls to doing it well. You try to create clarity around something that is inherently unclear. You also need to avoid making it too simple, where simple answers become tempting and potentially create further challenges. Doing this work is as much art as it is science.
I’ve made the argument that the boxes and lines of models don’t matter as much as the content that occupies those boxes. I’ll go one step further. What really matters is the messiness that underlies that content. Models attempt to simplify and create meaning. The content within the model is just the aggregate representation of the situation in an organization at any given moment in time. Change the context and circumstances, and you will likely wind up with a very different representation that leads to very different interpretations and conclusions. Simplicity is a distraction. If you want to really know what is going on, then you need to embrace the messiness.