This is a series on Teal and Levels of Work. Here is the backstory for the series in case you are interested in the context. The purpose for the series is to explore the tenets of Teal through the lens of Levels of Work.
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Humor me. To see Levels of Work (Requisite Organization), as a hierarchy based on problem solving complexity (rather than power), opens up a different texture of organizational structure. Let me quickly sport a reference chart below to demonstrate the discontinuous complexity underpinning Levels of Work. I assume you agree, some problems are more complex than others, all problems are not created equal.

Level-I (S-I) – Declarative problem solving. This is the world of opinion, without the necessity of supporting evidence. The world is the way it is, simply because it is declared to be so. Problem solving methodology at this level of work is trial and error. Trial and error is a valid problem solving method, it just has a high error rate in the face of increasing complexity. If S-I was a computer, its computer code would be the Boolean operator “or-or.” S-I is a disjunctive (disconnected) way of seeing the world.

Level-II (S-II) – Cumulative problem solving. If S-I struggles to connect the dots, S-II succeeds in making those connections. Cumulative means connection by successive addition. Problem solving occurs by connecting the pattern in a problem with a documented solution. Best-practices is an S-II problem solving method. If S-II was a computer, its computer code would be the Boolean operator “and-and.” S-II is a conjunctive (connected) way of seeing the world.

Level-III (S-III) – Serial problem solving. This is where Elliott observed the first instance of cause and effect. Problem solving occurs through a process of root cause analysis. If S-III was a computer, its computer code would be the Boolean operator “if-then,” cause and effect. This problem solving method is required in the construction of a system (sequence of steps in a process yielding consistent and predictable results, a critical path).

Level-IV (S-IV) – Parallel problem solving acknowledges the existence of multiple simultaneous systems that co-exist in proximity. In the same proximity, each critical path may not intersect, but each system’s capacity has an impact on neighboring systems. Problem solving multi-system impact requires systems analysis, specifically – capacity, constraints, delay and throughput. If S-IV was a computer, its computer code would be the Boolean operator “if-and-only-if, then.” This level of work manages problems with multiple simultaneous variables and increasing ambiguity of outcomes.

So, what does this problem-complexity have to do with Laloux and Teal?

You have to read carefully (Reinventing Organizations), but Laloux identifies these specific levels of problem solving quite clearly – Another cognitive breakthrough is the ability to reason in paradox, transcending the simple either-or with more complex both-and thinking.

As he describes the organizational period of magenta, he makes the following observation –
Cause and effect are poorly understood, and so the universe is full of spirits and magic.

Cause and effect finally comes of age in Laloux’s description – At the Conformist-Amber stage, reality is perceived through Newtonian eyes. Cause and effect are understood, people can grasp linear time (past, present, future) and project into the future. Laloux’s observation is quite consistent with the timespan schema in Levels of Work, that a measure of problem solving is based on a person’s capability to operate in the ambiguity of the future.

So, Laloux clearly observes problem solving through the first three Levels of Work, without realizing how close he came to solving the puzzle of hierarchy. These nested relationships** replace the power hierarchy with an accountability hierarchy. Indeed, Elliott described this organizational form with the acronym MAH (Management Accountability Hierarchy).

I think the issue of accountability will be next on our agenda.

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**Nested relationships was brilliantly described in this article by Richard Bartlett