Tag Archives: problem solving

All Problems Are Not Created Equal

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

By Design

“I keep telling my team that we need to be proactive,” Lonnie said. He wasn’t defensive, but you could tell he wasn’t having any fun.

“So, tell me what happens?” I asked.

Lonnie shook his head. “It’s just day after day. The problems jump up. You know, it’s not like we don’t have a clue. We know what problems customers are going to have. Heck, we even know which customers are going to call us. We just don’t ever get ahead of the curve.”

“Lonnie, being reactive is easy. It doesn’t require any advance thinking, or planning, or anticipating. Being reactive just happens.

“Being proactive, however, requires an enormous amount of conscious thinking. It doesn’t just happen. You have to make it happen. You have to make it happen by design.

“At the beginning of the day, I want you to gather your team together. Show them a list of the work you are doing for the day and for which customers. Then ask these two questions.
–What could go wrong today?
–What can we do to prevent that from going wrong?”

Lonnie smiled. “That’s it?” he asked.

People Model

We continue to step our way through a short list of identified hallmarks of Agile through the lens of Levels of Work. Today, we move down the list to the people model.

  1. North star embodied across the organization.
  2. Network of empowered teams.
  3. Rapid decision making and learning cycles.
  4. Dynamic people model that ignites passion.
  5. Next generation enabling technology.

Dynamic people model
Levels of work identifies a robust framework where each role is defined by its level of decision making and problem solving. Effective decision making and problem solving at each level of work requires a concomitant level of cognitive capability.

In the transformation from analog to digital, there will be obsolete roles no longer needed and new roles created. As new roles are created, the organization has to identify the level of work in the new role and the corresponding cognitive capacity of the candidates for those roles. When people are challenged to work at or near their highest level of capability, in work they value, there is no need for motivational speakers to raise morale.

Most analog organizations define managerial roles as reporting relationships. In a digital organization, managerial roles shift from reporting relationships to a value stream, where managers are required to bring value to the problem solving and decision making of the team. This process brings alive the concept of “servant leadership.”

Rapid Decision Making

In my last post, we made two steps down a short list of hallmarks of Agile through the lens of Levels of Work. Today, we move down the list to rapid decision making.

  1. North star embodied across the organization.
  2. Network of empowered teams.
  3. Rapid decision making and learning cycles.
  4. Dynamic people model that ignites passion.
  5. Next generation enabling technology.

Rapid decision making and learning cycles
Technology is transforming analog organizations to digital organizations. Many decisions (made with incomplete, unknown or unknowable data) become calculations (complete and known data) according to defined algorithms. A decision is made in the context of incomplete information. A calculated adjustment is made in the context of complete data.

In the digital world, this data is captured in real time and is more transparent to more people in multiple functions. There will be no more waiting for a report from accounting. That data will be available in real time. And, with that accurate data available in real time, there is no need for a role that captures, collates and compiles the data, no need for a role to review the data. Analog roles slow things down.

Levels of Work acknowledges that some roles will be gone and new ones appear. The level of work is likely to be higher. It is no longer a matter of gathering and compiling data, it is a matter of which data to stream, to whom. Which data is relevant, which data irrelevant? What sensors gather the data to stream? What new sensors are available to gather new data? What sensors are obsolete?

In what technology do we invest our limited resources? Our decision making and learning cycles have to come faster.

Any Decision, Any Problem

Think about any decision. You have to think about, not only the consequences of that decision immediately, but also the consequences in a month, three months or a year. An immediate positive consequence may create the circumstance for a negative consequence in three months time.

Same thing goes for a problem to be solved. You have to think about, not only the consequences of that solution in the near term, but the consequences in a month, three months or a year. An immediate solution may create the circumstances for a larger problem in three months time.

Take a high mileage vehicle and extend its preventive maintenance cycle by 30 days. You will save the cost of a maintenance cycle. In three months time, you will not likely notice any difference, but over two years time, you may experience catastrophic vehicle failure. And, it may not just be the cost of the repair, but the delay in the critical path of a project (just to save an oil change).

A World That No Longer Exists

Best Practices are based on past experience, a best practice to a problem that we already solved. Necessary but not sufficient.

Past experience may be helpful, but seldom covers all the bases. Past experience seldom anticipates change and often misses critical elements that will be different in the future.

Best Practices are what we teach in school. Those who live by Best Practices will find themselves perfectly equipped to deal with a world that no longer exists. Accomplishment always happens in the future.

Whose Idea Is It, Anyway?

“But, I am the manager. Everyone is counting on me,” Bryce pushed back.

“Then, why are you in here, by yourself?” I asked.

“I have a problem to solve. It’s a serious problem. Everyone is counting on me to solve the problem. It is my responsibility.”

“Is it your responsibility to solve the problem with the best solution you can come up with, or the best solution to the problem? Have you thought about stepping outside yourself, asking for help, other perspectives? Yes, you are accountable for the best solution, but, no one said it had to be your idea.”

I Already Had the Answer

“So, you didn’t like the idea?” I asked.

“No, and I should have listened to my sales-guy,” Rory replied. “We spent a bunch of engineering time creating a perfect solution that the customer didn’t want. We thought the prototype would WOW them to our way of thinking. All it did, was drive them to our competitor.”

“If you had it to do over again, what would you do differently?”

“First, I would listen. Before the problem was completely explained, I thought I already had the answer. I missed some key elements in the problem.”

“And, what else?”

“I think,” Rory glanced to the ceiling and back to me, “that I have to suspend my own judgement for a while. I have to see the problem from the customer’s perspective. Until I can see that, I will make the decision according to my criteria, instead of developing criteria from the customer’s perspective.”

The problem you solve is the problem you name. Make sure you name the right problem. -Pat Murray

What Else Do You Need to Know?

Before you make any decision, before you solve any problem –

  • What do you need to know, to more clearly understand the problem?
  • Does what you know point to the symptom of the problem, or point to the cause the problem?
  • If you gave the cause of the problem a name, what would be its name?
  • What else do you need to know, to more clearly understand the cause of this problem you named?
  • Do you know enough about the cause of the problem to generate a plausible solution, or do you need to know more?
  • How would you explain the cause of the problem to someone else?
  • If you were someone else, how would you understand the cause of the problem differently?
  • If you were someone else, what other alternatives would you suggest?
  • As you consider these alternatives, could some be combined? Could you take the front end of one idea and patch it to the back end of another?
  • What would happen if you ran an alternative backward or upside-down?

Sometimes, solving a problem has more to do with questions than answers.