Project Management

Let’s not throw out our ability to see cause and effect with the complexity bathwater

From the Manifesting Business Agility Blog
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We hear so much that we can’t make predictions in complex adaptive systems that we start to believe it when we have a huge amount of counter evidence. Complex systems are those in which a perfect understanding of the individual parts does not automatically convey a perfect understanding of the whole system’s behavior. This means one can’t be certain what a change in one part of the system will have on another. But this doesn’t mean that there isn't a large degree of cause and effect for the system as a whole.

Let’s consider the following situations:

  • Product managers pushing more work on their teams than they can handle
  • People working on multiple projects projects being staffed by part time people
  • People working on large (3 months or more) batches of work
  • Teams being motivated to focus on their own interests
  • Managers micro-managing their teams
  • No planning across the teams that need to work together
  • Product quality is low

When you see these things I suggest you can readily predict the results. And that you can reasonably accurately predict improvement if you improve them. The question is how? But the first step is seeing these issues.

What’s forgotten in the complexity conversations is that seeing what our problems are is looking in the past – which complexity theory does not say we can’t do. We can see cause and effect after the fact. While we can’t accurately predict what our changes will be, we can accurately see what’s causing our problems.

Posted on: January 26, 2020 10:45 AM | Permalink

Comments (5)

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Dear Al
Interesting perspective on the topic: "Let’s not throw out our ability to see cause and effect with the complexity bathwater"

We agree with what you wrote: "While we can’t accurately predict what our changes will be, we can accurately see what’s causing our problems"

Thank you, Al. Proactive measures come from past experiences.

Dear AI, thanks for sharing your post.

It crystal clear that in complex systems , changes inevitable cause collateral effects, the causes are clear the consequences are a matter of time. If is the past that we evaluate we can see the correlation between cause and effect, if it is the future we can identify the causes and at least predict some effects.

Alexandre.

Thanks Al. Thought provoking as change usually has affects and in my opinion sometimes ones that can surprise you. I think it is important when looking at changes in complex environments to have pilots or tests to mitigate risks that sometimes are not planned.

Fahim. totally agree.

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