Last week Mike Cottmeyer posted that People Are Messy. He gave an excellent example how two people approach and respond differently to change. I might choose different words to describe people. I definitely agree that change gets messy. Change starts getting messy when our change model doesn’t map to the reality we deal with. Three […]
Models are like kitchen utensils. You need a variety of them, and you should know when and how to use them. They should be useful for more than a single task.
My name is Don, and I have a problem. I’m trying to make sense of my world. Sometime ago I asked myself the question, “What is the earliest indicator that something is going wrong?” And of course, I’m not happy with just a single problem, I’m looking for the answer for the base problem class, which all other problems inherit. What would you expect from an ENTP?
People working with systems know the interactions between the system and its environment create a tremendous opportunity for success or failure. In computer systems the interfaces between components, utilities, other systems, and the user often contain the most initial defects.
Re-reading my blog titles occasionally leads to interesting thoughts. Many titles mention change, and most entries have something to do with change. But after all these entries no one has asked me, “Don, what do you mean ‘change’?”. Until recently, I haven’t asked me either.
Can knowing how one system works help you understand how other similar systems work? Do software, project and physical health have much in common?
Engineers make the darndest assumptions. I made one such assumption in “Change and Stable Systems”. The unstated assumption involved starting with a stable system. But what do you do if your system (as in team, project, company) is unstable?
Causal Loop Diagrams (CLDs) share several things with books: they both tell stories, they can be fact or fiction, and they’re both easier to read than write. Keep reading to learn how to write CLDs. The Buddy System The first step in creating CLDs: find a buddy, friend or coworker with whom to share the […]
Causal Loop Diagrams (CLDs) can help us understand complex interactions and events by revealing system structure. Unlike buildings, most systems don’t have visible structure. We notice systems by observing events. When the events form a pattern (usually over time), there’s indication that a system is working. We use CLDs to diagram the system and reveal […]