There is a systematic approach for understanding complicated systems. All it takes is a bit of predicate logic skills and a fair amount of short term memory. Everything else is drawing patterns, connecting dots, thinking it the other way and similar things that our brain already is quite capable of.
To put it in simpler terms, we can just say that to understand a complex system: we’ll need to get a lot of facts about the system and enough space in our head to fit these facts into, so that drawing out meaningful inference out of them becomes an easy thing to do.
So how do you do this effectively? One way is to gain as much facts / data about the system as possible. One simple thumb rule is that if our motive is to change/innovate/rethink the system, we need to know *everything* about the existing system before trying to work on it. So before going into the rethinking mode, gain as much understanding as possible about how the system works currently.
Secondly, when your brain works out logical results out of these dots you’ve accumulated, question them ruthlessly. Drop a *Why* wherever possible. What you are looking for are those scarce little why-s that might lead you to an alternative route, maybe a better route with better outcomes or maybe not.
One effective way to do this is to have a mind-map, or written notes of the decision tree, of all possible questions and answers that comes out of a certain *why*.
The last step is something that you’ll intuitively know–picking a tree from this map of yours.
I’d like to take you through a little tour of how to understand a complex system with example, but I’ll need a lot more time to do that effectively. That can wait. Will do it sometime later.