The Shortest Distance

“All complex systems that work evolved from simpler systems that worked.” – John Gall; Gall’s Law

We’re always looking for ways to get better and faster at what we do. I was thinking the other day about how in Geometry the shortest distance between two points is a straight line.  Look at this image I created:

Straight Line

“A” and “B” represent directions. Perhaps these include research, design, and implementation. In the middle there is a decision point. Either way, whichever direction you go, you’re not taking the most optimal path. Both “A” and “B” have right angles, or in this example, extra work.

Now look at this image:

Straight Line

A new path, “C”, has been established. This is the most optimal path to take. It has a shorter distance and is a simpler solution.

Strategy: Keep it simple! The best way to think of this is that by introducing “turns” we increase complexity. These are simple drawings and most projects would have many more factors to consider. Imagine the drawing with 10 or 15 angles. Keeping things simple, in order, and straight should be a goal. Obviously, scope changes and things happen, but overall the “keep it simple” model is what I always try to use.

Note: The shortest distance between two points being a straight line is only true on flat surfaces. Introducing depth changes this fact.

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