Simplicity of the geniuses
We’ve always been fascinated by geniuses like Leonardo Da Vinci, Albert Einstein, Steve Jobs, Paul McCartney or John Lennon. They all share one common characteristic: Their inventions are simple. Or rather: The final result seems simple.
Albert Einstein’s formula E=mc² has a very simple form, even if the underlying theory is revolutionary and tremendously powerful.
The iPhone is very easy to use and has a simple interface, even if it is a complex technological device.
Paul McCartney’s melodies and chord progressions are quite simple and easy to play, even if the Beatles songs are elaborate and sophisticated.
Remaining simple is very difficult
For each of these examples, the final result is easy to communicate and to remember. But behind this apparent simplicity, there is for each of them a deep understanding of the complexity of their respective domain.
Jonathan Ive very well summarized this concept of simplicity:
“Simplicity isn’t just a visual style. It’s just not minimalism or the absence of clutter. It involves digging through the depth of the complexity. To be truly simple, you have to go really deep.” (“Steve Jobs”, Walter Isaacson, Simon & Schuster)
Unfold - Fold
One of our university professors also explained this approach with the notion of “unfold – fold”. In order to find a solution to a problem, you first need to “unfold” all the different components of the problem, down to the finest details. Then you can start “folding up” again to a final solution, using a different path.
This concept is the inspiration and foundation for Ingensol’s way of working. We dive very deep into the complexity of the problems we have to solve by following a top-down analysis approach. We want to understand every aspect, every dimension and every constraint, in every detail. Then we abstract by grouping or consolidating several components, layer by layer, going bottom-up.
As a result, we define ingenious solutions that are easy to understand, to communicate and to remember.