• Directed Analytics

The Power of Rapid Iteration

Updated: Dec 22, 2019

Ever wonder why we tend to give up after trying to solve problems 2 or 3 times? Or, why it takes us so long to test out our theories?

The Basics

In scientific terms, rapid iteration is a problem-solving or computational method in which a succession of approximations, each building upon the one preceding, is used to achieve a desired degree of accuracy. So, rapid iteration is just what its name implies. It’s the process of performing task(s) at the maximum allowable speed to get to the desired result as quickly as possible.


The speed at which anything can happen is set by its inherent limitations. Think about an internal combustion engine and some of the actual limitations present that ultimately represent the difference in how fast a vehicle can go in theory versus how fast it can go in real world applications. The entire process works to convert chemical energy into mechanical energy. The more energy per unit transferred to the drivetrain the more the horsepower. Easy enough on paper, but in reality, engineers must overcome friction, heat and pressure limitations to name a few because they all pose danger if not accounted for. As you reduce inefficiency for each limitation, you will approach the theoretical speed of the vehicle. Once 100% efficiency is reached, you will have reached the max speed attainable for the system.

This is the same for rapid iteration. Once we identify our limitations, we can then form our hypothetical basis for our system and determine how fast we can arrive at our desired outcome assuming each progressive iteration moves in the positive direction. The speed in which we move toward our solution takes on an asymptotic curve because as each iteration confirms or disproves components of our hypothesis, the subsequent step toward the answer will be greater than the previous. Indeed, the rate of change is unknowable in the beginning for unsolvable problems, but the trajectory of the overall change is very reliable.

4SightGPS focuses on complex system multiplied by 100.

The Dangers

The dangers of rapid iteration lie in overconfidence, the lack of understanding of the scientific method & how to apply it, and an unreliable plan or roadmap. Solving any problem is analogous to travelling toward a location on a map. Some places are easy to get to without using a GPS or map while other places are nearly impossible to find if the only information you have is your best guess of where it is and how to get there.

In both examples, part of the danger lies in the unknown; albeit more so in the latter case. If you assume you can get from point A to B at the fastest speed possible without taking into account bumps in the road, you can very well end up parked in a ditch or worse. And if your roadmap to your destination is incorrect, going fast will only get you no where faster. So is the case of rapid iteration in complex systems. The speed of iteration must be governed by the principles of that system as to proceed as quickly as possible in a way that avoids negative consequences.

4SightGPS is a technology enabled solution

In Practice

To use 4SightGPS effectively, it involves leveraging existing technologies to build new solutions to complex and unsolvable problems. Today, 4SightGPS exists in the form of an integrated software. The software integrates people, processes, existing data systems and endpoint solutions. It creates the structural bonds needed for efficient communication and forms the pathway for effective communication between nodes. It provides one of the best and quickest ways for the practitioner to go from what they assume to be true to proving it.

There are many consultants, processes and applications to solve large scale problems, but what 4SightGPS is known for is its ability to replace fragmented systems with one that is inherently ready for practitioners to tackle complex problems head on with minimum waste in effort. Professionals can now put their hypotheses into a rigorous technology sufficient for next world problems.

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