Problem Solving and the Scientific Method: Its What We All Do

All endeavors are bound by an elegant universe we call reality wherein the two dimensions of time and space establish the landscape for the intertwining dance between the two natural forces of change and complexity. It is within this arena that the key ingredients of people, contextual practices, and automation converge to bridge the chasm between vision and reality. However, throughout our endeavors across domains (and independent of any particular domain), the more change and complexity one attempts to address, the more change and complexity one breeds — it is a vicious circle riddled with risks and opportunities.

Everything we do, in the large (or at a macro level), involves problem solving and, and in the small (or at a micro level), involves the scientific method. Whatever we do, it involves problem solving and the scientific method around a problem and solution!

Problem solving entails progressive analysis of the problem and synthesis of a solution. The scientific method involves analysis, which entails forming and testing hypotheses, and the scientific method involves synthesis, which entails refining hypotheses based on the results of the tests, thus, ultimately moving toward a solution to the problem.

This is what iterative and incremental development is all about! This is what Scrum’s “inspect and adapt” is all about!

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