Many inventors have been successful in using trial and error, notably Thomas Edison. However, making a series of single changes is a slow path to innovation, which can be frustrating. It can also fail to find effects where two inputs are acting in concert on an output.
Rapid innovation needs a smarter approach. Structured trial and error involving multiple trials while varying many potential causal factors is ultimately a faster and safer way to achieve process understanding.
There is an implication in the term “trial and error” that you do not know what is going to happen in advance. Sometimes a change you make will be an improvement. Sometimes not. The important thing is that trial and error studies are an investment in learning.
But most importantly, actively changing a system or process to observe what happens is a powerful way to establish causal relationships between inputs and outputs. By contrast, passive collection and analysis of happenstance data can show strong correlations among variables. However, as we know, correlation is not causation.
Learn in this webinar how innovative companies use structured trial and error to stay ahead of competitors, reducing time to market, gain insights into their processes faster, more efficient, and more reliable.
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