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In a world where infinite data is instantly available, critical thinking and the ability to learn quickly are the long-term competitive differentiators.How to improve critical thinking To improve critical thinking, follow the same four-step process many of the world’s top consultants follow: analyze the most relevant data, interpret that data to create actionable solutions, present the findings in a compelling manner, and thoughtfully evaluate the success of the solutions involved. Analysis: When faced with an actual problem to solve, too many professionals fall victim to analysis paralysis.It is available in Kindle, paperback, and hardcover formats.
Prioritize what’s needed through the lens of that initial hypothesis and test it for validity. Interpretation: Once the relevant data is identified and collected, the goal is to make connections between ideas and convert them to actionable insights.
If it holds, double down on that path of reasoning. Frameworks and mental models are great tools to evaluate abstract ideas and translate them to the real world.
As an engineer, your technical skills are likely already finely honed.
Yet, it may be that colleagues with weaker technical skills are getting ahead. The truth is, even in the world of engineering, technical skills are only part of the answer.
With all the data available today, information gathering can go on forever, extending to cranking through formulas and formatting reports and dashboards.
How many times have you heard, "Wait, we haven’t analyzed all the data yet…?
A great approach to structuring an individual output is the Pyramid Principle.
It starts with situational context, describes complicating factors, and then formulates overarching questions and sub-questions to set up the analysis.
This naturally follows an agile, iterative approach that loops back upon itself until a sufficiently accurate answer can be reached, and other interested parties can understand and accept the result. Every industry is being disrupted, and the very nature of work is changing.
Research indicates that up to 40% of human work will be automated within 10 years.