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First Principles Thinking: How Breaking Problems Down Improves Decisions

Written by Dr. Shawn Watson · 1 min read
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First Principles Thinking: How Breaking Problems Down Improves Decisions

Most complex problems aren’t difficult because they’re unsolvable. They’re difficult because they’re built on inherited assumptions.

First principles thinking is a problem-solving approach that challenges those assumptions by breaking problems down into their most basic elements. Instead of refining existing solutions, it asks what must be true at the most fundamental level and rebuilds from there.

What Is First Principles Thinking?

First principles thinking involves decomposing a problem into facts that cannot be reduced further. These fundamentals form the foundation for rebuilding solutions without relying on analogy or precedent.

This approach contrasts with reasoning by analogy, where solutions are adapted from existing models or past examples.

Why Assumptions Can Limit Decisions

Assumptions simplify thinking, but they also constrain it. When inherited structures go unquestioned, decisions are shaped by conditions that may no longer apply.

Over time, this can narrow the solution space especially in complex or novel situations where old models stop producing progress.

When First Principles Thinking Helps Most

First principles thinking is especially useful when:

  • Existing approaches stop working
  • Innovation stalls
  • Constraints feel fixed but unexplained
  • Problems span unfamiliar domains

It is less useful for routine, low-stakes decisions where efficiency matters more than reinvention.

Did you know?

Research on problem solving shows that early exposure to existing solutions can narrow idea generation, even when those solutions are high quality. A phenomenon known as design fixation.

References

Wang S, Okada T. How to effectively overcome fixation: a systematic review of fixation and defixation studies. Frontiers in Education. 2023.

Holyoak KJ, Gentner D, Kokinov BN. Introduction: The place of analogy in cognition. In: The Analogical Mind: Perspectives from Cognitive Science. MIT Press; 2001.

Gentner D, Holyoak KJ. Reasoning and learning by analogy. In: Advances in the Psychology of Thinking. 1997.

Wang S, Okada T. How to effectively overcome fixation in problem solving. Systematic evidence that prior knowledge and examples can constrain search and that “defixation” strategies expand solution space.

Innovation under constraints: summary of 145 studies on how resource and process constraints shape creativity, including the role of cognitive fixation when resources are abundant.

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