Simplicity is not what most people think it is.
People assume “simple” means “easy.” Or worse, “basic.” So they chase clever strategies, build bloated systems, and burn out in the name of optimization. That’s the trap. Let’s break down the biggest pitfalls in simplification work and how to actually simplify with intelligence through a Problem Solver Blueprint.
1. Confusing Simplicity with Laziness
Problem: People strip too much away and lose function.
Analysis: Simplicity isn’t minimalism. It’s essentialism, doing only what matters most. When teams remove constraints or nuance in the name of “speed,” they end up with vague direction.
Fix: Use the Simplicity Cycle. Always ask: “What value does this add?” Don’t remove complexity if it’s adding clarity. Cut what confuses, not what works.
2. Adding Layers to Look Smart
Problem: Overcomplication to prove intelligence.
Analysis: When someone explains something simply, it makes you feel smarter. But when they complicate things, they’re often masking uncertainty.
Fix: Use “The Toyota 5 Whys” to get to the root cause of your problem, then explain it back as if talking to a 10-year-old. If you can’t? You don’t understand it yet.
3. Solving the Wrong Problem
Problem: Teams often chase symptoms, not causes.
Analysis: Without a clear problem statement, simplification becomes decoration.
Fix: Begin with the question: “What would success look like if we solved this?” Then use Critical Path Analysis to remove distractions in your Problem Solver Blueprint.
