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statistics
Importance:

Design of Experiments

Also known as: DOE, experimental design, design of experiments

Planning tests so you can vary several factors at once and still know which one moved the result — far more efficient than one-at-a-time.

Design of Experiments

DOE is the statistical craft of structuring a test so a handful of runs reveal which factors matter and how they interact — instead of the slow, naive ritual of changing one thing at a time. I learned it formally as a Six Sigma Green Belt, running it on manufacturing processes.

It’s exactly what good product experimentation should be: decide what you’re trying to detect before you start, vary deliberately, and design the test so the answer is unambiguous when it arrives.