Experimental Design

Experimental design is the upstream planning that determines whether the results of a test will be meaningful. A poorly designed experiment — one that changes too many variables at once, uses too small a sample to draw conclusions, or measures the wrong things — produces results that can’t be trusted even if the data was collected honestly. In behavior architecture, experimental design matters every time you run a prompt comparison, a training intervention, or a behavioral study: you need to know what you’re testing, what you’re holding constant, how many examples you need for statistical confidence, and what success looks like before you run the test. For behavior architects, developing experimental design skills is one of the best ways to make behavioral iteration more systematic and its conclusions more credible.