DOE — Design of Experiments (What Really Matters?)
Instead of changing one factor at a time, DOE varies several factors together (each at a low and a high level) so you learn their effects efficiently — including interactions (when two factors together do something neither does alone).
The effect of a factor = the average result at its high level minus its average at the low level. A big effect means that factor strongly drives your outcome; a near-zero effect means you can stop worrying about it. SenSight sorts effects biggest-first (a Pareto of effects) so you instantly see the vital few knobs to control.
The effect of a factor = the average result at its high level minus its average at the low level. A big effect means that factor strongly drives your outcome; a near-zero effect means you can stop worrying about it. SenSight sorts effects biggest-first (a Pareto of effects) so you instantly see the vital few knobs to control.
Try it in the app
Try: Load a dataset where a few columns have just two values (low/high) plus a numeric result → open the DOE tab → pick the result and tick the factor columns → Run. The longest bar is your most important factor.