Full factorial
Every factor combination — full information.
All 2^k corners are run, so every main effect and interaction is estimable. Complete, but the run count doubles with each factor you add.
What this method tells you
Full factorial is one of the analytical methods Niobia AI surfaces inside the doe & predictive branch. The short readout is: All 2^k corners are run, so every main effect and interaction is estimable. Complete, but the run count doubles with each factor you add.
Where it fits in Niobia
Niobia keeps this method connected to the surrounding workflow, so teams can move from designs into adjacent methods without reformatting data or rebuilding the context from scratch.
Method-specific output, not just a screenshot
Niobia packages full factorial alongside the rest of the doe & predictive stack, so the result stays connected to the raw inputs, the upstream context, and the next method the team needs to run.
Frequently asked
What does Full factorial help a team understand?
Full factorial sits inside Niobia AI's doe & predictive workflows and helps teams turn raw process, materials, or quality signals into a defensible engineering readout.
When should engineers use Full factorial?
Use Full factorial when the question is better answered by that specific method than by a generic summary: it provides the method-specific signal, tradeoffs, and context the broader workflow depends on.
What should I read alongside Full factorial?
The closest companion methods are Central composite, Box-Behnken, Latin hypercube. Reading them together makes it easier to see how Niobia AI moves from one analytical method to the next.