Ktorá z nasledujúcich možností je osvedčeným postupom pri realizácii experimentu?

Testing only one variable per experiment is a best practice because it allows for clear attribution of results. If multiple variables are changed simultaneously, it becomes impossible to determine which specific change caused the observed outcome, making the experiment inconclusive. Assigning two campaigns per experiment branch is unnecessary and adds complexity without improving data clarity. Dividing the audience into too many branches can dilute the statistical significance of each branch, making it harder to detect meaningful differences. Starting with multiple hypotheses is acceptable for brainstorming, but each experiment should be designed to test a single, well-defined hypothesis for actionable insights.