Scenario

You are testing several growth-oriented product variants at the same time instead of a single treatment against control. Each variant targets the same conversion funnel, and early reads suggest one or two variants may be outperforming control. You are concerned that testing many variants at once could inflate false positives and lead to the wrong launch decision.

Question

How would you handle multiple comparisons when testing several growth variants at once? Explain how you would decide on the analysis approach, interpret significance across variants, and make a launch recommendation.