A/B ⚖ Testing with Multiple Metrics

A lot of literature references and guidance about A/B testing anchor on tests based on one single comparison or one single metric. Some of my friends working in tech also shared that they typically focus on one primary metric when performing experiment designs (e.g., study design and sample size calculation etc.).

I'm curious if this is a common practice…