How do you A/B test a new feature?

To A/B test a new feature, I would first clearly define the success metrics, such as increased user engagement, conversion rates, or retention. Then, I'd segment users into two groups: a control group receiving the current experience and a test group exposed to the new feature. I would deploy the feature to the test group, ensuring all other variables remain constant. After a statistically significant period, I'd analyze the data to compare the performance of both groups against the predefined metrics. If the test group shows significant improvement, the feature is rolled out; otherwise, it's iterated upon or discarded.