A/B Testing

Question 1

Opening

Answer 1

Great Question! So as a PM, we frequently rely on A/B testing and other data driven methods to validate key product decisions. The process typically begin with a hypothesis based on user feedback or business needs. For instance, if we believe a new feature or design will improve conversion rates, we’ll start by defining that hypothesis and identiying the primary metric we want to impact, like click-through rates or user engament rate.