Experimenting On Your Users: A/B Testing & More | Online

About this class

Research, past history, and even gut feelings can give us strong indications of what is likely to happen, but there's no better way to find out than to run a real, live test.

A/B testing is a simple way to put a hypothesis to work, and generate real results and insights from your actual users. In this class, we will learn what is required to run a clean experiment (control vs variable, sample size, significance analysis, etc) that can create significant and actionable results.

Takeaways

• Outline and setup a true A/B Test
• Define and explain the importance of sample size, significance, control, variable
• An introduction to more advanced techniques, such as multivariate testing