From the course: AI and Data-Driven Decision-Making for HR

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A/B testing HR data or A/B testing and control groups

A/B testing HR data or A/B testing and control groups

From the course: AI and Data-Driven Decision-Making for HR

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A/B testing HR data or A/B testing and control groups

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Here's a rule you should never break whenever you want to recommend some type of important change. First, conduct an A/B pilot test. I strongly urge you to make this rule one of your core business principles. Here's why. First off, the pilot test proves the process works. Second, you'll have some great stories to tell. And third, telling these stories will give you the confidence needed to convince others to move forward with your ideas. A/B testing is a powerful tool used to compare two different approaches to determine which one performs better. The fundamental idea is to divide your employees or processes into two groups, the A group and the B group. Each group will use a different version of the initiative you're testing. For example, let's say you're considering two new training programs to improve employee productivity. You have one group of employees, group A, go through a live version of the new training course, while another group, Group B, uses an online version of the same…

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