# A/B Testing

### Onboarding A/B Tests – the math by example

In the previous post I ran through why it makes sense to run onboarding experiments and measuring them under an A/B or A/A/B methodology. I stuck to the qualitative principles and didn’t get “into the weeds” of the math. However, I promised to follow up with an explanation of statistical significance for the geek minded. →

### Mobile Onboarding A/B testing simply explained

In earlier posts about Google’s and Twitter’s onboarding tips we mentioned they would absolutely be measuring the impact of Tips and Tours to get the maximum uplift of user understanding and engagement. One method is just by simply looking at your analytics and checking the click-thru rate or whatever other CTA (call-to-action) outcome you desired. →