The foundational step with A/B testing is having a goal based on a measurable, reliable metric.
Before you go changing things you need to know that there's a behavior that's accurately measured, and that you want to affect that behavior.
It's also worth noting that you should be measuring as many user goals as possible. This coverage lets you account for unforeseen negative changes in other goals based on an A/B change.
Tools are important, and there's a decent A/B testing library for most given languages or platforms these days, but the methodology behind it can be easily lost.
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
The foundational step with A/B testing is having a goal based on a measurable, reliable metric.
Before you go changing things you need to know that there's a behavior that's accurately measured, and that you want to affect that behavior.
It's also worth noting that you should be measuring as many user goals as possible. This coverage lets you account for unforeseen negative changes in other goals based on an A/B change.
Tools are important, and there's a decent A/B testing library for most given languages or platforms these days, but the methodology behind it can be easily lost.