How to QA Your Experiment
Before you publish an experiment live to your visitors, it's important to make sure it looks and works the way you expect. Optimizely X provides a few tools to help you QA your experiments and campaigns and in this course, we'll show you how to use them.
In this course, you'll learn how to answer the following questions:
- What are the QA tools available to me in Optimizely X?
- How can I use the QA tools to ensure my experiment runs correctly?
When all of the course elements are marked Completed, return to the learning path by clicking the path name in the breadcrumb at the top of the page.
In the first part of a series of how-to courses, you will learn the first steps to implementing full stack, including installing the SDK and becoming familiar with the datafile, and learn to build your first feature.
Let's jump into Full Stack and learn a little bit about what SDKs are for, what the datafile is, and how to build our first feature!
Optimizely Rollouts is a free feature flagging solution development teams can use to roll out features confidently, target key audiences, and easily roll back poor performing features. This course offers insights to the benefits of feature flags and where they can be used in development workflows.
Optimizely Rollouts uses feature flags to separate code deployment from feature launches in your environments. This course focuses on the basic technical aspects of building and using Optimizely's free feature flags to roll out features confidently, target key audiences and easily roll back poor performing features.