Understand the Results Page
You can't get a long-term benefit from your experiment and iterate it out into new development if you don't analyze and understand your results. To understand your results properly, you need to know how to read the results page. Properly reading the results page will also give you the tools to decide when to declare an experiment inconclusive and will give you clues about how to move forward from a loss.
In this course, you'll learn how to answer the following questions:
- What information do I have available to me on the results page?
- What am I looking for in my data?
- What insights can I glean from these results?
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.
Optimizely Rollouts uses feature flags to separate code deployment from feature launches in your environments. This course focuses on the 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.
This course will teach you the various ways an experimentation program structure can be set up, as well as which individuals should be involved and what various teams might look like.
In this course, you'll learn how to use Program Management to more effectively analyze the results of your experiments and iterate out into new experiment ideas.
In this course, you will learn how to set up and manage your team in Program Management.