Where Should You Experiment?


Identifying a problem is only helpful if you can see a path to solving it. Knowing the most effective places to run experiments will help ensure that they give you the best possible information about your visitors.

In this course, you'll learn how to answer the following questions:

  1. What types of pages are best for experimentation?
  2. How do you find elements on a page that should be experimented on?
  3. How do you analyze what changes should be made in an experiment?

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.

New Courses


Adaptive Audiences- Technical Course

In this course, learn about Adaptive Audiences and how it allows you to deliver relevant experiences based on visitor interest.

full stack

NEW! Optimizely Full Stack Developer- Build a Feature

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.

full stack

NEW! Optimizely Full Stack- Build a 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!


NEW! Strategies for Using Optimizely Rollouts

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.