Leverage Data to Drive Experiments


Knowing how to read and utilize your analytics is the cornerstone to effective experimentation. Analytics offer insight into your visitors' preferences and behaviors that help you find problems they're having with your app and website.

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

  1. How can customer feedback and analytics inform your hypothesis?
  2. What benefits are there to analyzing data prior to building your experiment?
  3. What can analysis teach you about which pages might be best for experimentation?

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


Create Feature Flags with Optimizely Rollouts

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.


Setting Up Your Experimentation Program Structure

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.


Analysis in Program Management

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.


Team Functionality

In this course, you will learn how to set up and manage your team in Program Management.