The best experimentation programs align closely with the goals of the business. Learn how in this course.
How can you tap into the collective mental power of your organization to drive experimentation? In this course, we'll give you some ideas to transform your culture.
You can't be a lone wolf forever. In this course, we'll help you build your experimentation team and nurture a culture of optimization.
In this course, you'll learn how to define your primary and secondary metrics and create roadmap of future experiments.
This course will take you step-by-step through building an experiment in Optimizely.
This course will teach you how to use the Optimizely Editor to create variations for your experiments.
This course will teach you the various ways in which you can QA your Optimizely experiment before launching it.
This course will teach you how to implement your snippet for Optimizely Web so that you can start experimenting.
In this course we'll introduce you to the information available on Optimizely's Results page.
How can you make more impactful changes to ensure that your next experiment will be statistically significant?
This course will teach you how to prepare your website for Optimizely Web by creating Pages, Events, and Audiences.
Learn to explore data from your analytics, heat maps, and other tools to take your experimentation program to the next level.
A losing variation can sometimes feel disheartening, but take comfort in knowing you've tapped into something your visitors care about!
This course will teach you how to manage projects in Optimizely, and add collaborators with the appropriate permissions.
In this course, you'll learn how the Optimizely Stats Engine calculates results to enable business decisions.
In this course, you'll develop a prioritization framework to ensure you are focusing on the most impactful experiments.
Use your data to identify the problem that matter to your business, and then generate effective solutions to address these problems.
Experimentation is an iterative cycle. Learn how to develop processes for your experimentation program and improve your optimization methodology.
Figuring out where to experiment is hard. In this course, you will learn how to use existing site analytics to create high impact tests relevant to your industry.
A winning variations is almost always a reason for celebration. But what you do next matters more!
At the heart of the scientific method is the hypothesis. Using the framework presented here, you'll learn how to write effective hypotheses for your experiments.
In this course, experimentation leads will learn the benefits of using Optimizely's Program Management and how to set it up to help your teams with ideation and planning for your experiments.
In this course, you will learn how to incorporate Program Management into your experimentation workflows to better leverage you and your entire team's talent to facilitate a successful optimization program.
In this course, you'll learn how to use Program Management to more effectively analyze the results of your experiments and iterate on new experiment ideas.
In this course, you will learn how to set up and implement Optimizely Full Stack.
In this course, you will learn how to create an experiment, feature flags and feature rollouts using the Optimizely Full Stack product.