Write an Effective Hypothesis
Your experiment is only as good as your hypothesis. With a well-crafted hypothesis, you establish your problem, solution, and your expected results, establishing a context that you can analyze when your experiment is complete. It acts as a throughline you can use to connect your last experiment to this one, and this experiment to the next, scaffolding your experiments over time into a truly effective optimization program.
In this course, you'll learn how to answer the following questions:
- What impact can a specific, evidence-based hypothesis have on an experiment’s effectiveness?
- How do you link a hypothesis to business goals?
- How can a hypothesis help you effectively leverage experiment results?
- What are the elements of a hypothesis?
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.