Build Your Optimization Team
Your experiments are only as good as their execution, so you need to establish a solid team with a variety of skills to help you get your projects off the ground. Not everyone may have the capacity to build a team solely dedicated to optimization, so planning what skill sets you'll need to borrow and when they'll come into play in the optimization cycle will help you establish a successful optimization program no matter what size operation you're working with.
In this course, you'll learn how to answer the following questions:
- How can you build an experimentation team to maximize your success?
- Who else should be involved in your experimentation process (brainstorming, offering other insight, etc.)?
- What resources and solutions are available if you don’t have the ability to leverage a full planning team?
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.