As an Idea Guru we’ll help you learn strategies to align experimentation goals with business goals, use metrics to help drive future experimentation ideas, define problem statements, and craft effective data-drive hypotheses.
Concepts addressed in this certification:
- Foundations of experimentation cycle and program structure
- Aligning experimentation goals with business goals
- Connecting revenue to experimentations
- Primary, secondary, and monitoring metrics
- Using direct and indirect data to develop experiment ideas
- Defining problem statements
- Crafting hypotheses using the Problem > Solution > Result framework
- Prioritizing ideas with a defined framework
- Best practices for managing hypotheses
- Documenting and collaborating on hypotheses in Optimizely Program Management
- Best practices for creating business requirements documents
- Defining experiment components: Pages, Events, Audiences
- Basic experiment QA using the Previewer
For those who prefer to follow a study-guide instead of reviewing eLearning, we also offer this study guide which provides you articles and other content designed to prepare you for the certification exam.
The certification exam can be accessed at Idea Guru Level 1 certification.
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.
Experimentation is an iterative cycle. Learn how to develop processes for your experimentation program and improve your optimization methodology.
The best experimentation programs align closely with the goals of the business. Learn how in this course.
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.
Learn to explore data from your analytics, heat maps, and other tools to take your experimentation program to the next level.
Use your data to identify the problem that matter to your business, and then generate effective solutions to address these problems.
In this course, you'll learn how to define your primary and secondary metrics and create roadmap of future experiments.
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, you'll develop a prioritization framework to ensure you are focusing on the most impactful experiments.
In this course, learn about Adaptive Audiences and how it allows you to deliver relevant experiences based on visitor interest.
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.
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!
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.