Executing with Experiment Collaboration By Optimizely Education Published: Oct 7, 2024 Duration 2h Rating 1 star 2 stars 3 stars 4 stars 5 stars Average rating: 0 0 No reviews Favorites Share In your role as an experimentation team member, execute an experiment from start to finish, using Web Experimentation to build and Experiment Collaboration to centralize and standardize all the work and communication surrounding building an experiment. We'll show you how to use cool tools like Proofing & Versioning, text notifications, calendar and timeline views, and how to standardize your experimentation process using workflows. This course is meant to be taken upon completion of the e-Learning series. We will refresh some of your how-to knowledge in this class, but having a foundation will help you greatly. You can also review the online material at any time after this class. Agenda: Use case presentation Gathering ideas with work requests Approving work requests Prioritizing ideas with the Requests page Building a hypothesis/using a workflow to remain aligned Creating and linking the experiment Analyze your data from either tool Iterate - Apply what you've learned and add to your backlog Choose an Upcoming Event There Are No Upcoming Events Check back or contact your administrator to ask about future events.
In your role as an experimentation team member, execute an experiment from start to finish, using Web Experimentation to build and Experiment Collaboration to centralize and standardize all the work and communication surrounding building an experiment. We'll show you how to use cool tools like Proofing & Versioning, text notifications, calendar and timeline views, and how to standardize your experimentation process using workflows. This course is meant to be taken upon completion of the e-Learning series. We will refresh some of your how-to knowledge in this class, but having a foundation will help you greatly. You can also review the online material at any time after this class.
Agenda: Use case presentation Gathering ideas with work requests Approving work requests Prioritizing ideas with the Requests page Building a hypothesis/using a workflow to remain aligned Creating and linking the experiment Analyze your data from either tool Iterate - Apply what you've learned and add to your backlog
