Project and account configuration
Custom fields in Feature Experimentation
Optimizely Feature Experimentation Custom fields add required or optional metadata to flags and rules, going beyond standard properties like name, key, and description. When you require collaborators to enter these fields when they create a flag or a rule, you add structure and accountability to your workflow.
Manage collaborators in Feature Experimentation
Optimizely Feature Experimentation Invite collaborators to your Optimizely Feature Experimentation project to let your team manage flags and experiments. After adding your teammates as collaborators, you can give them Granular roles and permissions https //docs.
Manage projects in Feature Experimentation
Optimizely Feature Experimentation Feature Experimentation projects help organize experiments within a single application or service that you are developing. You can use projects in any way to organize your work, but in most cases, you should set up one project for each application or service.
Manage environments in Feature Experimentation
Optimizely Feature Experimentation Optimizely Feature Experimentation lets you confirm behavior and run flags in isolated environments, like development or staging. This makes it easier to deploy targeted deliveries and experiments in production safely.