Optimizely Feature Experimentation Features

Test changes to a screen by administering the change to a portion of visitors and measuring conversion.

Able to set any user action as the conversion goal of the test.

Able to adjust both the percentage of total traffic being tested and the proportion of the tested traffic that sees A and that sees B.

Able to view or adjust the necessary confidence level of your test.

Test multiple changes at once by directing traffic to a random combination of all changes being analyzed.

Break down a population of users by demographics, sequence actions, time, and able to build custom segments.

Access pre-built and custom reports and dashboards.

Deploy different versions of app screens based on user demographics, user activity, etc. with out-of-the-box configuration.

Show different versions based on any variable set up to be tracked on the app's back end.

Segment data by various user demographics to find deeper trends within specific user groups.

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Able to test that event and variable setup are reporting data accurately.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Grants users a centralized dashboard for organized feature flag management.

Grants users granular control over feature rollouts and rollbacks.

Allows users to track the status of deployed features and application performance via automated alerts.

Empowers users to smoothly deploy features in a variety of environments.

Allows teams to test features in production for select target groups without deploying.

Presents users with a low-code interface to build and maintain feature management systems.

Provides reporting and analytics tools to quantify the results of the experiment.

Allows for the testing of multiple variables at a time during a single test.

Allows multiple experiments to be deployed simultaneously.

Allows mobile web pages to be tested during A/B experiments.

Uses algorithms and continuous data entry to enable the technology to develop insights and optimize testing.

Requires little to no knowledge of coding. Usually this means it comes with prewritten code.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives