Feature Experimentation & Rollout

FE&R is AB Tasty's server-side experimentation solution, designed to manage feature deployments efficiently using feature flags and context keys. It allows you to implement server-side experiments seamlessly, ensuring robust control and secure handling of your backend experimentation needs.

AB Tasty offers a robust platform for feature experimentation, allowing product teams to test new features before full deployment. With Feature Experimentation & Rollout (FE&R), you can:

Create A/B experiments: Easily segment your audience to test different feature variations simultaneously.
Use Feature Flags: Toggle new features on or off without the need for code deployment, enabling rapid iteration and agile development.
Custom Targeting: Target specific user segments based on criteria such as location, device, or behavior for more precise experimentation.
Real-Time Analytics: Access real-time data and insights to quickly analyze the performance of each feature variation.
Gradual Rollouts: Implement controlled rollouts to deploy features to a limited audience first, ensuring stability before wider release.

Server-Side vs Client-Side Experiments

In the context of feature experimentation, understanding the difference between server-side and client-side experiments is crucial for choosing the right approach:

Server-Side Experiments:

Execution: These experiments are run on the server before the content is sent to the user's device.
Use Cases: Ideal for experiments involving backend logic, database interactions, or when you want to ensure consistency across all devices and sessions.
Advantages: Offers more control, can work with sensitive data securely, and minimizes potential performance impacts on the client.
Implementation in AB Tasty: AB Tasty can integrate directly with your backend systems through APIs and feature flagging controls, enabling precise server-side experimentation and real-time updates.

Client-Side Experiments:

Execution: Conducted in the user's browser or app after the content is received from the server.
Use Cases: Best for UI/UX changes, front-end design tweaks, or when experimentation doesn't require secure or sensitive data.
Advantages: Easier to implement without backend changes, quick to set up, and can provide immediate visual feedback.
Implementation in AB Tasty: Utilize the web editor to make visual changes directly in the browser and leverage JavaScript for testing and targeting, offering flexibility and speed for UI experiments.

AB Tasty supports both server-side and client-side experiments, allowing you to choose the best approach depending on your specific needs and goals, while providing tools to manage, track, and analyze your experiments efficiently.

Flags and Context keys

Feature Experimentation and Rollout (FE&R) allows you to manage feature deployments using flags and context keys. This approach helps control access to features and perform targeted testing.

Feature Flags

Feature flags are used to toggle the availability of features dynamically without deploying new code. By utilizing flags, you can:

Gradually release features to specific user segments.
Conduct A/B tests by directing different versions of a feature to distinct user groups.
Quickly roll back features in case of issues.

Context Keys

Context keys allow you to define conditions for feature access based on user attributes or behavior. Using context keys enables:

Personalization by delivering content based on user preferences or location.
Targeted rollouts by setting specific parameters such as device type or user history.