GrowthBook 5.0 is an advanced, AI-native, and warehouse-native platform that unifies feature flags, experimentation, and product analytics into a single solution. Designed to help teams build, ship, and improve at scale, this major version introduces powerful capabilities like the AI Visual Editor for building no-code experiments directly in the browser.

With a focus on reducing friction from idea to insight, GrowthBook 5.0 lets AI agents create flags and draft experiments using 25 open-source Skills. Users can also explore complex product data effortlessly through the in-app AI Assistant. Combined with faster queries, enhanced governance features, and a streamlined experiment workflow, GrowthBook 5.0 empowers development and product teams to innovate safely and efficiently.

Pros of GrowthBook 5.0

Unifies feature flags, experimentation, and product analytics into one platform
No-code experiment building in the browser via the new AI Visual Editor
Agent-ready capabilities with 25 open-source Skills for drafting experiments and creating flags
Warehouse-native infrastructure ensuring faster queries and stronger governance

Cons of GrowthBook 5.0

Requires familiarity with warehouse-native architectures
Advanced AI features may require adaptation for teams new to AI-native workflows
Steeper learning curve for users transitioning from separate analytics or feature flagging tools

Frequently Asked Questions

What is GrowthBook 5.0?

GrowthBook 5.0 is an AI-native and warehouse-native platform that combines feature flags, experimentation, and product analytics into a single solution with a streamlined workflow.

What new AI features are included in GrowthBook 5.0?

GrowthBook 5.0 includes an AI Visual Editor for no-code browser experiments, an in-app AI Assistant for exploring product data, and agent support utilizing 25 open-source Skills to create flags and draft experiments.

Is GrowthBook 5.0 warehouse-native?

Yes, GrowthBook 5.0 is built as a warehouse-native platform, allowing for faster queries and stronger governance over your product and experimentation data.