Feature flags and experimentation
Run feature flags and experiments from the same platform, with support for launching tests, rolling out changes, and organizing work around shared metrics.
GrowthBook is a platform for feature flags, experimentation, and product analytics. GrowthBook 5.0 adds AI agents, a rebuilt visual editor, Product Analytics GA, and flag governance for Cloud and self-hosted teams.
GrowthBook is a platform for feature flags, experimentation, and product analytics. In GrowthBook 5.0, the company groups those capabilities into a single workflow so teams can build, ship, and improve products using shared data and governed release processes.
The release adds AI agent support, a rebuilt AI Visual Editor, generally available Product Analytics, flag governance controls, and faster experiment setup. The source materials describe the product as available on Cloud and for self-hosted deployments, with pricing that ranges from a free Starter tier to Pro and Enterprise plans.
Run feature flags and experiments from the same platform, with support for launching tests, rolling out changes, and organizing work around shared metrics.
Use the new AI Visual Editor to change page text, styles, layout, and imagery from a browser-based workflow, then preview and launch the variation as an experiment.
Build warehouse-native product analytics with funnels, composable dashboards, metric exploration, and experiment meta-analysis tied to the same metrics used in experiments.
Apply governance guardrails to feature flags with approval workflows, access control, audit logs, and validation tools that help catch bad flags before they ship.
Use GrowthBook skills, the in-app assistant, MCP server, and CLI to let AI agents create flags, configure experiments, analyze results, and draft changes for review.
Speed up experimentation with scheduled starts, cheaper warehouse queries, and streamlined setup designed for higher-volume testing.
Product and engineering teams can manage feature flags, launch experiments, and use shared metrics to decide whether to roll out a change.
Growth and marketing teams can use the AI Visual Editor to create page variations, move sections, change text or images, and launch tests without filing an engineering ticket.
Teams using agents can let tools like Claude Desktop or Cursor create flags, set targeting, draft experiments, and analyze outcomes while keeping drafts under human review.
Data and analytics teams can build funnels, dashboards, and experiment meta-analysis on top of warehouse data and the same metrics used in experiments.
Platform and release teams can apply governance controls such as approval workflows, access control, audit logs, and flag validation to reduce release risk.
GrowthBook 5.0 includes feature flags, experimentation, Product Analytics, an AI Visual Editor, and AI agent support. The launch materials also note governance features for flags and faster experiment workflows.
The pricing page shows GrowthBook is available on Cloud and self-hosted deployments. The launch post says GrowthBook 5.0 is live on Cloud and available for self-hosted deployments.
The launch materials say GrowthBook 5.0 opens experimentation to more of the team, including work in the app, terminal, code editor, and browser. The AI Visual Editor is positioned for growth and marketing teams, while the agent workflow supports users working in tools like Claude Desktop, Cursor, the GrowthBook app, and Slack.
The pricing page shows a free Starter tier and paid Pro and Enterprise plans. It also lists an open source offering and a managed warehouse option on Cloud.
The source materials do not provide a full setup guide in the collected text. They do show that GrowthBook connects to warehouse data and supports Cloud, self-hosted, SDKs, REST API, Slack integration, and native integrations.
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