Rebuilding the GrowthBook Visual Editor
Blog post from GrowthBook
GrowthBook's Visual Editor is designed to address common shortcomings of traditional visual editors by offering an AI-first approach that allows users to make changes to a website for A/B testing without coding or relying on engineering teams. Unlike other editors that often require reverting to CSS or HTML for complex tasks, GrowthBook enables users to describe changes in natural language, which the AI then applies instantly on the page. It also incorporates image editing and generation, allowing users to create or modify images directly in the editor. The platform supports imports from Figma or static mockups, facilitating the seamless integration of designs into experiments. GrowthBook's editor is engineered to work with modern web platforms, using durable selectors to avoid issues with dynamically generated class names, ensuring variations persist through site updates. It includes features like a manual mode for precise control, global code editors for advanced customizations, and mechanisms to eliminate flicker, ensuring experiments run smoothly without bias. The interface supports multiple languages and offers a transparent change-tracking system, enhancing usability and control for diverse teams.
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