GrowthBook's latest release, Version 2.1, introduces several enhancements aimed at improving the experimentation and development experience. Key features include support for sequential testing and multiple testing corrections to minimize false positives in statistical analyses, with options for Bonferroni and Benjamini-Hochberg p-value corrections. The visual editor now allows multi-page experiments and element reordering, enabling non-technical users to conduct complex experiments without engineering assistance. Significant updates to SDKs for languages like PHP, Python, Ruby, Kotlin, and Java enhance code quality and developer experience, offering features such as encrypted feature flags and improved logging. The new Saved Groups API facilitates programmatic updates to user groups, while the project-scoped stats engine allows teams to choose between Bayesian and Frequentist statistics. Additional features include exportable audit logs for compliance, a data source schema browser in the SQL editor, Redis support, and various other improvements and bug fixes.