Version 0.7.0 of the GrowthBook experimentation platform introduces several notable features designed to enhance user experience and analytical capabilities. Users can now track experiment results over time using a new Date dimension, providing insights into performance trends and potential novelty effects. Dimensional analysis has been improved with full statistical results, including risk assessment and percent change graphs, especially useful for dimensions with limited unique values. Experiment Segments and SQL Filters have been added for more precise control over experiment analysis, while customizable per metric minimum percent change settings help define significance thresholds. Additional improvements, such as the ability to clone metrics and enhanced filtering and sorting options, further streamline data management and analysis.