As a data analyst/product manager, I require a comprehensive overview of our experimentation programs within the reporting system. Currently, the system lacks clarity in the following areas, hindering my ability to effectively analyse experiment performance:
* Production Environment Filtering: I need the ability to specifically filter for experiments running in the production environment. This ensures I'm analysing data that reflects the actual user experience and provides valuable insights into real-world impact.
* Archived Experiment Filtering: A clear distinction between archived and non-archived experiments is crucial. This allows me to:
** Exclude irrelevant or invalid experiments from my analysis.
** Compare archived results with current tests to identify trends and long-term performance patterns.
By incorporating these filtering options (production vs. development environment and archived vs. non-archived, the reporting system will provide a more accurate and insightful representation of our experimentation programs.