Change Details

This epic encompasses a multi-phase improvement effort to increase the accuracy of search metrics and the dashboards that present them. The phases include: # Improve current dashboards: review current metrics for accuracy and documentation, and address sampling issues # Identify and add new metrics that capture user intent via user survey mechanisms and dig into second-try search metrics (e.g. did you mean suggestions) # Review dashboards again, determine whether new metrics should be more broadly applied, and remove unnecessary metrics # Add new metrics to track back-end errors, interleaved A/B test results, Go box analysis, second-try and suggestions, and sub-metrics within those

This epic encompasses a multi-phase improvement effort to increase the accuracy of search metrics and the dashboards that present them. The phases include: # Improve current dashboards: review current metrics for accuracy and documentation, and address sampling issues # Identify and add new metrics that capture user intent via user survey mechanisms and dig into second-try search metrics (e.g. `did you mean` suggestions) # Review dashboards again, determine whether new metrics should be more broadly applied, and remove unnecessary metrics # Add new metrics to track back-end errors, interleaved A/B test results, Go box analysis, second-try and suggestions, and sub-metrics within those

This epic encompasses a multi-phase improvement effort to increase the accuracy of search metrics and the dashboards that present them. The phases include: # Improve current dashboards: review current metrics for accuracy and documentation, and address sampling issues # Identify and add new metrics that capture user intent via user survey mechanisms and dig into second-try search metrics (e.g. `did you mean` suggestions) # Review dashboards again, determine whether new metrics should be more broadly applied, and remove unnecessary metrics # Add new metrics to track back-end errors, interleaved A/B test results, Go box analysis, second-try and suggestions, and sub-metrics within those