This epic encompasses a multi-phase improvement effort to increase the accuracy of search metrics and the dashboards that present them. The phases include:

1. Improve current dashboards: review current metrics for accuracy and documentation, and address sampling issues
2. 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)
3. Review dashboards again, determine whether new metrics should be more broadly applied, and remove unnecessary metrics
4. 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