Analytics: Best Practices
Best Practices: Maintaining Data Quality
This document reviews how to maintain a high level of data quality in your ATS by utilizing Ashby reports, dashboards and alerts. The options for long term data quality are presented, along with a summary of the most common challenges and a data quality checklist.
Best Practices: Managing & Analyzing Archive Reasons
This guide aims to review what makes for a good set of and how to set your team up for success. With archive reasons in place, a set of example analyses to explore results is given, wherein the common field names and report types are reviewed.
Evergreen Jobs/Postings
This document reviews Evergreen Jobs/Postings in Ashby. If you are looking to set up evergreen jobs and openings in Ashby All-In-One, please check out Openings Management .
How do I report results in a specific timezone?
This document will teach you how to use Ashby's timezone options to customize report results. When creating reports in Ashby, the default behavior is to display results in the user's timezone.
Utilizing Stage Groups
This document reviews how to configure interview stage groups and how to utilize the stage group fields for filtering and grouping in reporting. Ashby permits the definition of key interview milestones which we call stage groups, where each group is a collection of individual interview stages.
Reporting on Candidates vs Applications
This document summarizes the case for reporting on applications as a subject rather than candidates. Applications contain the meaningful features, such as job, department, and interview details that often drive the metrics of interest.