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
Archive reasons can reveal useful trends throughout your recruiting process, from top-of-funnel activity to late-stage outcomes, such as why candidates decline offers. This guide covers how to structure your for analysis and how to explore the results using common fields and report types.
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 .
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.