Quality of Hire Analytics
Updated
Bridge ATS & HRIS data together to view recruitment outcomes.
Clients leveraging Greenhouse or Lever as their ATS system will have access to new fields across all of our analytics reporting pages to better understand the successes and outcomes of their recruitment efforts.
With Quality of Hire analytics, answer questions like:
- Which recruiter(s) bring(s) in our top talent?
- What application sources are successful in filling department-specific roles?
- Do internal candidates or referrals have longer tenures?
- Which recruiters or sources have the lowest/highest “mishire” rates?
Available ATS Fields
Your ATS fields are located towards the bottom of your filter and breakdown lists. They are marked with a [ATS] tag to identify them easier.
A few examples of our standard ATS fields:
- [ATS] Recruiter
- [ATS] Coordinator
- [ATS] Application Source
- [ATS] Candidate Demographic Information
- and more!
Check out all of your available ATS fields in your Filter Settings.
*Note: If a candidate is associated with a field that has multiple values (e.g. multiple hiring managers), Knoetic will select the first value associated with the field.
Adding ATS Fields to Analytics Reports
Your ATS fields are available in any Filter, X-Axis, or Data Groups selection options. These are located towards the bottom of the list. You can search "ATS" to find and identify them more easily.
Example Report: Department by Application Source
Use Case: We're interested in seeing what Application Source is most successful in hiring for specific departments or job titles.
- Log in and visit Explorer Analytics
- Set your Time Period to "On > Today" and click Apply
- Change your X-Axis to "Department" (or Job Title, Cost Center, etc)
- Change your Data Groups to "Application Source"
- If helpful, change your chart display to Percentage
In the example below, you'll notice a few trends, such as:
- Finance has the most active employees (37%) from LinkedIn
- BizOps has the most active employees (43%) from Indeed
Example Report: Tenure by Recruiter
Use Case: We're interested in understanding if certain recruiters bring on employees that stay with the company longer.
- Log in and visit Explorer Analytics or Attrition Analytics
- For Explorer reports, set your Time Period to "On > Today"
- For Attrition reports, set your Time Period to a any date or date range
- Change your X-Axis to "Tenure Bucket"
- Change your Data Groups to "Application Source"
- If helpful, change your chart display to Percentage
In the example below, you'll notice a few trends, such as:
- Jon has the most hires with a 3-5 year tenure
- Mary has the second most hires with a 3-5 year tenure
- Mary also has the most hires who have a 5+ year tenure
Example Report: Tenure by Application
Use Case: We're interested in understanding if employees that were internal candidates or referrals have longer tenures at our company.
- Log in and visit Explorer Analytics
- Set your Time Period to "On > Today" and click Apply
- Change your X-Axis to "Tenure Bucket"
- Change your Data Groups to "Application Source"
- If helpful, change your chart display to Percentage
In the example below, you'll notice a few trends, such as:
- Employee Referrals make up 36% of employees with 5+ year tenures
- Indeed makes up 27% of employees with 0-3 month tenures
Example Report: Attrition by Application Source
Use Case: We're interested in understanding if certain application sources are better for longer tenures, or lead to a higher percentage of "mis-hires" (i.e. employees that leave within their first 6 months).
- Log in and visit Attrition Analytics
- Set your Time Period to any date or time range
- We recommend "time range" for this one!
- Change your X-Axis to "Tenure Bucket"
- Change your Data Groups to "Application Source"
- If helpful, change your chart display to Percentage
In the example below, you'll notice a few trends, such as:
- One employee from the Jobs Page left within their first year
- One employee from LinkedIn left after 3-5 years
