Network overlap with employees
RemoveThe vendor says: “Following Kestrel pages or being connected to Kestrel employees indicates culture fit.”
The six questions
- Fail1. Is it related to the job?
Knowing current employees says nothing about ability.
- Fail2. Does it stand in for who someone is?
Tracks college tier (strong), family income and background (weak). Existing employees cluster in a few colleges, so their networks do too.
- Pass3. Is it the right person?
Connections belong to the account.
- Concern4. Did the candidate publish it, and would they expect an employer to use it this way?
Connections are made socially.
- Concern5. Does it work equally for everyone?
Candidates from colleges Kestrel has rarely hired from start behind.
- Pass6. Is there a less intrusive way?
No less intrusive way to learn the same thing was identified.
If a signal stands in strongly or directly for a personal characteristic (question 2 fails), remove it.
None. A removed signal is not used under any condition.
Evidence
Amazon abandoned an experimental résumé-scoring model after finding it downgraded résumés containing the word "women's" and graduates of two women's colleges. It had learned from ten years of mostly male applicants' résumés.
- US Uniform Guidelines: the four-fifths ruleReference only
A selection rate for any group that is less than four-fifths (80%) of the rate for the group with the highest rate is generally regarded as evidence of adverse impact.
- New York City Local Law 144: bias audits of hiring toolsReference only
Employers using automated employment decision tools must commission an annual independent bias audit reporting selection rates and impact ratios by group, publish a summary, and notify candidates in advance.
Where it fired in the sample
- Aditya Malhotra · LinkedIn · English
“Grateful to the Kestrel alumni who mentored me through placement season.”