Blog
Notes on screening, criteria, and hiring well.
AI Resume Screening Versus Keywords - What Wins?
A candidate writes "customer success" instead of "account management." A keyword filter treats them very differently for the wrong reasons. Why evidence-based AI screening produces stronger shortlists than keyword matching at real applicant volume.
Read the article →How to Screen Resumes Fairly and Consistently
A resume screen can fail before a recruiter reads the first bullet. It fails when one reviewer looks for pedigree, another looks for keywords, and a third gives credit for a familiar employer. How to make the process more consistent than any one person's instincts.
Read the article →Best Resume Screening Software for Recruiters
A recruiter with 400 applicants does not need another inbox. They need a defensible way to find the people worth a closer look. How to evaluate resume screening software by workflow, not marketing.
Read the article →EEOC-Compliant AI Hiring Guide for Recruiters
A screening tool can review 5,000 resumes before lunch. That does not make the resulting workflow defensible. What EEOC-compliant AI hiring actually requires: defined criteria, human accountability, and records that hold up.
Read the article →Hiring Compliance That Holds Up Under Review
A recruiter screens 400 resumes, advances 20, and rejects the rest. Six months later, a leader asks: why did these applicants move forward? What compliant hiring looks like when the process can actually be explained.
Read the article →How to Rank Applicant Evidence Without Guesswork
A resume can contain every keyword in the job description and still offer little proof a candidate can do the work. How to define what counts as proof, apply a consistent A-D model, and turn first-pass screening into a repeatable operating process.
Read the article →Enterprise Applicant Screening That Holds Up
When 800 applicants hit a requisition, the problem is not simply reading resumes faster. What enterprise-scale screening actually needs: defined criteria, explained rankings, and a defensible record across thousands of candidates.
Read the article →Staffing Agency Screening That Holds Up Under Review
A client calls at 10 a.m. and wants a credible shortlist by noon. 180 resumes, three recruiters interpreting the role differently. What agency screening should actually do to move at agency speed without becoming a black box.
Read the article →Resume Screening Audit Trail: What to Record
When a hiring manager asks why a candidate was advanced, the answer should not be buried in a recruiter’s memory. What a proper screening audit trail should record, and where teams get it wrong.
Read the article →Applicant Pool Quality Analysis That Drives Hiring
A requisition can attract 300 applicants and still fail before the first interview. How to tell whether your applicant flow is producing qualified talent, and where to fix it.
Read the article →ATS Integrated Resume Screening That Works
Your ATS already holds the applicant record. Bringing structured, evidence-backed evaluation into the workflow your recruiters already use, without handing hiring decisions to a machine.
Read the article →Combined PDF Resume Screening Without the Blind Spots
A 300-page combined PDF shouldn't cost a recruiter a day of hunting for where one candidate ends and the next begins. How to turn it into a defensible, evidence-backed shortlist.
Read the article →Bulk Resume Upload Software That Finds Fit
800 applications, one Friday deadline. What bulk resume upload software should actually do to turn that pile into a defensible, evidence-backed shortlist, with the recruiter still in control.
Read the article →EEOC Compliant AI Recruiting Tools That Hold Up
The EEOC does not certify AI recruiting software as compliant. What that phrase really means, what to look for in a platform, and the questions to ask before you buy.
Read the article →Blind Resume Screening Software for Better Hiring
A recruiter with 600 applicants does not have a time-management problem. They have an evidence problem. What blind screening should actually do, where it has limits, and what to require from a platform before you trust it.
Read the article →AI Interview Questions From Resumes That Matter
A candidate says they “led” a migration or “improved” retention. Those claims look strong and still leave the same question: what did this person actually do? How to turn resume claims into focused interview questions, and the guardrails that keep it defensible.
Read the article →Evidence Backed Candidate Ranking That Holds Up
A recruiter should not have to defend a ranking with, “They had the right keywords.” What a defensible ranking actually shows, why evidence is not the same as certainty, and how to turn gaps into better interview questions.
Read the article →Employer Defined Hiring Criteria That Actually Work
A job description tells the market what role you want to fill. It rarely tells a recruiter how to separate a promising applicant from a qualified one. How to build criteria around evidence instead of keywords, and why weighted priorities beat a flat checklist.
Read the article →Why Resume Screening Without Keyword Matching Works
A candidate can lead an ERP migration or manage a $2 million book of business without using the exact phrase in your job description. A keyword filter may never see them. What evidence-based screening evaluates instead, and where human review stays essential.
Read the article →AI Powered Resume Screening Software: What It Should Actually Do
A 400-resume requisition does not create a hiring strategy. It creates a review problem. What to look for in screening software, how to build criteria before you upload, and a first-pass workflow that produces better interviews instead of just a shorter list.
Read the article →The hiring decision is yours. JAN just makes you superhuman at getting to it.
The data is yours. The preparation is yours. The decision is yours.