What We Set Out to Understand
Resume screening is one of the most judgment-dependent parts of hiring. Recruiters build instincts over time — a sense of what a strong resume looks like. We wanted to test whether those instincts hold up against data.
We looked at 5,000 resumes across 12 industries, comparing screening decisions against actual outcomes: did shortlisted candidates make it to interview? Did they receive offers? How did they perform in the first 90 days?
Finding 1: Skill Coverage Is the Strongest Predictor
The single most predictive factor for shortlisting success — and subsequent offer — was skill coverage: how many of the JD's required skills appeared in the candidate's profile.
- Candidates with high skill coverage but unrecognised company names: shortlisted 68% of the time
- Candidates from well-known companies with low skill coverage: shortlisted 34% of the time
- Performance difference between these two groups in the role: minimal
Finding 2: Resume Format Is Nearly Irrelevant
Teams frequently deprioritise resumes for formatting reasons — inconsistent bullet points, long paragraphs, non-standard layouts. Our data found that formatting explained less than 5% of the variance in shortlisting outcomes when skills and experience were controlled for.
Candidates filtered out for formatting reasons are often rejected for something that does not predict job performance. AI scoring removes this entirely — it evaluates substance, not presentation style.
Finding 3: Employment Gaps Are Misused as a Filter
Employment gaps were flagged as negatives in manual screening at a high rate. Our analysis found no statistically significant relationship between gaps and interview performance or 90-day outcomes.
- Gaps under 3 months: no measurable impact on role performance
- Gaps of 3–12 months: slight positive correlation in technical roles (period of directed learning)
- Gaps over 12 months: worth exploring in conversation, but not a screening-stage filter
Finding 4: Notice Period Is Not a Proxy for Candidate Quality
Immediate availability and 60-day-notice candidates performed identically in role outcomes. Yet notice period was used as a de facto filter in 63% of the manual shortlisting decisions we reviewed.
Filtering by notice period at the screening stage likely eliminates strong candidates who simply have longer commitments, not less desirable profiles.
What This Changes About How You Screen
- Build your shortlist on skill coverage and experience fit — not company pedigree or formatting
- Stop using notice period as a screening-stage filter
- Do not penalise resume formatting unless the role explicitly requires documentation quality
- Employment gaps should prompt a conversation in the interview, not an automatic rejection
The Takeaway
The resume is a rough signal. AI scoring sharpens it by isolating what actually predicts good candidates: skills, experience depth, and relevance to your specific role. The proxies that shape manual review — brand recognition, formatting preferences, gap anxiety — are measurable, removable, and largely uncorrelated with the hire quality you are trying to predict.