Underwriting talent is the practice of rating a candidate, or a hire being made inside a portfolio company, against a defined bar using verifiable evidence rather than impression. It borrows the discipline a fund already applies to underwriting a deal, and points it at the person, before an offer goes out instead of after a bad one is signed.
Underwriting a deal means pricing risk from evidence: revenue, retention, the terms, the team. Underwriting talent applies the same posture to a hire. Instead of a resume skim and a gut call after one interview loop, the candidate is rated against the specific bar for that role, using the record they actually produced: shipped work, prior outcomes, references checked against dates and titles rather than taken at face value.
In practice this means every candidate gets scored on the same fixed set of dimensions, with the evidence for each score attached, so a hiring manager can see exactly why a candidate cleared or missed the hiring bar instead of relying on how the interview felt in the room.
Hiring volume has made gut-feel screening arithmetically impossible. Ashby's 2026 State of Startup Hiring report, drawn from more than 100 million applications, found that applications per hire have tripled since 2021 and now average over 300 per open role. No recruiter reads 300 resumes with equal rigor, so teams either add headcount they don't have or let the bar slip on whichever applications got read first. Underwriting talent with a consistent rubric is what makes it possible to hold the bar at that volume, which is exactly the problem portfolio talent programs at funds like ours are built to solve.
The other reason to underwrite on evidence rather than a black-box score: the largest study of AI hiring algorithms to date, covered by Fortune in May 2026, found clear racial disparities across the tools it tested, with over a quarter of Black applicants affected by adverse impact in some roles. A score that can't show its work is a liability, not a shortcut. Underwriting talent the way ScoringFactory does means every point on the score traces back to a specific piece of record, which is what makes the score auditable instead of a guess dressed up as math.
Traditional screening runs on resume keywords, a phone screen, and whatever the loudest interviewer remembers two weeks later. It is fast to start and slow to trust, because nobody can reconstruct why a candidate passed or failed once the loop is over. Underwriting talent keeps a human making the final call, but it forces the bar to be written down once and applied the same way to every candidate, with the evidence kept next to the score. That is the difference between a hiring decision you can defend in a debrief and one you can only vouch for.
No. An applicant tracking system stores applications and tracks pipeline stage. Underwriting talent is the scoring layer on top: a defined bar, weighted dimensions, and evidence attached to every point, which most ATS platforms don't do natively.
Yes. The score narrows and grounds the decision, it does not replace the hiring manager. A human-in-the-loop still makes the final call, with the evidence in front of them instead of a memory of the interview.
Both. Funds use it on their own hiring, and increasingly on the hires their portfolio companies make, since a bad first engineering or GTM hire at a portfolio company is a risk to the fund's return, not just the founder's team.
Bring a candidate or a portfolio company hiring decision. We'll score them against your bar, live, with the receipts behind every number.