Hiring
Fewer mis-hires, faster time-to-productive. The candidates who get through are the ones the work actually rewards.
So you hire the people who can genuinely do the work — and your team runs more efficiently from day one.
Built on 85 years of selection-science research — Schmidt & Hunter (1998), Sackett et al. (2022).
Four stages, one through-line — typically delivered as an 8–12 week engagement. We start in your actual workplace and end with hires who perform measurably better.
Why not just buy SHL, Criteria, or HireVue? Because they sell a catalog. We build the test from your operation — and tie it to your outcomes, so it sharpens with every hire instead of decaying.
Generic tests measure aptitude. We measure fit to the work you actually do — because we mapped it first.
Get hiring right and almost every downstream metric improves — productivity, retention, customer outcomes, compliance, margin, team morale. Get it wrong and those same metrics quietly compound in the other direction. Most companies are losing this game before onboarding even begins.
Across high-volume operational hiring — care coordination, contact centers, claims, dispatch, technical support — roughly one in three new hires leaves within their first year. Most of those exits trace back to a fit that was never actually tested for. That’s the gap HireGauge closes.
Industry estimate · commonly reported across operational sectorsEvery percentage point you cut from that number compounds across your operation.
A pre-hire assessment isn't a hiring tool — it's a workforce tool. When the signal at the top of the funnel gets sharper, six things downstream get better at once.
Fewer mis-hires, faster time-to-productive. The candidates who get through are the ones the work actually rewards.
Higher throughput per FTE. The path to measurably better on-the-job performance starts with screening on what predicts it.
Documentation integrity is non-negotiable where it defends billing or safety. We screen for it directly, not by proxy.
Right-fit placement reduces early churn. People stay when the role plays to what they're actually good at.
A real high-performer profile gives managers something to coach toward — not gut feel and quarterly hope.
Match people's strengths to the seats that bring out their best. Fewer mismatched roles, fewer quiet costs.
Stakeholder interviews. Define the roles, and define what "success" actually means in them.
1–3 day site visit, then write-up. The differentiator and the legal backbone of the assessment.
Item bank, scoring rules, section floors, briefing-then-evaluation work-sample task.
Your branded candidate portal and the hiring-manager dashboard, configured for your roles.
Run a pilot cohort. Calibrate thresholds and section floors against real candidate data.
Go live. Hand over the dashboard and the 90-day validation loop. The compounding begins.
Every hire feeds performance data back in. The engine learns the signature of your high performers — which makes your next hire, your seat assignments, and your coaching smarter. You don't buy a tool. You start a compounding system.
Your company-specific test screens for the capabilities that predict success in your roles, not generic aptitude.
Work hours, productivity, quality and behavioral signals feed the engine — through the dashboard you already use.
Cross-reference outcomes against behavioral profiles to identify what your high performers actually have in common.
Better hiring rubrics, better seat assignments, sharper coaching targets — which makes the next hire better still.
Phase 1 answers "is this person performing acceptably?" Phase 2 asks "what patterns predict success — and how do we hire for them?"
Each client makes the model smarter · the next test more accurate
Glowing fake quotes are how unknown vendors lose B2B trust. Until we publish real client case studies, here's the substance the methodology actually rests on.
Designed and deployed inside an operating clinical workflow — a 5-section, 115-point assessment built directly from observed process. Validation runs against real 90-day performance data, not vendor stock studies.
Reference build · Axil HealthWe don't just claim scores predict performance — we prove it. Each engagement is structured around a criterion-validity loop, the same standard the Uniform Guidelines on Employee Selection Procedures require.
Method · Criterion-related validationThe selection methods at the heart of HireGauge — work samples, structured assessment, GMA — sit at the top of every meta-analysis of what predicts on-the-job success. The ordering hasn't moved in decades.
Source · Schmidt & Hunter (1998) · Sackett et al. (2022)Mid-market companies where the wrong hire is expensive — financially, operationally, or in patient and customer outcomes — and where the right hire has a distinctive shape that off-the-shelf tests can’t see. We’ve gone deepest in healthcare services, but the methodology travels.
Industries we work with
Where the methodology really earns its keep
Tell us a little about the role you'd assess and we'll walk you through a build similar to it — item types, scoring, validation, candidate experience.
A 30-minute call to scope whether HireGauge is the right fit for your role. If it isn't, we'll tell you directly.