OUR APPROACH · QUALITY STANDARDS
The bar every Venn search has to clear.
Five standards apply to every search Venn runs — regardless of practice, role, stage, or buyer type. The standards exist to produce one outcome: a hire who's still there at month twenty-four.
THE STANDARDS
Five commitments. Every search. Every practice.
The standards below are operator-grade — concrete enough to ask a current vendor about, structural enough to enforce on every search. The bar is the same whether the role is a $90K SDR or a $400K CFO.
A calibrated slate, not a long list — every candidate backed by written reasoning.
A Venn slate is the candidates the calibration produces — no more, no less. Every candidate on the slate has cleared the AI technical screen and the consultant's deep interview, and arrives at the hiring manager with the screen transcript, the consultant's written assessment, and the scorecard match attached. The hiring manager doesn't repeat work that's already been done.
The scorecard is signed off before sourcing. It doesn't drift mid-search to fit what the market is producing.
If the market reveals the original scorecard is wrong, the search pauses and re-calibrates explicitly with the hiring manager. The criteria don't quietly broaden until something fits. A search that ends with a hire the scorecard wouldn't have selected is a search that lost discipline — and that's the kind of hire that doesn't stay.
Every candidate evaluated against the same structured rubric. Every candidate.
The AI technical screen is the consistency mechanism — same questions, same scoring criteria, same rubric, every candidate at every tier. Bias isn't removed by claiming neutrality; it's removed by structural enforcement of identical evaluation conditions. Every candidate is introduced to the screen personally by the consultant — what to expect, why it's structured the way it is, what happens next. Candidates aren't handed off to AI; the conversations that matter are run by a person. The screen is the consistency tool; the consultant owns the relationship.
Every advance, reject, and slate decision is backed by written reasoning attached to the candidate record.
The decisions are auditable. The hire is defensible. A buyer who wants to know why a candidate advanced — or why a candidate didn't make the slate — gets a written answer, not a recollection. The artifact survives the search; the reasoning survives the consultant.
The only outcome that counts is whether the hire is still there at month twenty-four.
Every other standard exists to produce this one. Slate composition, calibration, evaluation, written reasoning — none of them matter if the hire leaves at month nine. Quality in recruiting isn't the appearance of rigor in the process. It's whether the seat is filled and stays filled across the window the company hired for.
THE META-METRIC
Every standard exists to produce retention.
Every recruiting firm in the world claims to be high-quality. The claim is empty unless it can be checked against an outcome the buyer can measure. Slate quality is hard to verify in the moment. Calibration discipline is hard to verify from outside. Evaluation consistency is hard to verify without the artifacts. Retention is the one quality metric that doesn't require trust. The hire either stays through month twenty-four or doesn't.
This is the structural reason the 24-month guarantee and the quality standards are the same argument. The guarantee isn't a marketing posture about confidence in the work. It's the commercial expression of the only quality metric that holds up under audit. Venn covers the full retention window because retention is the standard that produced the methodology, not the other way around.
Quality is what's still true at month twenty-four.
Want to walk through the standards against a current search?
A twenty-minute conversation is the fastest way to see how the bar applies to the role you're running — and what would have to be true for Venn to clear it. No pitch — just a working conversation.
Book an intro call →Or email contact@vennadvisory.ai