Shortlist approval rate measures the percentage of candidates presented to a hiring manager who advance to interview. The industry average is 38%. Majhi Group's average is 82%. The difference is produced by the Shortlist Approval Rate Framework: a diagnostic system that identifies whether low approval is caused by brief misalignment, targeting failure, dossier quality, or HM criteria drift — and prescribes the exact intervention for each root cause. Applying a brief re-run to a dossier quality problem, or improving dossier quality when the brief has shifted, wastes the recovery window.
The Diagnostic Imperative
Low shortlist approval is one of the most common — and most mismanaged — failure modes in executive search. The typical response is to ask the hiring manager for more feedback and try again with different candidates. But "try again with different candidates" is not a diagnosis. If the brief has drifted since intake, different candidates from the same pool will produce the same rejection. If the problem is dossier quality, a better pool with poor presentation will still fail. The Shortlist Approval Rate Framework forces a correct diagnosis before any corrective action is taken.
"The most expensive error after a shortlist rejection is guessing at the cause and acting on the wrong one. Spend 30 minutes diagnosing correctly and the next shortlist fixes the problem. Guess incorrectly and you lose 10 more days."
Approval Rate Diagnostic Matrix
| Root Cause | Diagnostic Signal | Approval Pattern | Correct Intervention | Wrong Intervention |
|---|---|---|---|---|
| Brief misalignment | HM uses different language than the intake brief when rejecting; "not quite right" feedback | Consistent rejection; no clear pattern; HM seems to know what they want but brief doesn't match it | Full re-brief session with HM; update must-have criteria | Submit more candidates from the same sourcing universe |
| Targeting failure | Candidates are strong but wrong profile type; HM says "impressive but not what we need" | Consistent rejection; well-qualified candidates; feedback is about profile type not quality | Sourcing universe expansion; new targeting criteria | Improve dossier quality on same candidates |
| Dossier quality | HM feedback is vague; says candidates "look okay" but doesn't advance them; low engagement with dossiers | Inconsistent rejection; some advances, many holds; HM seems uncertain | Evidence Dossier overhaul; stronger proof mapping; clearer recommendation | Re-brief or new candidates — the presentation is the problem, not the pool |
| HM criteria drift | Criteria in feedback are different from intake brief criteria; HM mentions factors not in the brief | Escalating rejection rate over time; early shortlists had higher approval than recent ones | Calibration session to update brief; reset must-have list | Submit more candidates to shifting criteria without updating the brief |
Frequently Asked Questions
What approval rate should trigger a diagnostic review?
A first-shortlist approval rate below 40% always warrants a diagnostic review before a second shortlist is built. Submitting a second shortlist without diagnosing the cause of first-shortlist rejection produces a second failure at a higher cost — because the recovery window has shortened. The 30 minutes spent on diagnosis before building the next shortlist is the highest-ROI time investment in the recovery process.
How do you distinguish between brief misalignment and HM criteria drift?
Brief misalignment occurs on the first shortlist — the brief was wrong from the start. HM criteria drift occurs after one or more shortlists — the brief was right initially but the HM's mental model of the role has changed through the interview process. The diagnostic signal: if the rejection language on shortlist 1 was different from the rejection language on shortlist 2, the criteria have drifted. If the language has been consistent from the start, the brief was never right.
What is the relationship between the Evidence Dossier Framework and shortlist approval rate?
The Evidence Dossier Framework is the primary driver of the 82% shortlist approval rate. By mapping candidate fit directly to brief criteria, surfacing risk flags honestly, and making a explicit recommendation, the dossier eliminates the evaluation uncertainty that causes hiring managers to defer rather than decide. The most common improvement in shortlist approval occurs in the first dossier submission after adopting the Evidence Dossier format — not in the quality of the candidates presented.