Framework Summary

The Executive Hiring KPI Matrix organises hiring performance metrics into three dimensions: operational (speed and throughput), quality (candidate and hire quality), and financial (cost and ROI). For each metric, the matrix defines the calculation method, the industry benchmark, the Majhi Group target, the owner, and the reporting cadence. The matrix is designed to drive weekly action at the recruiter level, monthly review at the VP People level, and quarterly strategic discussion at the CEO/CFO level.

Why Most Hiring Dashboards Are Misleading

Most hiring dashboards track the wrong metrics in the wrong way. Time-to-fill is reported as an average — which masks the distribution. Offer acceptance rate is reported without segmenting by role level — which conflates executive and volume hiring. Cost-per-hire is often calculated without including the cost of failed searches or the cost of vacancy. The Executive Hiring KPI Matrix defines each metric precisely, specifies what to include and exclude in the calculation, and provides the industry benchmark that makes the target meaningful.

"An average time-to-fill of 45 days means nothing if 20% of searches take 120 days and 80% close in 30. The KPI matrix tracks distribution, not just average — because failure hides in the distribution."

Executive Hiring KPI Matrix

DimensionKPICalculationIndustry BenchmarkMajhi TargetReporting Cadence
OperationalTime-to-fillDays from mandate signature to offer acceptance65–90 days (VP/C-suite)30–45 daysPer mandate + monthly portfolio
OperationalPipeline velocityDays per stage vs. SLOVaries by stageAt or below SLO per stageWeekly per mandate
OperationalSourcing-to-shortlist ratioCandidates sourced per shortlist delivered40:1 industry average25:1 Majhi targetPer mandate
QualityShortlist approval rate% of presented candidates advancing to interview38% industry average80%+ Majhi targetPer mandate
QualityOffer acceptance rate% of offers accepted75% industry average (VP level)90%+ Majhi targetPer placement
Quality90-day retention rate% of placed candidates still in role at 90 days82% industry average (VP level)95%+ targetQuarterly
QualityHiring manager satisfactionPost-placement NPS from HM (1–10)Not systematically tracked in industry8+ targetPer placement
FinancialCost per placementTotal fees divided by placements in period20–25% of CTC (retained)20–25% (at target)Monthly
FinancialCost of vacancy per open day(Annual OTE / 252) x role impact multiplierRarely calculatedCalculated per mandate at intakePer mandate
FinancialRecovery playbook ROIValue of velocity improvement vs. cost of interventionNot tracked in industryTracked per playbook typeMonthly
FinancialPlacement fee vs. cost of bad hireRetained fee vs. cost of 18-month mis-hire replacementMis-hire costs 2–3x annual salaryRetained fee = 20–25% of 1x CTCAnnual review
FinancialYTD hiring spend vs. budgetActual vs. budgeted fees and internal costsN/AActuals within 5% of budgetMonthly

Frequently Asked Questions

Which KPI most accurately predicts search success?

Shortlist approval rate at the first presentation is the strongest leading indicator of overall mandate success. A first-shortlist approval rate above 50% almost always produces a successful close within the SLO. A first-shortlist approval rate below 30% is a strong predictor of either a brief re-run (adding 10–14 days) or mandate collapse. The Evidence Dossier framework is the primary driver of shortlist approval rate.

How do you calculate the 90-day retention rate for executive placements?

Track each placed executive at 90 days post-start date and record: still in role (success), separated voluntarily (quality issue), or separated involuntarily (fit issue or business change). Exclude involuntary separations due to company restructuring from the quality calculation. Majhi Group's 90-day replacement guarantee is supported by a retention rate target of 95%+ — meaning the guarantee is triggered in under 5% of placements.

What is the most commonly omitted KPI in executive hiring reporting?

Cost of vacancy. Most organisations track cost-per-hire (the fee paid) but not cost-of-vacancy (the business value of the seat being empty per day). For revenue-critical roles, cost-of-vacancy is typically 3–5x the placement fee over the duration of the search — making the retained fee look cheap by comparison. Omitting cost-of-vacancy from the financial reporting produces a systematically distorted view of hiring ROI.