Most companies manage executive searches the way early pilots flew planes — by feel and instinct. This report benchmarks how sophisticated hiring operations actually are, and what the gap between best-in-class and common practice looks like in the data.
Hiring infrastructure maturity describes the degree to which an organisation has built the systems, processes, and tooling to monitor, manage, and recover its executive search operations. Based on pattern analysis across TA Ops deployments, we identify four maturity levels — with most growth-stage companies operating at Level 1 or Level 2.
| Level | Description | Monitoring | Recovery |
|---|---|---|---|
| Level 1: Reactive | No TA Ops function; each recruiter manages own systems and processes | None — status by conversation | Manual; typically delayed to week 8–10 |
| Level 2: Managed | ATS admin + basic reporting; some process standardisation | Weekly reports; no real-time signals | Manual; triggered by hiring manager complaint |
| Level 3: Optimised | SLOs defined; tooling integrated; capacity tracked; clear performance metrics | Near-real-time; dashboard-based | Manual with defined playbooks; faster detection |
| Level 4: Autonomous | Observability + failure prediction + autonomous recovery; attribution complete | Real-time; system-initiated alerts | System-triggered; recovery executed without human intervention |
Based on Majhi Group's deployment pattern across client organisations, the distribution is heavily weighted toward the early levels. The finding is consistent: most growth-stage companies — even those with dedicated TA functions — have not built the infrastructure to monitor mandate health in real time or detect failure signals before they become established stalls.
The most consistent finding across Majhi Group TA Ops engagements is the magnitude of the operational visibility gap: the difference between what is actually happening inside active searches and what is visible to the recruiting leadership responsible for them. Audit trail coverage — the proportion of candidate evaluations, decisions, and interventions that are documented with rationale — is the clearest single indicator of visibility maturity.
Audit trail coverage at Level 1 organisations averages approximately 9%. That means 91% of candidate evaluation decisions, reference check findings, and offer decisions have no documented rationale. The recruiting manager who inherits a stalled search from this environment cannot determine why it stalled — because nothing was recorded.
A persistent finding across TA Ops audits: tool investment and tool utilisation are poorly correlated. Companies at Level 1 and Level 2 carry tool stacks that are significantly underutilised — not because the tools are poor, but because the organisation does not have the process infrastructure to use them effectively. The tools require TA Ops discipline to deploy; without it, they become expensive line items on a budget that produces minimal observable output.
Moving from Level 1 to Level 4 is not a single-step transformation. The maturity model is sequential: Level 2 requires basic process standardisation and ATS hygiene. Level 3 requires SLO definition and real-time reporting. Level 4 requires observability infrastructure, failure prediction capabilities, and autonomous recovery playbooks. The return on each level transition is significant: Level 1 → Level 2 reduces search failure rates by approximately 15–20%. Level 3 → Level 4 — autonomous infrastructure — produces the step-change outcomes: 50-day average close, 82% shortlist approval, 90%+ offer acceptance.
20-minute confidential search assessment. We assess whether your search approach is optimised for the hire you need — using your actual mandate as working context.
Request a Search Assessment →