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Where senior searches actually stall — a breakdown

Mapped across a set of Director-and-up mandates, the failure point clusters at calibration far more than at sourcing. The pattern, stage by stage.

By Sachith Rai 9 min read
A professional reviewing documents at a desk

Draft. Figures marked like this are illustrative and pending verification against Recruise placement data & Sachith sign-off before publication.

Key takeaways

  1. Mapped across a set of Director-and-up mandates, the stall point clusters at calibration, not at sourcing.
  2. Sourcing shortfalls are loud and get blamed; calibration failures are quiet and do most of the damage.
  3. The searches that closed fastest weren’t the ones with the biggest pools — they were the ones that recalibrated early.
01

The stall isn’t where everyone looks for it.

We mapped a set of Director-and-up mandates — around thirty-five of them — stage by stage, marking where each one lost time. The intuition going in was that senior searches stall at sourcing: the talent is scarce, the pipeline runs dry. The data pointed elsewhere. Sourcing shortfalls were real but rare. The dominant stall point sat one stage later, at calibration — the searches had candidates and couldn’t agree on whether they cleared the bar.

That misdiagnosis matters because it sends effort in the wrong direction. A team convinced it has a sourcing problem doubles the pipeline, generates more names, and stalls again at the same place — because the bottleneck was never supply. It was an un-reconciled brief quietly rejecting good candidates for reasons no one had examined.

“Teams think they have a sourcing problem. Most of the time they have a calibration problem wearing a sourcing problem’s clothes.”

Sachith Rai · MD & Founder, Recruise

02

Why calibration failures hide.

A sourcing failure announces itself — an empty pipeline is visible to everyone. A calibration failure is silent. Candidates keep arriving and keep getting passed on, each rejection individually defensible, and the pattern only becomes clear in aggregate: the search is enforcing a bar nobody has agreed is the right one. Because no single decision looks wrong, weeks go by before anyone asks whether the standard itself is the problem.

The searches in the set that closed fastest shared one behaviour — they forced the calibration conversation early, often after the first small batch of profiles rather than after the third round of frustration. Recalibrating on week two is cheap and barely feels like a setback. Recalibrating on week ten means admitting the search ran in the wrong direction for two months. The stall isn’t inevitable; it’s what happens when the uncomfortable conversation keeps getting deferred.

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