Time to fill

How to Close a Vacancy Faster — Fix the Bottleneck, Not the Effort

Roles rarely stall because a recruiter is not working hard enough. They stall in one specific place: a brief nobody agreed on, a client who takes six days to review a CV, or a funnel that is too narrow to produce candidates at all. This is how to find which of those is costing you weeks, and what to change this week.

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Find the bottleneck first

Time per presented candidate separates a slow client from a slow search — they need opposite fixes.

Widen the funnel deliberately

Concrete filter changes that add candidates without lowering the bar on the must-haves.

Keep sourcing running overnight

Constant AI monitoring adds qualified people while the role is open, instead of in bursts when you have time.

Step 1 — measure where the days go

Split time to fill into sourcing time and client time. If time per presented candidate is above three or four days, the delay is on the client side and no amount of extra sourcing will fix it. If TPC is low but the pipeline is empty, the problem is reach.

  • TPC = time to fill ÷ accepted candidates — your single fastest diagnostic
  • High TPC → agree a review SLA with the hiring manager before adding more candidates
  • Low TPC, empty pipeline → widen sourcing, not effort
  • Resource intake above ~50 usually signals an unrealistic brief rather than a hard market

Step 2 — widen the funnel without lowering the bar

Most narrow funnels are narrow by accident: a title that only one company uses, a city filter that excludes commuters and remote workers, a language requirement nobody checks in practice. Widen the query, keep the must-haves.

  • Add job-title synonyms — the single biggest lever on candidate volume
  • Relax location to region or remote-eligible, keep it explicit as a preference
  • Turn a hard experience floor into a range and review near misses yourself
  • Search more than one channel: LinkedIn, Telegram, GitHub and job boards surface different people

Step 3 — make the client fast

The fastest closes come from short feedback loops, not from bigger shortlists. Present fewer, better candidates with an explainable reason for each, ask for a same-week decision, and show the client what their review time is costing in days on the role. Data ends that argument quickly.

Step 4 — let sourcing run continuously

A vacancy that only receives candidates when you have an hour free will always close slowly. Constant AI Monitoring re-scans LinkedIn, Telegram, GitHub, job boards and Facebook groups against the brief several times an hour and adds qualified people automatically. The first monitoring day is free, and any day that adds nobody is refunded. The CRM, the pipeline diagnostics and the metrics are free.

Frequently asked questions

How can I reduce time to fill?

Diagnose first: compute time per presented candidate. A high value means client review is the bottleneck and needs an SLA; a low value with a thin pipeline means the search is too narrow and needs title synonyms, wider location and more channels.

Why is my vacancy not getting candidates?

Usually a narrow query rather than a hard market — a single job title, a city-only location filter, or an experience floor that excludes strong near misses. FindHire flags the exact blocking filter and offers a one-click widened search.

How many candidates should I present?

Fewer, with a written reason for each. Long shortlists slow client review, which raises time per presented candidate and lengthens time to fill more than a small shortlist ever does.

Does constant monitoring actually shorten time to fill?

It removes the gaps between sourcing sessions, so candidates arrive on the day they become available rather than the next time you run a search. Any monitoring day that adds nobody is refunded, so the downside is capped.

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