Professional Services · Scenario 19

Recruitment Agency

Roles sit open for weeks while candidates pile up at one clogged stage. We measure the pipeline like a factory line and cut time-to-fill where it actually jams.

Method · Throughput analysis

The situation

A recruitment agency lives on speed: the firm that submits the right candidate first usually wins the fee. But most agencies can’t see where their own pipeline stalls — CVs piling up unscreened, submissions waiting on client feedback, offers dragging — so they push more candidates into the top instead of unclogging the middle.

Time-to-fill is treated as luck, not a measurable process, and recruiters’ effort scatters across roles instead of concentrating where a placement is closest.

38 days
avg time-to-fill
Push harder
the only lever used
Hidden
where it bottlenecks
No metrics
per pipeline stage

Where we dig for the truth

We instrument every stage — applied, screened, submitted, interviewed, placed — to find the true bottleneck and the conversion at each step.

ATS stage timestampsSource-to-hire dataRecruiter activity logsClient feedback timesRole type & seniorityOffer & acceptance rates
The placement pipelineWhere candidates stall todaySTEP RATEApplicants1,200Screened43036%Submitted to client18042%Placed5430%

The steepest drop is applicants to screened — a capacity bottleneck, not a candidate shortage. That single stage sets the whole pipeline’s pace.

Our approach — Pipeline Throughput & Time-to-Fill

Throughput analysis (the same logic as a factory line) finds the constraint stage and focuses effort there: faster screening for the clog, structured client-feedback SLAs for the wait, and a tighter shortlist so submissions convert. Little’s Law links work-in-progress and throughput to predict and cut time-to-fill.

Recruiters are steered toward the roles closest to placement, and stale roles are triaged out, so the desk’s hours compound instead of scatter.

From pushing harder to unclogging the line1Time each stageCapture how longcandidates sit at everypipeline step.2Find the constraintIdentify the bottleneckthat caps totalthroughput.3Fix the clogAdd capacity and SLAsexactly where the linejams.4Focus the deskWork the roles closestto a placement first.
Time-to-fill by role type — before vs afterDays from open to placed0d20d40d60d80d28d18dAdmin34d22dSkilled trade41d27dProfessional52d34dTechnical68d46dExecutiveBeforeAfter

Clearing the screening bottleneck cuts time-to-fill across every role type — the agency submits sooner and wins more fees.

What changes

Same recruiters, a pipeline that flows. Representative for a mid-size staffing desk.

Representative 90-day movementAvg. time-to-fill38 d25 d▼ -34%Placements / recruiter3.1/mo4.4/mo▲ +42%Submit-to-place30%41%▲ +11 ptsMonthly revenue$210k$300k▲ +43%
Placements per monthAfter de-bottlenecking013264053M1M2M3M4M5M6
Why this is not "social media management"
We didn't just tell recruiters to source more candidates. We found the one stage strangling the whole pipeline and fixed it, so placements rose without more effort. Throughput analysis is operations science applied to a sales desk.

Frequently asked questions

How do you reduce time-to-fill?
We instrument every stage of your pipeline — applied, screened, submitted, placed — to find the one stage that caps throughput (often screening), then add capacity and SLAs exactly there. The agency submits sooner and wins more fees.
What is throughput analysis?
It is the operations-research approach used on factory lines: find the constraint that limits the whole system's output and focus improvement there. Little's Law links work-in-progress and flow to predict and cut time-to-fill.
Isn't sourcing more candidates the fix?
Not if they pile up at a clogged stage. We unclog the line so placements rise without more effort. Book a marketing audit.

Want this run on your numbers?

Give us your ATS stage data and we’ll show you exactly where your pipeline jams.

Book a marketing audit
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