A live panel for your candidate pipeline
time-to-fill and source-of-hire, not a spreadsheet nobody updates

The problem in recruitment and staffing agencies

Most staffing agencies can answer “how many candidates do we have” only approximately, and “which source actually produces placements” usually not at all. Candidates arrive through referrals, job boards, social posts and direct outreach, get tracked inconsistently across a CRM, a spreadsheet and a recruiter’s personal notes, and by the time a placement happens, nobody can trace it reliably back to where that candidate first came from. Industry estimates suggest 25 to 40 percent of candidate source data goes untracked or misattributed in agencies without a structured pipeline, which means a meaningful share of marketing and sourcing spend is allocated on guesswork rather than on what has actually worked, and that guesswork compounds every quarter a new budget decision is made on the same incomplete picture.

Time-to-fill is the second number agencies need and often cannot produce reliably. Clients ask how long a typical placement takes for a given role type, and the honest answer requires knowing exactly when a requisition opened, when a candidate was identified, interviewed, approved and placed, stage by stage. Without a system recording those timestamps, the answer becomes an estimate based on recent memory, which is usually optimistic and occasionally wrong in a way that damages a client relationship when reality catches up.

Placement rate by source, by recruiter and by client account is the number that should drive where an agency spends its sourcing effort, and it is exactly the number that is hardest to produce from a spreadsheet updated inconsistently by several people.

Multi-client and multi-branch agencies face a sharper version of the same problem: each client expects its own report, in its own format, on its own schedule, and producing that by hand from a shared spreadsheet means either giving every client the same generic numbers or spending real hours each month rebuilding a custom view. Agencies in this position often end up with the worst of both: reports that take too long to prepare and still do not give the client the specific number they asked about, because the underlying data was never structured to answer it in the first place.

What we build for recruitment and staffing agencies

A live funnel dashboard. Every candidate shown by stage, from first contact through screening, interview, approval and placement, updated as events happen rather than as of the last time someone remembered to update a spreadsheet.

Source-of-hire tracking. Referral, job board, social, direct outreach and any channel your agency uses, tagged at intake and carried through to placement, so you can finally see which source produces candidates who actually get hired, not just candidates who apply.

Time-to-fill and placement-rate metrics. Calculated from real timestamps at each pipeline stage, broken down by role type, client account or branch, so a reporting call can answer “how long does this usually take” with a number instead of a guess.

A candidate CRM with real search. Every candidate searchable by skill, language, availability, document status and history, so a recruiter filling a new opening can search existing candidates instead of starting intake from zero, which also makes the intake agent’s pipeline described in our recruitment AI agent solution immediately useful rather than a one-time funnel.

Stale-pipeline alerts. A candidate or requisition that has not moved stage in a defined window gets flagged, so a promising candidate does not quietly drop out of the process because nobody followed up.

CSV export and client-ready reporting. Every metric exportable for a client report, and dashboards built to be screen-shared directly in a reporting call rather than rebuilt from scratch each month.

Per-client and per-branch views on one shared warehouse. Each client account or office gets its own dashboard and export format, while the underlying data stays in one place, so you are not maintaining a separate spreadsheet system per relationship.

How it works in 3 to 6 weeks

1. Week 1: audit of current tracking. We map what systems and spreadsheets currently hold candidate data, what is tracked consistently and what is not, and agree on the metrics that matter most to your clients.
2. Week 1-2: data model and connectors. We design the pipeline stages and connect to your ATS, CRM, intake channels and spreadsheets, with a raw layer so history is preserved.
3. Week 2-4: dashboard and CRM build. Funnel view, source tracking, time-to-fill and placement-rate calculations, candidate search, built with the recruiters who will use it daily.
4. Week 4-5: internal testing and reconciliation. We check the numbers against what your team already knows from memory and fix any mismatches before anyone relies on the dashboard for a client call.
5. Week 5-6: launch and handover. Full rollout, CSV export configured for your reporting format, documentation handed over.

What it costs

Prices follow the analytics service packages; the exact figure depends on how many sources and client accounts need connecting.

Typical results

Agencies that move from spreadsheet tracking to a structured pipeline typically recover a meaningful share of the 25 to 40 percent of source data that goes untracked or misattributed without one, which directly improves decisions about where to spend sourcing effort. Time-to-fill reporting commonly becomes reliable enough to quote to a client with confidence instead of a rounded estimate, since it is calculated from real stage timestamps rather than recalled from memory. Stale candidates and requisitions typically get caught and revived faster once an alert exists, rather than being noticed only when a client asks why a role is still open, which is usually the worst possible moment to discover it. Our own numbers are in the case studies linked below.

Why Senator Media

• We built the candidate scoring and event logging behind a staffing agency’s live recruitment bot, and the warehouse and dashboard discipline behind it in our analytics hub serving two brands across two countries.
• We reconcile the dashboard against what your team already knows before launch, so the first time you show a client a number, it has already been checked.
• Fixed price agreed before work starts, with a working demo every week.
• CSV export and documentation are built in from day one, so the panel keeps working for your reporting even without us involved later.
• We design the data model around the questions your clients actually ask in reporting calls, not around whatever a generic ATS happens to export.

Pipeline analytics tell you what is happening; many agencies pair this with an AI agent running candidate intake and first-round screening, or look at the broader analytics service for warehouse and monitoring work beyond recruitment.

Tell us what your current pipeline tracking looks like and which metrics your clients actually ask for, and we will send back a fixed price and a three-to-six-week plan: get in touch.