Staffing margins live on speed. The agency that lands a clean, evidence-backed shortlist with the client first wins the placement. ShortlistTable runs AI screening across per-client workspaces in parallel — one recruiter, eight active roles, submission packs ready in hours, every verdict overridable by the recruiter.
Staffing differs from in-house recruiting in one fundamental way: you’re submitting many candidates against many roles, often within hours. The recruiter’s throughput is the business model. If they can submit five qualified candidates per role per day, you have a placement engine. If they can do three, your client goes to the agency next door.
The bottleneck almost always sits in the screening step: reading each resume against the same five must-haves, copying fields into a per-client sheet, writing per-candidate fit summaries. We collapse that into one pass — one screening pass produces submission-ready sheets for every active role.
These systems are designed for managing the placement workflow (stages, commission, candidate ownership), not for triaging inbound resume piles. The screening step still lives in a sheet or someone’s head.
Agencies often run candidates against multiple client roles. Without strict workspace boundaries, a candidate from Client A’s pipeline can accidentally appear in Client B’s submission. We isolate per client.
A client doesn’t want 12 PDFs — they want a sheet with per-candidate fit narratives backed by evidence. Writing those by hand kills throughput; we generate them from the screening columns.
Each client gets its own workspace. Candidates from one client never appear in another’s submission sheet. Workspace-level retention and access control built in.
Screen each inbound resume against every open role in the workspace simultaneously. One recruiter, 8+ active roles, one read per resume.
XLSX submission sheets with your firm’s logo, colour, and footer. Configured per workspace, ready to email to the client.
Each candidate in the submission pack has a short fit narrative generated from the screening columns — no more drafting by hand.
Native presets for Bullhorn and JobAdder bulk imports. Drop the export into your ATS for downstream stage tracking.
Multi-recruiter ownership of a single search, with per-recruiter activity tracking for split commission reporting.
| Property | Bullhorn / JobAdder | Per-client sheet | Generic AI ranker | ShortlistTable |
|---|---|---|---|---|
| Per-client workspace isolation | –Manual tagging | –Per file | ✕Limited | ✓Workspace-level |
| Multi-role parallel screening | ✕Sequential | ✕Sequential | –Limited | ✓8+ roles per pass |
| White-label submission packs | ✕Generic | –Manual styling | ✕Not supported | ✓Per-workspace branding |
| Per-candidate fit narratives | ✕Manual | –Manual | –Score-based | ✓Generated from columns |
| Time-to-submission | –Days | –Days | –Hours | ✓Hours |
Tuesday, 8:30am. Eight active roles across five clients. Overnight inbound: 137 resumes across LinkedIn, the agency form, and a referral push. The recruiter opens the workspace and sees the new candidates surfaced under each role.
One pass against the column templates for each role. By 10:30am the per-role tables are populated — verdicts per must-have, evidence per cell, review priority per candidate. The recruiter spends until lunch reviewing the “Review fit” buckets and overriding the few cells the engine called wrong.
Afternoon: submission packs. The XLSX preset assembles a per-client sheet with the agency’s logo, the shortlist, and the per-candidate fit narratives. ClientCo gets 6 candidates for their backend role. ClinicNet gets 12 for their RN role. Both emails go out before 4pm.
Compare this to the alternative: the same recruiter reading every resume sequentially, copy-pasting into a per-client sheet, drafting narratives by hand. Maybe 2-3 submissions out by the end of the day, all rushed, half with inconsistent must-haves.
The wins compound: faster submissions → first-look advantage with the client → higher placement rate → margin.
We export to Bullhorn-shaped and JobAdder-shaped CSVs today; native push integration is on the roadmap. Talk to us if you would want a specific integration prioritised — staffing customers tend to drive that work.
Yes — columns can be shared across tables in a workspace, so you screen each inbound candidate against all open roles in one pass and surface the strongest match.
Agency plans price per workspace with a monthly resume volume, designed so per-resume cost falls as you scale. We don’t price per recruiter seat.
Yes — XLSX submission packs include your firm’s logo, colour, and footer text. Configured per workspace.
Multi-recruiter ownership of a single search is supported, with per-recruiter activity tracking for split commission reporting.
Per-workspace by default. If a candidate appears in multiple workspaces (e.g. submitted to two clients), each workspace has its own record and audit trail — no cross-contamination.
Try the workflow that lets a single recruiter handle eight active roles. Free on the first 25 resumes.