Demo data — synthetic, not real clinicians/facilities
1 · Gap Decomposer
2 · Match Assist
3 · ROI / EBITDA
4 · Pilot Results
Open shifts
—
Filled today
0
Avg time-to-fill
—
Credential checks
0 blocked
GP on the table / yr
$11.5M
GP reclaimed (session)
$0
Floor run-rate (commit)
$1.6M
Credential exceptions
0
Executive view · value & ROI behind the scheduler tool — Match Assist (tab 2) is the day-to-day scheduler view.
Open postings · click to view
Executive · the killer question — answered with data
How much of the unfilled gap is actually a matching problem?
Only the matching-latency slice is recoverable by a faster engine. The rest is supply scarcity or credential-readiness — a different intervention. We measure the split before we build.
—
Executive · the value model
ROI / EBITDA — commit to the floor, earn the ramp
The conservative number we commit to, and the upside the pilot data earns. Every input recomputes the waterfall and the payback live.
Year-1 floor — the number we commit to payback ~5 mo
$1.6M/yr
GP on the table
$11.5M
Matching-addressable
$4.6M
Ramp (earned)
$5.1M/yr
Floor as EBITDA growth
+3.0% of GP
Executive · week 8 — what we hand the CFO
Pilot Results & Guardrail
A measured lift on the pilot cohort, annualized into the run-rate that funds Phase 2 — and an exception counter that has to stay at zero.
Pilot-cohort fill rate
82.5%→86.1%
baseline → pilot
Time-to-fill (days)
4.1→1.6
a ranked list, not a spreadsheet
Credential exceptions
0
the circuit breaker — must stay 0
Annualized run-rate (floor we commit to)
$1.6M/yr
extrapolated from pilot lift, net of cost
Payback
~5 mo
vs. ~$0.75M activation
GP reclaimed — session
$0
from your Scheduler-view assignments
13-wk contracts → the 8 weeks deliver a validated annualized run-rate, not booked revenue. The ramp to $4–5M is earned as Phase-2 opens non-NLC supply.
ClearShift · scheduler matching + executive value · demo-grade existence proofGuardrail: no match without verified, in-state credentials