Investigated driver-recruiting constraints across five trucking accounts, built a bounded $99 diagnostic workflow, sent five direct emails, and documented the experiment without inventing a KPI result.
Field validation — external execution underway
Problem
What this was built against.
Public recruiting signals can suggest friction, but they cannot establish where qualified drivers are actually lost or what that loss costs.
Five priority accounts researched and converted into falsifiable constraint hypotheses.
Five direct emails actually sent on 9 August 2026.
A $99 Driver Recruiting Constraint Diagnostic offer was exposed in outbound.
A complete manual diagnostic was produced for Continental Tank Lines.
The product deployment exists, but the intake path is not production-proven: zero registered Netlify forms/submissions were observed in the source record.
Claim boundary
What this does not prove.
No replies or primary operating answers had been observed at settlement.
No payment or checkout-open evidence had been observed.
No confirmed recruiting constraint or KPI change exists.
Calls were blocked; several LinkedIn/form secondary touches remained manual.
Next evidence event
What would upgrade the proof.
Obtain primary operator data, identify the first verified loss point, deliver a paid/live diagnostic, then measure an intervention against a baseline.