Recruiter Fit Ledger for External Search Firms

A pre-send interrogation and scorecard tool for heads of talent at founder-led SaaS companies who use 2-10 external recruiters. Before a recruiter submits a candidate as a 'strong fit', the hiring team enters a small structured claim card manually: target role, claimed strengths, explicit risks, expected interview-stage reach, and confidence. The product forces the evaluator to pre-commit challenge questions and acceptance thresholds, then tracks whether that recruiter’s high-confidence submissions actually convert through interview scorecards, offer, and 90-day retention. The pain removed is not generic recruiting admin; it is repeated fee leakage from search firms who oversell candidate fit and hide behind vague enthusiasm. AE is specifically suited because its adversarial grading loop can pressure-test fit claims before interview loops, and its structured constraint language can maintain recruiter-, role-, and claim-level promotion/demotion rules as outcomes resolve. This is an evaluator-side recurring workflow with native ground truth in the ATS, short feedback cycles, and clear renewal economics.

A recruiter fit ledger is a defensible evaluator-side product because it converts vague agency claims into pre-committed, reality-graded predictions, directly reducing costly misfires for talent leaders who manage multiple search firms.

Killed: evidence_search_exhausted.