What problem does it solve? Sourcing searches often exclude qualified people because of rigid titles, required keywords, sparse profiles, ranking bias, or overreliance on AI matching. This Skill reviews sourcing strategies, talent maps, and search queries through Glen Cathey's publicly documented critical-thinking and dark-matter methods to surface who is being missed and why. ## Core Features & Use Cases - Exclusion and Recall Audit: Inspect required terms, exclusions, and ranking effects to identify qualified candidates who disappear due to title variation, language, geography, or unconventional career paths. - Search Experiment Design: Generate mutually informative query variants, sample top/middle/bottom/sparse results, and record false positives and negatives for iterative revision. - Product UX Review: Evaluate candidate discovery interfaces for match explanation, missing-coverage signals, and broadening controls. - Use Case: A recruiter's Boolean search for a backend engineer only returns candidates with the exact title. Use this Skill to identify adjacent language, dark-matter profiles, and strategic exclusions, then produce a scored review packet with testable query variants. ## Quick Start Use the inclusive-sourcing-recall skill to audit this sourcing strategy and show which qualified candidates the current search excludes.
