Hire Based on Real Capability
Follow a hiring team and an applicant through a TalentSync scenario that connects real work requirements, candidate-owned experience, and evidence for better interviews.
Skills-Based Hiring & Onboarding with LERs
Follow an operations-coordinator applicant from relevant work examples through hiring review and a supported first assignment, with a clear handoff of appropriate context.
The Résumé Is Not Enough: Why Applicant Tracking Systems Need Better Talent Data
Applicant Tracking Systems have made hiring easier to manage, but they still rely on incomplete résumés and inconsistent data. LERs, talent passports, and contextual evidence can help employers understand candidates more fully while preserving human judgment and candidate agency.
Balancing the Promise and Peril of AI-Generated Personal Statements with UTPs.
AI can help people reflect, write, translate, and communicate—but it should never manufacture the life behind the words. Explore how truth, evidence, voice, provenance, and individual review can keep AI-supported personal statements authentic.
AI, Data Standards, and Better Skills-Based Hiring
Understand the distinct roles of data standards, AI assistance, and human judgment—and follow a skill claim into a more useful hiring conversation.