In Q&A, presenters offered technical help: state data centers can explain OD vs WAC differences, recommended stable QWI and multi‑quarter averaging for seasonality, and said QCEW administrative records are used as an annual benchmark; presenters also confirmed use of APIs and Tableau imports.

THECB staff described a tri-agency labor-market analysis using SOC/NAICS/O*NET and an AI agent to group ~800 occupations into ~108 job functions before applying labor-market filters to identify viable program-of-study candidates.

Stephen McCall of PHI presented a four‑step approach—identify partners, define the workforce, specify data needs, and explore data sources—illustrating how to turn policy questions (e.g., ARPA wage effects) into measurable analyses.