Data and Research: Building WBL at Scale

Propel research on work-based learning, registered apprenticeships, and workforce development through rigorous analyses, frameworks, and strategic briefs that enable data-driven decision-making.

An instructor in a computer lab lectures to a group of adult learners

Examples of our Work

We’re partnering with five states to build dashboards with clear data visualizations that help policy leaders, learners, colleges and universities, and apprenticeship providers spot emerging labor supply and high-demand areas.

We're working with the Department of Education and the Chamber of Commerce in Indiana to conduct a two-phase project: We first map Indiana's work-based learning and blended learning programs and define a clear taxonomy of components and document data availability. Then, we will run a rigorous evaluation to estimate impacts on retention, completion, employment, and earnings—and turn those findings into actionable insights.

We’re expanding our partnerships with leading organizations and researchers—including Apprenticeships for America, the Aspen Institute, Arnold Ventures, and SHEEO—to grow the visibility, scope, and influence of Craft-enabled research.

Features

Team Skills

Our team brings a comprehensive, cross-disciplinary skill set that blends rigorous methods, domain depth, and modern analytics.

01

Clear methods, reliable results

Clear methods, reliable results

Design, Evaluate, and Explain What Works

We run causal and descriptive analyses, mixed methods and qualitative studies, and full program and policy evaluations. We add policy analysis, forecasting, and web scraping to answer practical questions with evidence you can trust.

02

Focused domains, practical impact

Focused domains, practical impact

Economics, Workforce, Education, Strategy

We work in public economics, workforce development, education policy and the economics of education, and organizational strategy. This mix helps us connect learning to labor markets and deliver insights that move programs forward.

A student writes on a notepad while working at his desk alongside a desktop computer
03

Modern tools, usable outputs

Modern tools, usable outputs

From Raw Data to Ready Decisions

We build and analyze data with Databricks, Stata, SQL, Python, SAS, Google Colab, Tableau, Power BI, Salesforce, R, and ThoughtSpot. The outcome is clean datasets, clear dashboards, and analytics that support fast, confident decisions.

Meet Our Team

Patricia Saenz-Armstrong — Head of Data & Research

Ph.D., Economics (George Mason); M.S., Economics (Texas A&M). Leads teacher workforce dashboards across five states and researches teacher diversity, compensation, and education policy.

- Google Scholar
- LinkedIn


Stephanie Quinn -Senior Business Analyst

Ph.D. English (BGSU); M.S. Finance (CSU Global); Ed.S. Admin & Leadership (BGSU); Certification: Data Science & Business Analytics. Builds dashboards and datasets to inform state workforce strategies and policies.

- Google Scholar
- LinkedIn


Jorge Ugaz - Senior Research Scientist

Ph.D. Public Policy (UChicago); M.A. Public Policy (Georgetown). Designs evidence-based education-to-employment strategies; leads evaluations and partnerships; focuses on access, quality, equity, and financing.

- Google Scholar
- ResearchGate


Nell Williams - Senior Research Analyst

Ph.D. Education Policy (UPenn); M.A. Statistics (UPenn); M.A. Science Education (Brooklyn College). Analyzes administrative data; builds workforce dashboards; authors industry reports; conducts quantitative analyses and mixed-methods research focused on equitable access.

- Google Scholar
- LinkedIn

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