DRZ Strategic Consulting Group LLC

Our Work

In addition to her consulting work, Dr. Rosalía Zárate provides valuable guidance to several organizational boards by leveraging her expertise in data, research, and behavioral sciences. She advises these organizations on their decision-making processes, while also serving as a trusted advisor on matters related to data and research strategy, as well as curriculum development.

Dr. Rosalía Zárate has a proven track record of providing data and research consulting services to prominent organizations such as the California Community Colleges, Stanford Graduate School of Business, Stanford Graduate School of Education, Forshay, and Hispanic Heritage Foundation.

Stanford Accelerator for Learning and Challenge Success

DRZ Strategic Consulting Group LLC (DRZ SCG) is collaborating with the Stanford Accelerator for Learning in the Stanford Graduate School of Education and non-profit Challenge Success, exploring generative AI in education. Our aim is to identify potential risks and opportunities of this new AI tool for teaching and learning. DRZ SCG is facilitating survey design, assisting with translating surveys, conducting analysis, and reporting.

Exploring Generative Artificial Intelligence (AI) in Education.

Stanford Graduate School of Education

Conducted both quantitative and qualitative studies using empirical research methods, which ranged from conducting in-depth qualitative interviews to analyzing large datasets with hundreds of thousands of records.

Sample Projects
  • Analyzed 100 years of abstract course data collected from Stanford Graduate School of Education since 1918 to understand how topics in the School of Education have changed over time.
  • Assessed community college student outcomes and degree attainment using cutting edge causal methods to analyze raw institutional and national data; results showed students in math remediation are less likely to obtain a STEM degree which negatively impacts our STEM retention and workforce.
  • Examined the impact of school-level factors on high school students’ change in STEM intent using longitudinal national data sets (from 9th to 11th grade), applied principal components analysis, and multilevel modeling (across 940+ schools).
  • Investigated Latinx community college students’ STEM trajectories to understand how in and out of school factors impact their STEM pathway by designing an interview protocol and conducting 18 two-hour qualitative interviews; results revealed the need for consistent academic support from remedial into college-level math and science courses, which can assist in retaining students in the STEM pipeline.
  • Conducted qualitative research on undergraduate Latina womens’ trajectories in STEM fields. Developed and assessed a survey and interview questionnaire, conducted interviews, transcribed and coded data.
  • Developed interview questions, executed library observations, and conducted interviews of librarians to understand how San Francisco families utilize digital learning resources across the city.


Assessed companies’ employee survey data and provided reports with insights into their strengths, weaknesses, areas of opportunities, potential threats, and recommended changes to increase retention, and create more diverse and inclusive work environments.  The analyses included evaluating employee satisfaction, experiences, and performance, creating and validating composite measures, performing hiring predictions, and estimating pass through rates.


Stanford Graduate School of Business

Synthesized a report on digital tutors’ potential to improve low-income Americans’ social mobility. Established partnerships with companies, created interview protocols, conducted and transcribed interviews in order to understand the societal problems digital tutors are solving, identified effective examples of digital tutors and areas of implementation challenges.

De Anza College

Assisted the Director of Institutional Research in analyzing student characteristics’ impact on enrollment. Analyzed pilot data to identify enrollment trends and anomalies to ensure accurate data collection and analysis, and utilized inferential and predictive statistical methods, including logistic regression and graphical visualizations, to produce a comprehensive report for institutional officials with recommendations aimed at increasing enrollment.

Hispanic Heritage Foundation

Partnered with the Hispanic Heritage Foundation (HHF) and Catholic University of America (CUA) to compose an NSF grant project to increase underrepresented groups participation in STEM education through coding academies, mentorship, and employer partnerships.

John W. Gardner Center

Collaborated closely with policy and data analysts to examine student outcomes across six major California districts, with the overarching goal of increasing high school graduation rates.