Research-grade evidence for decisions that matter.
StatisTech helps mission-driven organizations evaluate impact, build trustworthy data systems, and turn complex analysis into software people can actually use.
Discuss a project See our workFrom unanswered question to defensible decision.
Evaluation & causal analytics
Study design, program evaluation, forecasting, and evidence synthesis.
Research software
Custom analytic applications that make sophisticated methods repeatable and easily accessible.
Data & AI architecture
Reliable pipelines, governed data products, and decision-support systems built for real operations.
Commercial and district intelligence for the K-12 market - now in development.
District and vendor fundamentals, connected.
EdFundamentals is a forthcoming StatisTech platform for understanding the K-12 market at both the district and vendor levels. It combines district fundamentals with product, contract, pricing, renewal, and adoption data to reveal installed base, market share, commercial exposure, growth opportunities, and observed relationships between adoption and outcomes, all supported by traceable sources and methods.
Discuss the forthcoming product →Rigorous methods. Practical tools.
Answer a consequential question
Clarify the question, design the study, analyze the evidence, and communicate what the findings do and do not support.
Make analysis operational
Build dashboards, forecasting tools, simulations, and analytic applications around decisions your team needs to make repeatedly.
Strengthen the foundation
Assess existing systems, connect fragmented data, design reliable architecture, and guide responsible analytics and AI strategy.
A focused network, chosen for the work.
We value substantive relationships over a wall of logos. Each collaboration reflects real work, complementary expertise, and a shared purpose. Our experience spans universities, schools and districts, community-based organizations, healthcare and human-services teams, research firms, and mission-driven ventures.
Selected collaborators, project examples, and references are available upon request.
Led by Jordan Lawson, Ph.D.
StatisTech combines causal inference, program evaluation, research software engineering, and AI/data architecture to help teams evaluate impact, build analytic capacity, and make better decisions.
Jordan holds a Ph.D. in Measurement and Statistics, with published research spanning causal inference, program evaluation, psychometrics, education, public health, and predictive modeling.
View selected research and intellectual property →