Embedded Strategic Partner
Acting as a dedicated analytical and research arm for senior teams—clarifying the decision, structuring the evidence, and turning findings into options that can withstand board, ELT, and operating-review scrutiny.
PrimeStata blends applied psychology, research, analytics, and AI to design measurement, models, and systems for decisions that matter.
Start a ConversationPrimeStata is an applied psychology, research, and data science consultancy built for decisions that cut across strategy, technology, and human-centered measurement. Work is led by a principal with formal training in measurement and statistics, supported when needed by experts in areas such as business development, startups, healthcare, education, and technology.
Clients bring PrimeStata in when they need help turning messy questions into structured decisions—designing the right measurement or research, running the analysis, and translating findings into systems and recommendations that can actually be used. Engagements can be ongoing or project-based, but the goal is consistent: reduce uncertainty, strengthen judgment, and keep decisions grounded in evidence rather than pressure or politics.
Flexible ways of working, centered on the decision at hand and the support the organization needs.
Acting as a dedicated analytical and research arm for senior teams—clarifying the decision, structuring the evidence, and turning findings into options that can withstand board, ELT, and operating-review scrutiny.
Designing reusable measurement systems, data models, and AI-enabled workflows so insights live not just in slide decks, but in the tools and processes used to run the organization over time.
When a specific model, program, or decision path needs an outside view, PrimeStata can step in for a focused engagement—running targeted analyses, validation studies, or critical reviews with clear, defensible recommendations.
Learn about independent projectsCapability is assembled deliberately around the decisions, constraints, and environments of each engagement.
Predictive modeling, explainable machine learning, and analytical architectures designed for clarity, interpretability, and reliable use in real decision processes.
Psychometric design, engagement research, and behavioral analytics that link human experience to performance, retention, and organizational health.
Evidence-based frameworks for prioritization, resource allocation, and decision-making under uncertainty, grounded in both data and context.
Workflow systems, data pipelines, and intelligent automation that bring analysis into the tools and environments where leaders actually work.
Design and execution of applied research, program evaluation, and evidence synthesis—ensuring that findings move beyond reports into decisions, policies, and systems.
The underlying approach is consistent; the applications span private industry, healthcare, and research environments.
Leadership analytics, forecasting engines, research-backed interventions, and decision frameworks for growth-stage, enterprise, and global organizations navigating complex portfolios and people systems.
Clinical measurement design, biostatistical analysis, and interdisciplinary modeling supporting translational research, clinical programs, and life sciences initiatives.
Research translation, policy analytics, and evaluation frameworks that move evidence from publications and datasets into decisions, programs, and real-world outcomes.
Engagements are evaluated on the clarity of the decision, the rigor of the model, and the durability of the systems and behaviors that follow from the work.
Degree to which leaders share a clear, documented understanding of the decision, constraints, and options — reflected in cleaner narratives, fewer rework cycles, and more coherent operating plans.
Strength and defensibility of the underlying measurement, research design, and analytical models — including calibration, validation results, and how well assumptions and limitations are surfaced for decision-makers.
Extent to which tools, workflows, and recommendations are actually adopted — seen in sustained use of dashboards or models, improved process reliability, and observable changes in decisions and behaviors over time.
“PrimeStata delivers clarity and insight that reshape how we think, operate, and make decisions.”
“A rare blend of scientific rigor and strategic intelligence — they understand both people and systems at depth.”
PrimeStata works with organizations, researchers, and teams that want decisions grounded in evidence, calibrated to context, and translated into systems that can be sustained. If that describes your environment, it is likely worth a conversation.