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Daniel Hynes, M.A., ABD

Organizational Research & People Analytics Advisor · Measurement · Workforce Analytics · I/O Psychology

Organizational research, measurement, and people analytics brought together to help organizations make clearer workforce and operating decisions.

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Role Summary

Daniel brings organizational research, measurement, and people analytics to questions about how organizations work and change. His work sits at the intersection of strategy, measurement, analytics, and organizational change, helping leaders connect workforce evidence to transformation and operating decisions.

With training in Industrial-Organizational Psychology and applied experience across financial services and government sectors, he combines analytical rigor with practical implementation. His work includes workforce planning, assessment and report products, talent development, and translating technical findings into evidence people can use.

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Areas of Expertise

Organizational Research & Diagnostics

Research design and organizational inquiry to clarify workforce questions and inform change.

Measurement, Surveys & Psychometrics

Survey design, assessment development, and measurement that connects evidence to the question at hand.

People Analytics & Decision Support

Workforce analysis and clear interpretation to support planning, talent development, and operating decisions.

Program Evaluation & Statistical Consulting

Evaluation and quantitative analysis to examine programs and guide practical decisions.

HR Transformation & Workflow Design

Transformation business cases and workflow optimization grounded in organizational evidence.

Organizational Health & Employee Well-Being

Research on motivation, self-regulation, recovery, and conditions supporting employee well-being.

Experience in Practice

Daniel’s experience includes workforce analytics at Maximus, talent analytics at MarshBerry, applied consulting through The University of Akron’s Center for Organizational Research, and a Data Analyst Internship with Clinical Outcomes Solutions.

Across financial services and government sectors, his applied work includes transformation business cases, workforce planning decisions, assessment and report products, talent development, program evaluation, workflow optimization, and technical storytelling. His organizational consulting experience includes competency modeling, item writing, survey design, and qualitative and quantitative analysis.

The employment and academic experiences described here are separate from Daniel’s advisory relationship with PrimeStata. They do not imply that Maximus, The University of Akron, MarshBerry, Clinical Outcomes Solutions, or any other institution endorses or is affiliated with PrimeStata.

Education & Scholarship

Daniel earned his B.S. in Psychological Science from the University of Arizona and his M.A. in Industrial-Organizational Psychology from The University of Akron, where he is a Ph.D. candidate (ABD).

  • “Pursuing Multiple Goals During the Commute: A Dynamic Self-Regulatory Perspective” — Organizational Psychology Review, 2022.
  • “Longitudinal Designs for Organizational Research” — Oxford Research Encyclopedia of Business and Management, 2021.
  • Presenter and contributor within Society for Industrial and Organizational Psychology (SIOP)-related scholarship.

PrimeStata Advisory Role

PrimeStata remains principal-led. Daniel adds specialist depth in organizational research, people analytics, and measurement in an advisory capacity rather than an operating or executive role.

His involvement is matched to each engagement’s needs, with responsibilities and scope established explicitly when he contributes to client work or internal research.

Relevant PrimeStata Work

Organizational & People Analytics

Organizational research and workforce analytics to support clearer decisions.

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Measurement & Assessment

Psychometrics, assessment development, and defensible measurement.

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Research & Decision Science

Research design and quantitative analysis to inform practical decisions.

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Bring a workforce question, a measurement challenge, or a decision that needs stronger evidence.

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