Organizational Research & Analytics Advisor · Workforce Analytics · Assessment · Motivation & Self-Regulation
Organizational theory, quantitative research, and workforce analytics brought together to help organizations understand complex patterns in employee behavior, motivation, performance, and well-being.
View ProfileDaniel Hynes serves as an Organizational Research & Analytics Advisor to PrimeStata, contributing expertise in workforce analytics, organizational theory, assessment, research design, and quantitative methods.
His work sits at the intersection of Industrial-Organizational Psychology and applied organizational analytics, with particular interests in employee motivation, self-regulation, recovery, well-being, and the processes through which individuals manage effort and energy over time.
At PrimeStata, Daniel contributes to research and analytical problem-solving, methodological development, conceptual modeling, and the translation of behavioral science into practical organizational applications.
He participates in PrimeStata’s expert network as an advisor rather than in an operating or executive role.
LinkedIn: View Profile
Daniel earned his BS in Psychological Science from the University of Arizona, completing his undergraduate degree in three years.
His early research training developed into a broader interest in motivation, self-regulation, employee well-being, recovery, and dynamic organizational processes.
Daniel earned his MA in Industrial-Organizational Psychology from The University of Akron and is completing his PhD in the same program.
His doctoral training has emphasized organizational behavior, motivation, quantitative methods, and research design.
His research examines employee self-regulation, energy management, recovery experiences, microbreaks, and related processes affecting employee well-being and functioning.
At Maximus, Daniel works in workforce analytics, where he has progressed from Associate Analyst to Analyst.
His work combines organizational data, workforce questions, and analytical interpretation to support talent and organizational decision-making.
Prior to Maximus, Daniel worked in Talent Analytics at MarshBerry.
His work included survey design, talent analytics, workforce research, and organizational data analysis.
Through The University of Akron's Center for Organizational Research, Daniel contributed to applied consulting work involving test development, competency modeling, training criteria, item writing, survey design, qualitative research, and quantitative analysis.
His work included developing assessment content, identifying training criteria across job families, analyzing survey data, creating decision-oriented visualizations, and qualitatively coding employee and customer feedback.
Daniel also worked as a Data Analyst Intern with Clinical Outcomes Solutions, gaining exposure to measurement and research questions in healthcare and clinical outcomes settings.
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.
A central theme of Daniel's work is understanding how individuals regulate effort, attention, motivation, and energy over time.
Rather than treating work behavior as static, his research examines dynamic processes through which employees respond to demands, pursue goals, recover from work, and manage competing priorities.
Daniel's research focuses on recovery experiences and the ways employees psychologically and behaviorally transition between work and nonwork domains.
This includes post-work recovery, microbreaks, energy management, and conditions supporting sustainable performance and well-being.
His scholarship includes particular interest in organizational phenomena that unfold over time, including longitudinal designs and theoretical models capable of capturing changing states, behaviors, and relationships.
Organizational Psychology Review, 2022
Work developing a self-regulatory perspective on how individuals manage multiple goals during transitions between work and home.
Oxford Research Encyclopedia of Business and Management, 2021
Work examining longitudinal approaches for studying organizational phenomena that evolve over time.
Organizational research design, survey methodology, theory development, literature synthesis, and behavioral science.
Workforce analytics, talent analytics, survey analysis, organizational-data interpretation, and evidence-based decision support.
Competency modeling, assessment development, item writing, training criteria, and measurement-related research.
Advanced quantitative reasoning and statistical problem-solving applied to organizational behavior, workforce systems, employee experience, and longitudinal questions.
Validated measurement and workforce analytics for organizational decisions.
Explore the ServicePsychometrics, assessment development, and defensible measurement.
Explore the ServiceResearch design, evidence synthesis, and analysis to support practical decisions.
Explore the ServiceRepresentative examples of research, analytics, and decision support.
View Related WorkDaniel works with PrimeStata in an advisory capacity, contributing organizational-science expertise, analytical perspective, and methodological input where his background strengthens an engagement or internal research initiative.
PrimeStata remains principal-led. Advisory involvement is matched to the needs of each project, with responsibilities and scope established explicitly when Daniel or another specialist contributes to client work.
When a decision requires deeper organizational research, workforce analytics, measurement, or behavioral-science expertise, PrimeStata combines rigorous methods with practical interpretation.
Request a Consultation