About
Two complementary perspectives. One practical standard.
Bolz Learning & Policy Advisors is grounded in learning sciences and policy and supported by complementary expertise in research, evaluation, data, program design, communications, automation, technology-enabled workflow, and systems design.
President & Co-Founder
Alissa C. Bolz
Alissa leads firm strategy, client relationships, contracts, and project oversight. Her work spans public policy research, health policy, program evaluation, financial and data analysis, research operations, data governance, and cross-functional systems planning.
She brings extensive experience managing complex research portfolios, coordinating technical and compliance requirements, and translating policy and data into decisions organizations can act on. Health policy is a significant area of professional depth within the firm and is brought forward when relevant to the work.
Co-Founder & Advisor
Michael J. Bolz, Ph.D.
Michael contributes expertise in learning sciences, applied research, program and experience design, data visualization, automation, technology-enabled workflow, systems design, and custom digital tools.
His background includes leading research and product initiatives, developing AI- and automation-supported workflows, translating evidence into practical experiences and tools, and a decade of public school board service, including service as board president.
How we work
Clear thinking, close collaboration, and useful results.
We begin by clarifying the decision or outcome the work must support. From there, we choose methods and tools that fit the stakes, timeline, available evidence, and people involved.
We value rigor without unnecessary complexity, technology without novelty for its own sake, and deliverables that continue to be useful after the engagement ends.
What guides us
Substance before style. Clarity over complexity.
Evidence with judgment
Data and research matter, but so do context, experience, and responsible interpretation.
Technology in service of people
Tools should reduce friction and improve decisions rather than draw attention to themselves.
Practicality without small thinking
Solutions should fit real constraints while still improving what is possible.