Executive CV | Kevin M. Storer, Ph.D.

Kevin M. Storer, Ph.D.

Applied Research · AI-Driven Work

Dr. Kevin M. Storer is an independent applied researcher and enterprise strategist specializing in the human impacts of AI modernization. As the former Ethnographic Lead for Google’s DORA Research team, he authored the industry's first validated model of the organizational conditions that determine success in AI-driven work. Now an Alphabet-preferred supplier and Principal of Storer Enterprise Strategy, LLC, Kevin delivers high-leverage organizational diagnostics and B2B product research for leading technology companies, translating rigorous ethnographic data into decision-ready insights.

Capabilities

Core Services

  • Organizational Diagnostics: Establishing evidence-based, ground-truth baselines of how a workforce is actually adopting, trusting, and utilizing AI.
  • B2B Product & User Research: Designing foundational discovery and usability studies to map how end-users respond to novel AI-driven features.
  • Measurement Frameworks: Translating qualitative human experiences into rigorous operational metrics to define and prove AI success.
  • Strategic Executive Advisory: Providing independent, high-level counsel to align multi-year technical roadmaps with human infrastructure requirements.
Impact

Selected Outcomes

  • Led ethnographic research for the DORA AI Capabilities Model, the industry's first validated framework for AI-driven software development.
  • Translated qualitative insights into public-facing enterprise reporting credited with driving $250M in annual marketing-sourced pipeline for Google Cloud.
  • Advised select global policy consortia—including the NSF and Schloss Dagstuhl—on the future of AI and work, leveraging foundational research at Google.
  • Authored public scholarship downloaded 100,000+ times and cited across 100+ international news outlets, including CNN, NPR, and Business Insider.

Professional Background

Storer Enterprise Strategy, LLC 2025 – Present
Principal Researcher

Independent research and advisory services for organizations exploring AI-driven work.

  • Google DORA (2026): Ethnographic research to build the theoretical framework behind DORA's 2026 developer survey.
  • Waymo (2026): Usability research to refine novel software supporting the expansion of the Waymo Atlanta service area.
Google 2019 – 2025
Senior Researcher — DORA Research · Developer X · Cloud · Assistant
University of California, Irvine 2017 – 2021
Graduate Research Assistant

Education

  • Ph.D., Informatics — University of California, Irvine (2021)
  • M.S., Computer Science — Clemson University (2017)
  • B.S., Computer Science — Bowling Green State University (2015)

Research Methods

Mixed-Methods Research · Ethnographic Research · Participant Observation · Content Analysis · Social Media Monitoring · Survey Design · Statistical Analysis · Measurement Framework Design