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Annemarie Fulcer-Casale
About
Resume
Experience
Portfolio
Bookshelf
Annemarie Fulcer-Casale
About
Resume
Experience
Portfolio
Bookshelf
About
Resume
Experience
Portfolio
Bookshelf
  • University of Arizona
    M.A. Psychology
    Summa Cum Laude

    New Jersey Institute of Technology and Rutgers University
    B.S. Human Computer Interaction, Cognitive Design
    Summa Cum Laude

  • UI/UX for Gaming -Elvtr

    Agentic AI for User Experience Research- Maven

    Certified Professional in Guest Experience -Brillium

    Customer Experience Foundations, Customer Experience Trends-LinkedIn

    Certified IRB Professional (CIP)-CITI

  • Microsoft | April 2020 to September 2026
    AI & Developer Experiences

    UX Researcher II | August 2021 to September 2026
    I owned research direction for a product area on a globally distributed, cross-org team, working across VS Code, Copilot, Azure, and AI Foundry as developer tools moved quickly into AI.

    • Led foundational research that redirected developer experience strategy for Azure AI Foundry and AI Toolkit for VS Code. Developer adoption grew roughly 30x over the same period.

    • Led cross-org industry prioritization studies for Foundry Solution Templates, partnering with business development and marketing leadership. The work reached executives up to the CEO and informed how Microsoft could win startups building with AI and where to invest.

    • Identified agentic development workflows as they emerged and extended our internal Customer Capability Model to include them, so teams could keep assessing readiness and opportunity through the shift. Designed interactive surveys to validate the model with customers, and the updated model was adopted org-wide.

    • Built tools that put UX evidence directly into engineering workflows: a live survey dashboard that synthesizes sentiment and prioritized fixes, and a weekly automated GitHub triage that brings top pain points into the dev environment on demand.

    • Scaled research beyond the UXR team through workshops where engineers and PMs learned fundamentals on their own live problems, strategic horizon planning with leadership, a standing office-hours program, and recurring new-employee training ("Connecting with Customers"). Teams came in with sharper questions and started running their own foundational work, which made research a default part of planning and freed UXR for strategic studies.

    • Measured the before-and-after impact of an inclusive code-review training across several teams, pairing PR participation data with sentiment. Based on the findings, leadership made the training mandatory and extended it to other orgs.

    UX Researcher I | April 2020 to August 2021
    My work covered the full Azure developer lifecycle, from first discovery and evaluation through commitment and long-term growth.

    • Connected patterns across scattered studies of the Azure adoption journey into a case for onboarding and retention gaps no single team owned. The result was a funded, dedicated end-to-end UXR team.

    • Co-developed a unified adoption framework that became the org's shared model of the developer journey and the factors tied to each stage. It gave teams a common language and made findings comparable across studies instead of isolated within each team.

    • Cut time-to-insight from weeks to days with a recurring weekly concept value test program that ran for 3+ months. I turned early ideas into structured, testable concepts and worked with engineers to shape each new round from the last round's feedback, so what customers said fed directly into what we tested next.

    • Took on team leadership ahead of my promotion, overseeing contract researchers, coordinating their work, and maintaining research quality across the team.

    Yoh Services | May 2019 to April 2020
    UX Researcher, Cloud & Python Experiences
    This was my first stretch in developer tools, and I learned the domain the best way I know: by spending a lot of time with the people who work in it.

    • Supported several Azure and Python developer experience teams with rapid, iterative research.

    • Ran weekly "Quick Pulse" studies (surveys, interviews, usability tests, and more) that delivered actionable insights in one-week cycles to inform near-term feature decisions.

    • Researched the workflows of 100+ developers and data scientists across notebooks (.ipynb), coding environments, and learning resources, building deep knowledge of developer toolchains.

    • Conducted field research at PyData 2019 and gave a lightning talk.

    • Spotted patterns across studies that pointed to the need for a unified view of the Azure developer experience, laying the groundwork for the adoption framework I later co-developed.

    New Jersey Institute of Technology | January to June 2019
    UX Research Teaching Assistant, "Discovering Needs for User Experience"
    Helping students learn research methods turned out to be one of my favorite parts of the work, and it still shapes how I teach teams today.

    • Selected based on academic and research performance to support an upper-level UX research course.

    • Co-developed lectures, assignments, and research plans covering foundational and intermediate methods, including interviews, surveys, usability testing, and contextual inquiry.

    • Designed scenario-based exercises so students could practice planning, running, and synthesizing research on realistic problems.

    Coo-e | October 2018 to May 2019 | Newark, NJ
    UX Research & Design Intern, 0 to 1 Social Platform
    My first chance to build a research practice from nothing, and to see research shape a product from its earliest days.

    • Established research where none existed, defining and owning the research roadmap for an early-stage social platform in direct partnership with the founders and engineers.

    • Ran multi-method research (usability testing, surveys, journey analysis) to understand how people plan together, coordinate across time zones, and communicate as groups.

    • Uncovered systemic cross-time-zone coordination failures and led both the research and the design of the feature that addressed them, which set core product direction.

    • Synthesized ongoing usability and behavioral data into prioritized, decision-ready recommendations that drove iterative improvements to the experience.

    • Worked with an internationally distributed team, building research into a global product effort from the ground up.

    Connections Lab, NJIT | February 2018 to May 2019
    Academic Researcher, Human Connection & Social Experiences
    This is where I first got hooked on research, studying something as human as how people connect.

    • Led mixed-methods research on how people form and experience social connections.

    • Identified behavioral patterns and interaction needs that informed design work aimed at strengthening human connection. The research supported conference posters and papers later submitted to CHI.

    The Walt Disney Company | 2017
    College Program Intern, Guest Experiences & Operations
    Working the front line taught me more about service design than any textbook could.

    • Selected for a competitive program combining high-volume frontline operations with professional development.

    • Delivered guest service at scale while observing how service design, operational flow, and staff interactions shape the end-to-end guest experience.

    • Recognized by guests and leadership for performance in a fast-paced, high-pressure environment. That experience still informs how I think about real-world customer experience.

    Seattle Pacific University | 2014 to 2017
    Computer Science Lab Assistant

    • Tutored students across computer science courses (C++, Python, HTML/CSS), supporting both foundational learning and advanced projects.

    • Learned to explain complex technical concepts clearly to people at very different levels of experience.

    Engineering and Computer Science Student Council Member

    • Elected to represent CS and IS students. Ran surveys and interviews to surface student needs and presented findings and recommendations to faculty and leadership.

    • Took part in faculty hiring, contributing to candidate evaluations and department decisions.

  • Stakeholders & Cross-Org Partnership
    Trusted partner to product, design, engineering, marketing, and executive leadership. Known for building consensus across conflicting perspectives. 

    Product & Customer Strategy
    Identify unmet needs, friction points, opportunity areas across experiences to drive improvements in usability, adoption, satisfaction, business impact and direction. 

    AI-Augmented Research Practices
    Design and deploy custom agents, dashboards, interactive research artifacts to accelerate insight generation, improve decision quality, and elevate the craft and impact of UXR. 

    Emerging Technology
    Ability to rapidly build domain expertise, surfacing early signals and opportunities in evolving spaces.

    Influence and Decision Support
    Translate fragmented, complex data into clear narratives and frameworks to support high-stakes prioritization and investment decisions.

    Research Strategy & Leadership
    Define and lead multi-quarter, multi-method programs that inform product, GTM, and organizational choices.

    Research Methods
    Match the method to the question. Establish rapid, iterative research programs for when teams needed answers yesterday.

  • Methodologies

    • Foundational & Discovery Generative/stakeholder interviews, contextual inquiry, field studies, diary studies, ethnographic-style observation

    • Evaluation & Usability Moderated and unmoderated usability testing, benchmark studies, think-aloud protocols, heuristic evaluation, competitive analyses, concept testing (KANO)

    • Surveys & Quantitative Survey design and analysis, A/B testing, experimental design 

    • Strategy  & Synthesis Opportunity and journey mapping, creation of custom models/frameworks, personas & archetypes, jobs-to-be-done framing, end-to-end analyses, cross-touchpoint audits

    Tools & Platforms 

    • Design & Prototyping Paper prototypes, low-fidelity static mocks, Figma, FigmaMake, Mural.co

    • Research & Testing UserInterviews, UserTesting, OutsetAI, HeyMarvin, Qualtrics, SurveyMonkey 

    • Analytics & Data Excel, Google Sheets, AI-supported computational notebook (.ipynb, Jupyter) analyses

    • AI, Automation, & Coding  GenAI platforms, Copilot CLI, GitHub, Python, AI-assisted development 

  • Microsoft New Employee Orientation Recurringly Speaker/Presenter, Connecting with Customers 

    Euro Python Conference June 2025 Booth Research, AI capabilities framework 

    Fully Connected Conference May 2024 Booth Research, Evaluating AI 

    Microsoft UXR Day April 2024 Speaker/Presenter, Learning by Making
    March 2021 Speaker/Presenter, The Power of Mixed Methods 

    Qual 360 EU April  2022 Speaker/Presenter, Democratizing UX Research 

    Euro Python Conference April 2022 Booth Research, 10+ unique topics 

    PyData Sept. 2019 Booth Research-Feature naming/development
    Speaker/Presenter, Lightning talk

View resume