Spencer Grant
Experience Strategy & UX Research · Human-Centered Design
Frederick, MD · 301-401-4655 · spenag20@gmail.com · Portfolio (opens in new tab) · LinkedIn (opens in new tab)
U.S. Citizen, no visa sponsorship required
Summary
I turn research into decisions people can act on. My process runs from source synthesis through personas and insight statements to a tested design, documented so a stakeholder can trace each decision back to a finding. I've applied it to a clinician-facing AI dashboard grounded in 18 peer-reviewed and expert sources, and to a production app built around a federal contractor's real operations.
Skills & Tools
Research & synthesis: Qualitative and quantitative source synthesis, insight statements, competitor review, task analysis, usability testing (Useberry, SUS, NASA-TLX), research documentation with full citation traceability
Strategy deliverables: Personas, journey maps, jobs-to-be-done, design principles tied to findings, wireframes, prototypes
Communication & tools: Presenting findings and design rationale to stakeholders, translating technical constraints into requirements; Figma, Adobe Creative Cloud, Stark, SQL, Claude API, Git/GitHub
Projects
Self-initiated case study: AI decision-support experience strategy, WCAG 2.2 AA
- Synthesized 18 peer-reviewed and expert sources into 5 themes, 3 jobs-to-be-done, 2 personas, and 5 insight statements, with citation traceability for every claim
- Ran two rounds of usability testing (Round 1: 73.3 SUS, 100% task completion on alert triage vs. 0% on the AI-confidence decision); click-path analysis in Round 2 traced the miss to two distinct causes
Solo design and build for client 29 Integrity Logistics, LLC (opens in new tab), a service-disabled-veteran-owned federal contractor
- Researched directly with the business owner to identify three operational gaps (unverifiable chain of custody, no shared dispatcher/driver record, reactive compliance visibility) before any design work began
- Designed three role-based experiences (owner, dispatcher, driver) from one shared data model, each built around what that role needs to decide or do; used daily in production
- Presented design concepts to the client in regular check-ins and translated plain-language feedback into interface requirements
Education
The Pennsylvania State University, University Park, PA