Available for select advisory & senior/staff research roles
I specialize in uncovering the “why” behind user behavior and translating insight into clear product direction, scalable systems, and measurable impact. My work sits at the intersection of user psychology, business strategy, and design execution.
I don’t just validate features; I identify risk, clarify mental models, and ensure that research informs roadmap decisions early enough to matter. Whether demystifying product education, refining discovery flows, or shaping launch strategy, I approach research as a lever for reducing uncertainty and strengthening product outcomes.
Research Philosophy
“I thrive in environments where clarity isn’t handed to you: where the real work is defining the problem before solving it.”
It all begins with a problem statement. The crux of an idea is determining if and what the challenge is that requires a design solution.
Principle // 01Government Entity · Enterprise Infrastructure
Currently working to modernize country-wide user flows and architect resilient software interfaces for high-assurance public operators. My research informs mission-critical decision support, workflow streamlining, and error-prevention frameworks.
Specialized Investigation Domains
Empirical Case Studies · Milestone Architecture
Standardized milestones from root ambiguity to measurable software impact, featuring concrete operational artifacts and deliverable syntheses.
Streamlining high-friction operator handoffs and nationwide intake procedures for federal personnel across legacy distributed environments.
Operators managed 14 disjointed legacy screens during emergency intake handoffs, causing severe cognitive friction, redundant manual data reconciliation, and recurring procedural delays.
“I spend more mental effort double-checking that the terminal didn't lose state during the handoff than I do evaluating the citizen's actual case priority.”
By replacing disjointed database record lookups with unified situational status cards, cognitive load shifted from manual memory recall to visual recognition. Operators moved from a multi-window mental model to an event-driven queue.
Deliverable: IA Spec + Design Tokens
Investigating algorithmic trust, confirmation bias, and cognitive overload in automated recommendations through rigorous cognitive walkthroughs.
Decision-makers actively bypassed automated triage recommendations because output ratings lacked explainability, resulting in either uncritical rubber-stamping or complete operational abandonment.
“A 98% match number means nothing to me under pressure unless I can see which underlying feature weighting triggered the high confidence flag.”
By replacing static probability percentages with an interactive rationale matrix (showing contributing features vs. contradictory indicators), decision times decreased while operator agency and verification accuracy jumped to 94%.
Deliverable: Explainable AI Guidelines
Demystifying onboarding drop-off by correlating in-depth qualitative discovery with telemetry funnel logs to drive autonomous product adoption.
Telemetry revealed 62% of new enterprise admins dropped off at Step 3 of onboarding due to required upfront server permissions before perceiving product value.
“I wanted to test the reporting engine first, but the setup wizard forced me to invite my entire team and grant OAuth scopes before I even saw a sample chart.”
By replacing mandatory upfront setup with an interactive sandbox populated with pre-computed dummy telemetry, users achieved the “aha moment” in under 3 minutes, unlocking autonomous permission grant adoption.
Deliverable: Onboarding Architecture Blueprint
Process & Execution
Grounding design systems in human capability, technical feasibility, and continuous empirical validation.
[ Phase 01 · Milestone ]
Ensuring the problem is well defined is critical to the process. Discovering and defining the problem often starts with talking with stakeholders and people using the product.
Tangible Artifacts Produced
[ Phase 02 · Milestone ]
Building encompasses sketches, prototypes, more research, and engaging with developers. Knowing what is possible within time and resource constraints informs research goals.
Tangible Artifacts Produced
[ Phase 03 · Milestone ]
Continual improvement is the goal and that requires iteration. That may mean new features or smaller changes that will streamline workflow and improve time-on-task metrics.
Tangible Artifacts Produced
Qualifications & Perspective
I’ve been an IT professional for many years and love this iteration as a UX researcher. I enjoy the marriage of technology and humanness; it puts my skills to their best use.
I would say I am a qualitative researcher with a healthy dose of quant. I enjoy delving into the numbers especially if it leads to more research opportunities! Combining deep technical systems architecture knowledge with rigorous cognitive inquiry allows me to bridge the translation gap between product managers, engineers, and users.
Start a Conversation
Available for staff-level UX research roles, human factors advisory consulting, and specialized enterprise systems evaluation.
Direct Verification
Need to de-risk a high-stakes roadmap or evaluate algorithmic system interfaces? I welcome conversations with executive design leaders and recruiters.
About: All works on this site are the property of my clients and are featured here with their express permission.