UX Research + Design Partner

I partner with founders and product leaders to turn customer behavior into clear, actionable product decisions.

  • Customer behavior informs adoption, friction, and product decision-making.

    Lightweight research and real-world workflow analysis surface where customers get stuck, what they value, and what’s slowing progress.

  • Clear problem framing creates alignment around the decisions that truly matter.

    Research synthesis turns insight into a shared narrative, helping leadership, product, and design move forward without assumptions or competing interpretations.

  • Effective iteration builds on what’s already working rather than defaulting to large-scale redesigns.

    Targeted improvements focus on specific workflows and interactions, increasing clarity, usability, and time-to-value while preserving existing strengths.

  • Early usability testing reduces rework and prevents costly product missteps before launch.

    Rapid feedback surfaces issues in workflows and interactions while changes are still small and inexpensive to make.

  • Ongoing partnership provides clear guidance and decision support as priorities evolve.

    This often looks like embedded research, collaborative design thinking, and helping teams move faster as new questions emerge.

A person wearing a beanie and jacket is looking at their phone while working on outdoor electrical equipment near a roadside in a mountainous area with snow.

My work in practice

Understand how customers work

Teams often build products that make sense on paper but break down in real-world use.

I examine how work actually happens to surface hidden friction, mismatched assumptions, and moments where users disengage, enabling teams to make informed changes instead of guessing.

Workflow Solutions ->

Flowchart illustrating a repair process with stages: setup, unclear warnings, repeated steps, time spent fixing, and completion.

Align teams around the problem

Misalignment creates friction, delays decisions, and leads teams to solve the wrong things.

Founders, product, and design align on the core problem, key tradeoffs, and next focus areas, so decisions hold and momentum builds.

Problem Alignment ->

Inform confident iteration

When something is working but falling short, the question becomes how to evolve it without unnecessary complexity.

Customer insight surfaces what to preserve, where friction remains, and how to iterate intentionally rather than reactively.

AI in Practice, Not Theory ->

Group of people looking at a bulletin board covered with papers and notes in a meeting room.

Reduce risk before building more

Validating direction early saves time and money.

Usability testing and lightweight research surface issues before decisions solidify, allowing teams to adjust course based on evidence and focus effort where it will have the greatest impact.

Reducing Risk Before Expanding ->