How I Approach

User Research

I approach user research to reduce risk, align teams, and drive confident product decisions, particularly in AI-powered and B2B SaaS environments. As a Senior UX Researcher, my work focuses on helping teams navigate complexity: ambiguous problem spaces, emerging technologies, and high-stakes decisions.

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AI & Product Research

Evaluating complex systems to drive confident product decisions.

I lead mixed-methods research initiatives focused on understanding how people interact with complex, data-intensive products, particularly AI-powered systems where trust, explainability, and workflow fit are critical.

This is how I deploy methods in practice:

Research Strategy

When I use it

Early-stage problem framing, ambiguous product direction, or when teams need alignment before execution.

What it helps answer

What are the highest-risk assumptions? Which questions matter now vs later?

Signals I look for

Decision uncertainty, misaligned stakeholders, unclear success criteria.

User Interviews

When I use it

To understand mental models, workflows, trust, and expectations, especially in complex or AI-assisted experiences.

What it helps answer

How users reason, where they hesitate, and what drives confidence or doubt.

Signals I look for

Language patterns, decision shortcuts, moments of friction or mistrust.

Usability Testing

When I use it

When evaluating system clarity, interaction breakdowns, or end-to-end task success.

What it helps answer

Where users struggle, what creates friction, and which issues meaningfully block progress.

Signals I look for

Error recovery, hesitation points, workarounds, time-on-task deltas.

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Scale Research

Building repeatable, high-impact research practices

Beyond individual studies, I focus heavily on making research scalable, reliable, and actionable across teams. This means designing systems that allow insights to travel further and faster than any single project.

My approach to scaling research includes:

RESEARCH FRAMEWORKS

When I use it

When teams need consistency across studies, products, or user segments.

What it helps answer

How insights relate to each other over time and how research ladders into strategy.

Signals I look for

Duplicate questions, fragmented findings, difficulty comparing results across initiatives.

SYNTHESIS MODELS

When I use it

After complex or multi-method studies where raw data alone won’t drive clarity.

What it helps answer

What patterns matter most and which insights should inform decisions now vs later.

Signals I look for

Insight overload, unclear prioritization, stakeholders asking “so what?”

RESEARCH Operations

When I use it

As research maturity increases and teams need clarity on process, roles, and standards.

What it helps answer

How research fits into product development without slowing teams down.

Signals I look for

Inconsistent methods, unclear ownership, friction between research and delivery.

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Influence Stakeholders

Turning insights into roadmap-altering decisions

Research only creates value when it meaningfully influences decisions. A core part of my role is ensuring insights are communicated in ways that resonate with different stakeholders and lead to action.

In practice, this means:

Insight Theming

When I use it

When findings need to be consolidated into clear, decision-ready takeaways.

What it helps answer

What patterns are meaningful and how they connect to product direction.

Signals I look for

Conflicting interpretations, fragmented takeaways, lack of alignment.

RESEARCH STORYTELLING

When I use it

When presenting findings to cross-functional or executive stakeholders.

What it helps answer

How research insights support tradeoffs, risks, and strategic choices.

Signals I look for

Disengagement, skepticism, or over-indexing on anecdotes.

DECISION WORKSHOPS

When I use it

When teams need alignment around priorities, roadmap direction, or next steps.

What it helps answer

How insights translate into shared understanding and concrete actions.

Signals I look for

Stalled decisions, circular debates, unclear ownership.

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COLLEAGUE FEEDBACK

More feedback from Product & Design Partners

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Industry Contributions

Recognized Contributions to the UX Research Community

In addition to my work inside product teams, I contribute to the broader UX research community through writing, collaboration, and shared frameworks. I’ve been featured as a contributor in industry resources used by researchers across sectors.