I approach research as an integrated part of product and design decision-making, not a standalone phase.

Research starts with clarifying what we need to learn and how the answers will be used. I work closely with product, design, engineering, and stakeholders to define the right questions, select appropriate methods, and ensure insights inform structure, prioritization, and tradeoffs.

My goal is not more data, but useful signal that moves teams forward.

In practice, my research work spans the full discovery and validation lifecycle, including:

• Discovery research

  User interviews, stakeholder interviews, contextual inquiry, and domain research to understand needs, behaviors, constraints, and existing workflows
• Problem framing and synthesis

  Affinity mapping, insight synthesis, problem statements, How Might We framing, and opportunity definition
• Concept and structure validation

  Concept testing, usability testing, tree testing, and workflow validation to assess clarity, comprehension, and decision-making
• Mixed-methods research

  Combining qualitative insight with quantitative signals such as surveys, usage data, analytics, and experimentation results to strengthen confidence in direction
• Ongoing evaluation

  Iterative usability testing, analytics review, and A/B testing to validate assumptions, assess impact, and guide refinement over time

I select methods based on the decision at hand, not the process checklist.

Research informs both experience design and organizational alignment.

Insights feed directly into interaction models, information architecture, and system structure, while also helping leaders assess risk, scope tradeoffs, and long-term implications. Research becomes a shared reference point that grounds discussions across product, design, engineering, and marketing.

This integration ensures research influences outcomes, not just artifacts.