TLDR
Quick facts for those who don’t have time to read the case studies.
Approach to AI
As a researcher, I know that skillfully working with AI is, and will increasingly be, part of the job. Using AI for the right tasks can improve the quality and efficiency of our human work.
For more information, read my “hot take” on AI here.
Research Methods
Qualitative & some quantitative | Moderated and unmoderated | Remote and in-person
Interviews
Contextual inquiries
Usability testing
Surveys
Field studies
Heuristic reviews
Experiments
Time-on-task studies
Card sort
Tree testing
Tools
Dovetail – Research repository and qualitative analysis
UserTesting – Participant recruitment, screening, and remote testing
Miro/ Mural/ Figjam – Stakeholder alignment, prioritization workshops
Microsoft Suite – Copilot, Planner, Outlook, PowerPoint, SharePoint, Teams, Forms, etc.
Calendly – Participant scheduling and coordination
Camtasia – Video editing and highlight reel creation
Facilitation & Collaboration
Workshop facilitation, cross-functional strategy sessions, stakeholder alignment, project alignment, design sprints, mentorship
Areas of Interest
Accessibility, sustainability, empathetic research, research democratization, and integrating AI tools into research.
When teammates come to me for support
Crafting AI prompts or getting the most out of Copilot
Practicing and refining presentations
Improving moderation techniques
Establishing repository best practices
What I’m currently focused on
Driving continuous follow-up and stakeholder engagement
Quantifying the impact of UX research
Aligning UX metrics with enterprise-wide goals
Research Process
Design & Align
Define the problem
Align with stakeholders
Plan & Prepare
Build the Research Plan
Review and Refine
Recruit & Conduct
Recruit and schedule
Conduct Interviews
Validate & Analyze
Quality Check
Analyze Data
Synthesize Insights
Deliver & Share
Create Deliverables
Peer Review
Share and Discuss
Communicate & Follow-up
Broader Communication
Ongoing Engagement