UX Research Coordinator

• Coordinate research activities such as recruiting, scheduling, participant communications, consent, incentives, session setup, recording, transcription, file organization, and study closeout
• Review existing research and other evidence across tools and repositories; identify what’’s useful or missing and share concise findings and implications
• Support research sessions through preparation, note-taking, observation, probing, tagging, synthesis, and clear reporting
• Manage several well-scoped tasks or workstreams at once, making priorities and capacity visible
• Keep useful learning from projects in reusable guides, templates, checklists, prompts, repository entries, or process improvements
• Explore and document new tools and workflows, including AI-assisted approaches, with appropriate care for output quality and risks

User Interface/Experience (UI/UX), Organizational Skills, Customer/Client Research, Team Player, Communication Skills, Qualitative Research, Follow Through, Artificial Intelligence (AI), User Interface/Experience (UI/UX), Research Skills, This person will complement senior team members’’ qualitative research and stakeholder-management strengths by bringing reliable follow-through, strong organization, technical curiosity, and clear communication., * 2-5 years of experience as a UX Researcher

• A solid foundation in qualitative research execution with room to continue developing moderation skills and research judgment, * Proactive, concise communication: shares progress, next steps, blockers, and questions without needing to be chased
• Collaborative, low-ego approach with dependable ownership and willingness to support both visible and behind-the-scenes work
• Strong organization, attention to detail, and reliable follow-through
• Comfort with desk research, reviewing evidence, and turning findings into useful summaries
• Ability to learn tools such as Dovetail, Figma, Miro, Excel, Teams, transcripts, survey tools, and research repositories
• IT, data science, or similarly technical background, or demonstrated technical aptitude with an interest in helping the team navigate AI integrations through APIs and MCPs
• Familiarity with quantitative data gathering and analysis, such as working with surveys or structured data, organizing results, and identifying basic patterns

Nice-to-Have / Preferred Skills

• Quantitative testing experience
• Familiarity with AI integration methods like APIs and MCPs