UX Research Coordinator: Insight & Study Operations

Bartech Staffing

Dearborn (MI)

On-site

USD 70,000 - 100,000

Full time

23 hours ago
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Job summary

Bartech Staffing is seeking an execution-focused UX Research partner in Dearborn, Michigan. The role complements senior researchers by providing reliable follow-through, organization, curiosity, and clear communication.

You will coordinate research activities, review evidence, support sessions, and help document learnings while exploring AI-assisted tools with careful attention to quality and risk.

Qualifications

  • 2–5 years of experience as a UX Researcher.
  • Solid foundation in qualitative research execution with room to develop moderation skills.

Responsibilities

  • Coordinate research activities: recruiting, scheduling, participant communications, consent, incentives, session setup, recording, transcription, file organization, and study closeout.
  • Review existing research across tools; identify usefulness and missing elements; share concise findings and implications.
  • Support research sessions through preparation, note-taking, observation, probing, tagging, synthesis, and reporting.
  • Manage multiple tasks/workstreams, making priorities visible.
  • Capture learnings in reusable guides, templates, and process improvements.
  • Document new tools/workflows, including AI-assisted approaches, with care for output quality and risks.

Skills

Proactive communication
Collaborative approach
Strong organization
Desk research
AI tools familiarity
Quantitative data analysis

Education

Bachelor's degree in UX Research / HCI

Tools

Dovetail
Figma
Miro
Excel
Teams

Job description

Bartech Staffing is seeking an execution-focused UX Research partner in Dearborn, Michigan. The role complements senior researchers by providing reliable follow-through, organization, curiosity, and clear communication.

You will coordinate research activities, review evidence, support sessions, and help document learnings while exploring AI-assisted tools with careful attention to quality and risk.

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