UX Researcher

Stefanini Group•Dearborn, MI
•Onsite

About The Position

Stefanini Group is hiring an execution-focused UX Researcher in Dearborn, Michigan. The researcher will help keep customer research and related teamwork moving, complementing senior team members’ qualitative research and stakeholder-management strengths with reliable follow-through, strong organization, technical curiosity, and clear communication. The role coordinates end-to-end research logistics and supports research sessions, evidence review, synthesis, reporting, and project workflow management. It also turns project learning into reusable research materials and process improvements, and explores and documents tools and workflows, including AI-assisted approaches, with attention to output quality and risks. The position requires 2–5 years of UX Researcher experience, quantitative testing experience, familiarity with AI integration methods such as APIs and MCPs, and a bachelor’s degree.

Requirements

  • 2–5 years of UX Researcher experience.
  • Quantitative testing experience.
  • Bachelor’s degree.
  • Proactive, concise communication, including sharing progress, next steps, blockers, and questions.
  • Collaborative, low-ego approach, dependable ownership, and willingness to support visible and behind-the-scenes work.
  • Strong organization, attention to detail, and reliable follow-through.
  • Ability to conduct desk research and synthesize evidence into useful summaries.
  • Solid foundation in qualitative research execution and interest in developing moderation skills and research judgment.
  • Familiarity with quantitative data gathering and basic analysis, such as organizing survey or structured data and identifying patterns.
  • Technical background, such as IT or data science, and demonstrated technical aptitude.
  • Interest in AI integrations through APIs and MCPs; ability to investigate options, test workflows, document findings, and connect technical possibilities to team needs. A dedicated software-engineering background is not required.

Nice To Haves

  • Curiosity and confidence learning research and collaboration tools such as Dovetail, Figma, Miro, Excel, Teams transcripts, survey tools, and research repositories; expertise in every tool is not expected on day one.
  • Interest in developing moderation skills and research judgment.

Responsibilities

  • Coordinate end-to-end research logistics, including recruiting, scheduling, participant communications, consent, incentives, session setup, recording, transcription, file organization, and study closeout.
  • Support research sessions through preparation, note-taking, observation, probing, tagging, synthesis, and clear reporting.
  • Review research and other evidence across tools and repositories, identify useful insights and gaps, and share concise findings and implications.
  • Keep multiple well-scoped tasks or workstreams moving while making priorities, progress, and capacity visible.
  • Turn project learning into reusable guides, templates, checklists, prompts, repository entries, and process improvements.
  • Explore and document tools and workflows, including AI-assisted approaches, while considering output quality and risks.
  • Conduct desk research and synthesize evidence into useful summaries.
  • Investigate technical options, test workflows, document findings, and connect technical possibilities to team needs.
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