UX Researcher

Stefanini Group • Dearborn, MI

6d • Onsite

About The Position

Stefanini Group is hiring an execution-focused UX Researcher in Dearborn, Michigan. The role supports customer research and related teamwork, complementing senior team members’ qualitative research and stakeholder-management strengths through reliable follow-through, strong organization, technical curiosity, and clear communication. The researcher coordinates study logistics, supports research sessions, reviews and synthesizes evidence, manages workstreams, creates reusable research resources, and explores tools and workflows, including AI-assisted approaches, with attention to output quality and risks.

The position calls for 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. The role is with Stefanini Group, a global provider of outsourcing, IT consulting, systems integration, application, and staffing services.

Requirements

• 2–5 years of UX Researcher experience.
• Quantitative testing experience.
• Bachelor’s degree.
• A solid foundation in qualitative research execution, with 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.
• Familiarity with AI integration methods such as APIs and MCPs.
• Ability to conduct desk research and synthesize evidence into useful summaries.
• Strong organization, attention to detail, and reliable follow-through.
• 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.
• 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.

Nice To Haves

• Interest in developing moderation skills and research judgment.
• Interest in AI integrations through APIs and MCPs.
• Experience or familiarity with tools such as Dovetail, Figma, Miro, Excel, Teams transcripts, survey tools, and research repositories.

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, then share concise findings and implications.
• Keep multiple well-scoped tasks or workstreams moving, 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level