UX Product Researcher

Role Overview

The UX Product Researcher will join Epsilon’s Product Design team to connect user behavior to product strategy through rigorous, people-forward research. You will own the research agenda end-to-end, selecting the right methods for each ambiguous challenge and translating findings into decisions that shift roadmaps.

Responsibilities

• Own UX research studies end-to-end: define the question, choose methodology, recruit participants, facilitate sessions, synthesize findings, and deliver recommendations.
• Assess each research challenge independently and advocate for appropriate methods such as:
  • contextual inquiry
  • diary studies
  • moderated usability tests
  • surveys
  • card sorting
  • and method combinations based on the question
• Plan and moderate qualitative research (interviews, usability tests, inquiries) with confidence and warmth.
• Design and analyze quantitative research, including surveys, tree tests, benchmarking, and analytics reviews; integrate with qualitative insights.
• Use user research tools (e.g., Looppanel, Lyssna) to accelerate operations like transcription, affinity mapping, and initial pattern recognition—while applying human judgment for interpretation.
• Build and maintain a shared research repository so product teams can discover and use prior findings (research MCP).
• Communicate insights to stakeholders (product, engineering, leadership) with structured presentations tied to business outcomes and product decisions.
• Partner with Product Designers and Product Managers across the lifecycle from generative discovery to evaluative testing of shipped features.
• Build user-centered culture via research office hours and broad sharing of findings.
• Stay current with evolving research tools, AI-assisted workflows, and emerging methodologies; propose improvements to quality/efficiency.

Requirements

• 3–5 years of hands-on UX research experience on digital products, including a portfolio of studies you owned from question to recommendation.
• Demonstrated fluency in qualitative methods (interviews, usability testing, contextual inquiry, diary studies) and quantitative methods (surveys, card sorts, tree tests, analytics/product analytics review).
• Strong facilitation and communication: comfortable with enterprise users and presenting to senior stakeholders.
• Ability to choose the right method for the research question (not defaulting to what’s familiar).
• Practical experience using AI tools to accelerate synthesis/operations with clear judgment about where human interpretation is required.
• Strong written and verbal communication skills, able to distill findings into a decisive point of view.

Nice-to-haves

• Working knowledge of research governance and processes (implied by maintaining a repository and broad stakeholder enablement).