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Quantitative UX Researcher | Contractor

AnswerLab · United States · 2026-08-06

mid-levelRemote
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About this role

About AnswerLab

AnswerLab helps pioneering leaders Own the Unknown — transforming uncharted territory into clarity, direction, and competitive advantage. We build strategic insight through deep human understanding and validate future possibilities with real people in real contexts. For more than 20 years, we've worked alongside some of the world's most forward-looking organizations, helping them deliver breakthrough moments when no playbook exists.
Quantitative researchers are central to that mission. Our quant researchers bring the methodological rigor, analytical depth, and strategic fluency to help clients make high-conviction decisions in fast-moving, high-stakes environments.
Role Summary
As a Quantitative UX Researcher at AnswerLab, you will design and execute quantitative research that illuminates user behavior, attitudes, and needs — and translates those findings into strategic direction for some of the world's most ambitious product and experience teams. You will work within a client-aligned portfolio, embedded alongside qualitative researchers, experience strategists, and Customer Success partners, contributing to integrated research programs that go beyond findings to drive experience strategy.
This role is structured to span experience levels. Expectations around methodological depth, client leadership, strategic contribution, and mentorship scale with seniority — but the core orientation is consistent across levels: rigorous craft, strategic thinking, and a commitment to insight that moves organizations forward.
What You'll Do
Research Design & Execution

• Design and execute quantitative research studies that address complex user experience questions, applying the right methodology to the right problem with a clear rationale

• Lead or contribute to a wide range of quantitative methods and analyses, including: custom surveys, concept and prototype testing, tracking/benchmarking studies, unmoderated task-based studies, quantitative card sorting, tree testing, segmentation research, MaxDiff, Conjoint, and JTBD — with depth of ownership scaling with experience level
• Senior researchers are expected to lead independently across the full study lifecycle, including scoping, design, analysis, and client delivery with minimal oversight

• Demonstrate genuine methodological fluency: the ability to design studies with precision, anticipate analytical challenges, and make defensible decisions under constraints

• Coordinate with panel and recruitment vendor partners on sample design, feasibility assessment, and fielding logistics — ensuring data quality and participant criteria are met across studies

• Program and QA surveys using a programming platform (e.g., Qualtrics, Alchemer)

• Apply descriptive, inferential, and multivariate statistical techniques appropriately, including t-tests, ANOVA, regression, factor analysis, and cluster analysis, among others

• Utilize statistical analysis or data visualization tools (e.g., Q Research, DisplayR, SPSS, R, Python)

Strategic Insight & Storytelling

• Move beyond reporting what the data shows to interpreting what it means and what it implies for product and experience strategy

• Frame findings in terms of client decisions: what should be built, changed, prioritized, or abandoned, and why

• Communicate insights clearly and compellingly to a range of audiences, from UX practitioners to senior product executives, adapting depth and framing accordingly

• Produce strong data visualizations and well-structured deliverables that follow best practices in clarity, hierarchy, and visual communication, ensuring findings are not just accurate but immediately actionable for stakeholders

• Contribute to AnswerLab's thought leadership by sharing perspectives on emerging trends in quant research, user behavior, and the evolving role of data in experience strategy

Mixed-Methods & Integrated Research

• Partner closely with qualitative researchers to design and deliver integrated, mixed-methods research programs that combine behavioral depth with attitudinal breadth

• Serve as a fluent translator between quant and qual: helping teams understand what each approach can and cannot answer, and how findings from both can be synthesized into a coherent strategic narrative

• Contribute to integrated deliverables that draw on multiple data sources to build a complete picture of user experience

Data Science & Emerging Approaches

• Stay current on the evolving landscape of quantitative and data science methods relevant to UX, including large-scale behavioral data analysis, digital twin modeling, and AI-augmented research approaches

• Evaluate and apply emerging tools and methodologies where they add genuine value, bringing a critical, evidence-based perspective to adoption decisions

• Contribute to AnswerLab's ongoing development of its quantitative and data science capabilities, helping shape how the practice evolves

Client Partnership

• Build trusted relationships with client stakeholders, understanding their business context and research goals, and contributing to ongoing account growth

• Collaborate with Research Managers and Customer Success partners on study scoping, proposal development, and research design

• Represent AnswerLab's quantitative capabilities credibly in client conversations, with the ability to explain methodological choices and tradeoffs clearly to non-research audiences

• Adapt fluidly across diverse client contexts — including varying industries, organizational cultures, stakeholder personalities, and research methodologies — bringing the same rigor and responsiveness regardless of the engagement type

Team & Practice Development

• Mentor colleagues at more junior levels, sharing methodological knowledge and helping build AnswerLab's collective quant capability

• Take a proactive, visible role in building AnswerLab's quant practice, including developing frameworks, leading knowledge-sharing sessions, and helping shape…

Skills asked for

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