Quantitative UX Researcher

📍 Job Overview

Job Title: Quantitative UX Researcher

Company: AnswerLab

Location: New York, New York, United States

Job Type: Full-Time

Category: User Experience Research / Data Science

Date Posted: 2026-06-02

Experience Level: Mid-Senior Level (2-7+ years depending on degree)

Remote Status: Hybrid (Remote OK, with potential for hybrid work in New York)

🚀 Role Summary

• Design, execute, and analyze rigorous quantitative UX research studies to uncover deep user behaviors, attitudes, and needs, directly influencing product and experience strategy.

• Apply a wide range of advanced quantitative methodologies, including surveys, concept testing, segmentation, conjoint analysis, and more, with ownership scaling based on experience level.

• Translate complex quantitative findings into compelling strategic narratives and actionable recommendations for diverse client stakeholders, from UX practitioners to senior executives.

• Collaborate closely with qualitative researchers and other cross-functional teams to deliver integrated, mixed-methods research programs that provide comprehensive human understanding.

• Contribute to the evolution of AnswerLab's quantitative and data science capabilities, exploring emerging approaches and driving innovation within the practice.

📝 Enhancement Note: The role is explicitly structured to span experience levels, from Researcher to Senior Researcher, indicating a need for candidates with foundational to substantial experience in quantitative UX research. The emphasis on "Own the Unknown" and "breakthrough moments" suggests a focus on innovation and strategic problem-solving for clients facing novel challenges. The mention of "client-aligned portfolio" and "embedded" work implies a consulting or agency environment where close client partnership is paramount.

📈 Primary Responsibilities

• Design and execute quantitative research studies using appropriate methodologies to address complex user experience questions, providing clear rationale for methodological choices.

• Lead or contribute to a broad spectrum of quantitative methods, including custom surveys, concept/prototype testing, tracking studies, unmoderated studies, card sorting, tree testing, segmentation, MaxDiff, Conjoint, and JTBD, with increasing autonomy for senior candidates.

• Program and quality assurance (QA) surveys using platforms such as Qualtrics or Alchemer, ensuring data integrity and adherence to participant criteria.

• Apply a range of statistical techniques, including descriptive, inferential (e.g., t-tests, ANOVA, regression), and multivariate (e.g., factor analysis, cluster analysis) methods, using tools like Q Research, DisplayR, SPSS, R, or Python.

• Synthesize quantitative findings into strategic insights that inform client decisions regarding product development, experience improvements, prioritization, and abandonment of initiatives.

• Communicate research insights clearly and persuasively to various audiences through well-structured deliverables and compelling data visualizations, ensuring actionable takeaways.

• Partner with qualitative researchers to design and execute integrated, mixed-methods research programs, acting as a bridge between quantitative and qualitative perspectives.

• Stay abreast of emerging quantitative and data science methods relevant to UX, such as large-scale behavioral data analysis and AI-augmented research, evaluating their potential application.

• Build and maintain trusted relationships with client stakeholders, understanding their business context, research objectives, and contributing to account growth.

• Mentor junior researchers, share methodological expertise, and actively participate in developing AnswerLab's quantitative practice through knowledge sharing and best practice refinement.

📝 Enhancement Note: The responsibilities clearly indicate a need for hands-on methodological expertise and strategic thinking. The emphasis on "translating findings into strategic narratives" and "framing findings in terms of client decisions" highlights the importance of business acumen and communication skills beyond pure data analysis. The expectation to "mentor colleagues" and "take a proactive, visible role in building AnswerLab's quant practice" points to leadership potential and a commitment to team development.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a human behavior-related field such as Human-Computer Interaction (HCI), Psychology, Sociology, Economics, Market Research, Statistics, Computer Science, or a related discipline, coupled with 4+ years of relevant experience.

• OR Master's or PhD in a related field, with 2+ years of relevant experience.

• For Senior Researcher candidates, 7+ years of quantitative research experience, ideally within a consulting or agency setting, is typically expected. Required Skills:

• Demonstrated, substantive expertise in quantitative UX research methods, including the ability to design studies precisely, make methodological decisions, and defend choices under scrutiny.

• Proficiency in programming and administering surveys using platforms like Qualtrics or Alchemer.

• Strong ability to apply descriptive, inferential, and multivariate statistical techniques (e.g., t-tests, ANOVA, regression, factor analysis, cluster analysis).

• Fluency in at least one statistical analysis or data visualization tool, such as Q Research, DisplayR, SPSS, R, or Python.

• Proven capacity to translate quantitative findings into strategic narratives and actionable recommendations for diverse audiences.

• Excellent written and verbal communication skills, with experience presenting complex data to senior client stakeholders.

• Experience working effectively in cross-functional, client-facing environments. Preferred Skills:

• Experience working with large-scale datasets and conducting multi-method studies.

• Familiarity with emerging quantitative and data science methods relevant to UX (e.g., behavioral data analysis, AI-augmented research).

• Consulting or agency experience, particularly in a client-facing capacity.

• Mentorship experience and a proactive approach to team and practice development.

• Understanding of or experience with user experience strategy and product development lifecycles.

📝 Enhancement Note: The qualifications emphasize both deep methodological craft and strategic communication. The distinction between "surface-level familiarity" and "substantive expertise" is critical, indicating a need for researchers who can go beyond basic survey execution to design and interpret studies with high rigor. The preference for consulting/agency experience suggests a need for candidates comfortable with client management and fast-paced project environments.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a range of quantitative UX research projects, showcasing methodological diversity (e.g., surveys, concept testing, segmentation, conjoint).

• Include case studies that clearly outline the research problem, your specific role and methodological approach, the analysis performed, and the strategic insights derived.

• Highlight your ability to translate data into actionable recommendations that influenced client decisions or product strategy.

• Showcase examples of complex data visualization and clear, compelling reporting that effectively communicates findings to various stakeholders.

• Present evidence of your proficiency with key quantitative research tools and statistical software (e.g., Qualtrics, Alchemer, R, Python, SPSS, Q Research). Process Documentation:

• Provide examples of how you have documented research plans, methodologies, and key findings for client deliverables.

• Illustrate your process for programming and quality assurance of quantitative instruments (surveys, experiments).

• Detail your approach to data cleaning, analysis, and interpretation, including how you ensure the validity and reliability of your findings.

• Showcase your process for synthesizing quantitative data with qualitative insights or other contextual information to build a comprehensive strategic narrative.

📝 Enhancement Note: While not explicitly stated as a "portfolio requirement," the responsibilities and skills sections heavily imply the need for a strong portfolio. Candidates should be prepared to present detailed case studies of their quantitative research work, emphasizing their strategic impact and methodological rigor. The emphasis on mixed-methods collaboration also suggests that examples of integrated research projects would be highly valuable.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Quantitative UX Researchers in New York City with 2-7+ years of experience, the estimated salary range is $100,000 - $140,000 USD per year.

• This estimate considers the cost of living in New York City, the specialized nature of quantitative UX research, and AnswerLab's position as a leading consultancy.

• Senior-level candidates with extensive experience and a strong consulting background may command salaries at the higher end of this range or above. Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Retirement savings plan with employer matching (e.g., 401(k)).

• Generous paid time off (PTO), including vacation, sick leave, and holidays.

• Opportunities for professional development, including training, conferences, and certifications.

• Potential for performance-based bonuses or profit-sharing.

• Flexible work arrangements, including remote work options.

• Employee assistance programs and wellness initiatives. Working Hours:

• Standard full-time commitment is expected, typically around 40 hours per week.

• The role requires flexibility to meet client deadlines and project demands, which may occasionally involve working beyond standard hours.

• AnswerLab supports a hybrid work model, allowing for remote work, with the expectation of collaboration and availability during core business hours.

📝 Enhancement Note: The salary range is estimated based on the provided AI salary data ($100k-$115k) and expanded to reflect typical market rates for Quantitative UX Researchers in a high-cost-of-living area like New York City, considering the experience range mentioned (2-7+ years). The benefits are standard for full-time roles in the consulting/tech industry and are inferred based on typical offerings.

🎯 Team & Company Context

🏢 Company Culture

Industry: User Experience Research & Consulting Services. AnswerLab operates at the intersection of technology, product development, and human behavior, serving clients across diverse sectors including technology, finance, healthcare, and retail.

Company Size: While the exact size is not specified in the provided data, AnswerLab is described as helping "pioneering leaders" and working with "some of the world's most forward-looking organizations," suggesting it is a well-established and respected firm, likely mid-sized to large within the specialized consulting space.

Founded: Over 20 years ago, indicating a long history of expertise and a stable presence in the market.

Team Structure:

• Quantitative researchers are integrated into "client-aligned portfolios," working alongside qualitative researchers, experience strategists, and Customer Success partners. This suggests a matrixed or project-based team structure focused on delivering comprehensive client solutions.

• The structure allows for deep collaboration, with researchers "embedded" alongside other disciplines, fostering a holistic approach to understanding user experience.

• Reporting lines likely involve Research Managers and potentially senior leadership within dedicated quantitative or research practice areas, with direct client interaction being a key component. Methodology:

• AnswerLab emphasizes "strategic insight through deep human understanding" and "validating future possibilities with real people in real contexts."

• A core methodology is the integration of quantitative and qualitative research ("mixed-methods") to provide both breadth and depth of understanding.

• The company values a rigorous, data-driven approach ("methodological rigor, analytical depth") combined with strategic fluency to guide high-conviction client decisions.

• Emphasis is placed on translating findings into strategic direction and driving "experience strategy" rather than just delivering raw data.

Company Website: https://www.answerlab.com/

📝 Enhancement Note: The company culture appears to be highly client-focused, collaborative, and driven by a pursuit of deep human understanding to solve complex business problems. The emphasis on "Own the Unknown" suggests an environment that embraces challenges and innovation. The structure of embedded, client-aligned teams points to a supportive, cross-functional work environment.

📈 Career & Growth Analysis

Operations Career Level: This role spans from "Researcher" to "Senior Researcher."

• Researcher: Focuses on mastering core quantitative methodologies, executing studies with guidance, and contributing to analysis and reporting. Requires foundational understanding and practical application of research techniques.

• Senior Researcher: Expected to lead independently across the full study lifecycle (scoping, design, analysis, delivery), mentor junior colleagues, contribute significantly to client strategy, and potentially lead client relationships. Requires advanced methodological depth, strategic thinking, and leadership capabilities.

Reporting Structure:

• Researchers will likely report to Research Managers or Senior Research Leads who provide guidance, oversight, and career development support.

• They will collaborate closely with qualitative researchers, experience strategists, and Customer Success partners within client-aligned teams.

• Senior researchers are expected to take on mentorship roles, contributing to the development of junior team members. Operations Impact:

• The core impact of this role is to provide clients with data-driven insights that inform critical product and experience strategy decisions.

• By illuminating user behavior and needs, these researchers help clients navigate uncertainty ("Own the Unknown"), reduce risk in product development, and achieve competitive advantage.

• The role directly contributes to client success by ensuring that business decisions are grounded in empirical evidence of user behavior and preferences. Growth Opportunities:

• Methodological Specialization: Deepen expertise in specific quantitative methods (e.g., advanced modeling, experimental design, causal inference) or expand into new areas.

• Strategic Leadership: Progress to leading client accounts, shaping research programs, and influencing high-level business strategy.

• Mentorship & Practice Development: Grow into a leadership role within the quantitative practice, mentoring teams, developing frameworks, and contributing to AnswerLab's thought leadership.

• Cross-functional Expertise: Gain exposure to qualitative research, experience strategy, and other consulting disciplines, fostering a holistic understanding of UX and business challenges.

• Emerging Technologies: Opportunities to explore and implement cutting-edge research techniques, including AI-augmented approaches and large-scale behavioral data analysis.

📝 Enhancement Note: The career path is clearly defined by increasing responsibility, autonomy, and leadership, scaling with experience and demonstrated capability. The emphasis on "integrated research programs" suggests growth opportunities in mixed-methods leadership and strategic synthesis.

🌐 Work Environment

Office Type: AnswerLab operates in a consulting/agency model, implying a professional office environment that fosters collaboration and client engagement. Given the "Remote OK" status and New York location, it's likely a hybrid model where employees can work from a central office, remotely, or a combination.

Office Location(s): The role is based in New York, New York. While remote work is an option, having a physical presence or the ability to travel to the New York office for key meetings or team events may be expected, especially for hybrid roles. Specific office amenities and accessibility details would be available upon inquiry.

Workspace Context:

• Collaborative Environment: The structure of "client-aligned portfolios" and "embedded" teams emphasizes close collaboration with diverse disciplines (qualitative researchers, strategists, CS partners). This fosters a dynamic, knowledge-sharing atmosphere.

• Operations Tools & Technology: Researchers will have access to industry-standard quantitative research tools, survey programming platforms (Qualtrics, Alchemer), statistical software (R, Python, SPSS), and data visualization tools.

• Operations Team Interaction: Regular interaction with colleagues for project collaboration, knowledge sharing, mentorship, and practice development will be a key part of the daily work.

Work Schedule:

• A standard 40-hour work week is the baseline, but the consulting nature of the work means flexibility is key.

• Researchers must be adaptable to client deadlines and project demands, which can fluctuate.

• The "Remote OK" status indicates a commitment to flexible working arrangements, balancing individual needs with team and client requirements.

📝 Enhancement Note: The work environment is characterized by a blend of focused individual work (analysis, programming) and intensive collaboration, both internally and with clients. The hybrid and remote-friendly nature suggests a modern workplace valuing flexibility and results over strict presenteeism.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess qualifications and fit. Be prepared to highlight specific quantitative UX research projects and your contributions.

• Hiring Manager/Team Interview: Deeper dive into your experience, methodologies, and approach to research. Expect behavioral questions and discussions about past projects.

• Skills Assessment/Case Study: This may involve a practical exercise or detailed discussion of a hypothetical research problem, requiring you to outline your methodological approach, analysis plan, and how you'd translate findings into strategy. This is a critical stage for demonstrating quantitative craft and strategic thinking.

• Final Round Interview: Potentially with senior leadership, focusing on strategic alignment, client relationship capabilities, and cultural fit, with emphasis on AnswerLab's core values.

Portfolio Review Tips:

• Showcase Methodological Depth: Clearly articulate the quantitative methods used (surveys, segmentation, conjoint, etc.) and why they were the right choice for the problem.

• Highlight Strategic Impact: For each project, emphasize how your findings translated into actionable insights and influenced client decisions or product strategy. Quantify impact where possible.

• Detail Your Role: Be specific about your contributions, especially if working in a team. Distinguish your work from that of others.

• Demonstrate Analytical Rigor: Explain your analysis process, including the statistical techniques applied and how you ensured data quality and validity.

• Visual Clarity: Ensure your portfolio materials (presentations, reports) are well-designed, clear, and effectively communicate complex information. Use compelling data visualizations.

• Tailor to the Role: Emphasize projects that align with AnswerLab's focus on "Own the Unknown," integrated mixed-methods research, and strategic consulting.

Challenge Preparation:

• Anticipate scenario-based questions where you'll need to design a quantitative study to address a business problem. Be ready to discuss sample size, methodology, key metrics, and potential analytical approaches.

• Prepare to discuss your experience with statistical analysis tools and your comfort level with different statistical techniques.

• Practice articulating complex quantitative concepts and findings in a clear, concise manner for non-expert audiences.

• Be ready to discuss how you would integrate quantitative findings with qualitative insights to build a more robust strategic narrative.

📝 Enhancement Note: The emphasis on "client-aligned portfolios" and "integrated research programs" suggests that interviewers will be keen to see how candidates can work within and contribute to broader client engagements, not just isolated research tasks. The "Own the Unknown" ethos implies a need for candidates who are comfortable with ambiguity and can define research approaches for novel problems.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Programming Platforms: Qualtrics, Alchemer (formerly SurveyGizmo). Proficiency in programming surveys, complex logic, and question types is essential.

• Statistical Analysis Software: Q Research, DisplayR, SPSS, R, Python. Fluency in at least one is required for advanced analysis. R and Python are often preferred for their flexibility and advanced capabilities.

• Data Visualization Tools: Tableau, Power BI, or built-in visualization capabilities within statistical software. Ability to create clear, impactful charts and graphs.

Analytics & Reporting:

• Tools for analyzing large-scale behavioral data (if applicable).

• Proficiency in interpreting results from various quantitative methods (e.g., MaxDiff, Conjoint, segmentation outputs).

• Tools for creating structured and compelling research reports and presentations. CRM & Automation:

• While not directly a CRM role, understanding how UX research integrates with client relationship management and project scoping tools is beneficial.

• Familiarity with project management software for tracking research timelines and deliverables.

📝 Enhancement Note: The explicit mention of specific tools like Qualtrics, Alchemer, Q Research, DisplayR, SPSS, R, and Python is crucial. Candidates should ensure their applications and portfolios highlight proficiency in these technologies. The emphasis on R and Python suggests a leaning towards more advanced analytical capabilities.

👥 Team Culture & Values

Operations Values:

• Find the Edge: A proactive, innovative mindset, comfortable exploring uncharted territory and tackling complex, ambiguous problems for clients. This translates to a willingness to propose novel research approaches and push beyond standard methodologies.

• Run the Play: A commitment to rigorous execution and experimentation. Every research project is an opportunity to gather data and share learnings, emphasizing thoroughness and a scientific approach.

• Push the Ask: A culture of critical inquiry, challenging assumptions, and seeking deeper insights. Researchers are encouraged to ask tough questions of clients, data, and themselves to uncover root causes and drive meaningful change.

• Own the Outcome: A strong sense of accountability and responsibility for the impact of their work. This means ensuring research is not just delivered but actively used to drive client success and business results.

Collaboration Style:

• Cross-functional Integration: Highly collaborative, working seamlessly with qualitative researchers, experience strategists, and client partners to deliver unified insights. Expect close teamwork and shared ownership of client projects.

• Knowledge Sharing: A culture that values sharing expertise, best practices, and lessons learned. Mentorship is a key component, with individuals expected to contribute to the growth of their colleagues.

• Client-Centric Partnership: A strong focus on building trusted relationships with clients, understanding their unique contexts, and acting as strategic advisors.

📝 Enhancement Note: The core values are deeply intertwined with the company's mission and reflect a culture of innovation, rigor, and accountability. Candidates should demonstrate how their work and professional approach align with these values, particularly "Find the Edge" and "Own the Outcome," which highlight AnswerLab's unique value proposition.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Clients often "Own the Unknown," meaning researchers may face ill-defined problems requiring them to define the research scope and methodology from scratch. This requires strong problem-framing skills.

• Integrating Diverse Data: Synthesizing quantitative findings with qualitative insights and other data sources to create a cohesive strategic narrative can be complex.

• Client Stakeholder Management: Effectively communicating complex quantitative results and driving adoption of recommendations across diverse client stakeholders with varying levels of analytical understanding.

• Pace and Volume: Managing multiple client projects simultaneously in a fast-paced consulting environment, requiring strong time management and prioritization skills.

• Staying Ahead of Methodologies: Keeping pace with the rapidly evolving landscape of quantitative research, data science, and AI-augmented approaches requires continuous learning.

Learning & Development Opportunities:

• Advanced Methodological Training: Opportunities to deepen expertise in specialized quantitative techniques, advanced statistical modeling, and emerging research paradigms.

• Cross-Disciplinary Learning: Exposure to qualitative research, experience strategy, and business consulting through close collaboration with other AnswerLab teams.

• Client Leadership Development: Training and opportunities to hone client relationship management, strategic advisory, and business development skills.

• Mentorship Programs: Formal and informal mentorship from senior researchers and leaders to guide career progression and skill development.

• Industry Engagement: Participation in conferences, webinars, and internal knowledge-sharing sessions to stay current with industry trends and contribute to thought leadership.

📝 Enhancement Note: The challenges presented are typical of a leading UX research consultancy, emphasizing the need for adaptability, strategic thinking, and strong interpersonal skills alongside technical expertise. The growth opportunities are well-aligned with advancing within a specialized research and consulting career path.

💡 Interview Preparation

Strategy Questions:

• Problem Framing: "Describe a time you had to define a research approach for a completely novel problem or product. How did you identify the key questions and determine the appropriate quantitative methodology?" (Focus on your process for tackling ambiguity and defining scope).

• Methodological Choice: "Walk us through a complex quantitative study you designed. Explain your rationale for choosing specific methods, sample design, and analytical techniques, and discuss any trade-offs you considered." (Demonstrate methodological depth and critical thinking).

• Translating Data: "How do you move beyond reporting data to developing strategic insights? Provide an example of how your quantitative findings directly led to a significant change in product strategy or user experience." (Highlight your strategic thinking and impact).

Company & Culture Questions:

• Value Alignment: "How do you embody AnswerLab's core values, such as 'Find the Edge' or 'Own the Outcome,' in your work?" (Be ready with specific examples from your experience).

• Collaboration: "Describe your experience working in mixed-methods research teams. How do you collaborate with qualitative researchers and other disciplines to create integrated insights?" (Showcase your teamwork and communication skills).

• Client Focus: "How do you build trust and manage relationships with client stakeholders, especially when delivering complex or potentially challenging quantitative findings?" (Emphasize your client-facing skills and strategic advisory approach).

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each project, clearly define the Problem, your Approach (methodology, tools), Key Findings, and the strategic Impact/Outcome.

• Quantify Your Contribution: Where possible, use metrics to demonstrate the scale of your work (e.g., sample size) and the impact of your insights (e.g., percentage change in satisfaction, revenue impact).

• Visual Storytelling: Use clear, compelling data visualizations. Ensure your presentation flows logically and tells a coherent story about how you solved a problem and delivered value.

• Be Prepared for Deep Dives: Anticipate questions about your specific methodological choices, analytical decisions, and how you handled any challenges or limitations in your research.

• Highlight Versatility: Showcase a range of quantitative methods and your ability to adapt your approach to different client needs and industries.

📝 Enhancement Note: The interview preparation advice focuses on showcasing both technical prowess in quantitative methods and the strategic, client-facing skills crucial for a consulting role. The emphasis on "Own the Unknown" and "Push the Ask" suggests that interviewers will be looking for initiative, critical thinking, and a proactive approach to problem-solving.

📌 Application Steps

To apply for this Quantitative UX Researcher position:

• Submit your application through AnswerLab's careers portal.

• Curate Your Portfolio: Select 2-3 of your most impactful quantitative UX research projects that demonstrate methodological depth, strategic insight, and client impact. Ensure these projects align with the responsibilities outlined in the job description, particularly those involving complex problem-solving and strategic translation of data.

• Tailor Your Resume: Highlight keywords and skills mentioned in the job description, such as specific quantitative methods (survey design, segmentation, conjoint, JTBD), statistical software (R, Python, SPSS, Qualtrics), and strategic communication. Quantify achievements whenever possible.

• Prepare Your Narrative: Practice articulating your experience and portfolio projects clearly, focusing on your role, methodological rationale, analytical process, and the strategic outcomes achieved. Be ready to discuss how you "Own the Unknown" and "Push the Ask."

• Research AnswerLab: Familiarize yourself with AnswerLab's mission, values, and client work. Understand their approach to "Own the Unknown" and integrated research. This will help you tailor your responses and demonstrate cultural fit.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.