Quantitative UX Researcher III

📍 Job Overview

Job Title: Quantitative UX Researcher III

Company: Linda Werner & Associates

Location: United States

Job Type: Contract (8 Month Position)

Category: User Experience Research / Data Analytics

Date Posted: April 22, 2026

Experience Level: 5-10 Years

Remote Status: Remote Solely

🚀 Role Summary

• Lead the design, management, and analysis of large-scale, longitudinal tracking surveys to inform critical product and user experience (UX) decisions, directly impacting product strategy and development.

• Translate complex quantitative data into clear, actionable insights and comprehensive research reports, enabling data-driven decision-making across product teams.

• Operate effectively within fast-paced, ambiguous environments, prioritizing and managing multiple research initiatives to meet evolving business needs.

• Champion rigorous quantitative methodologies and statistical analysis to uncover user behavior patterns and drive product improvements within the application ecosystem.

📝 Enhancement Note: This role is a contract position for 8 months, focusing on quantitative UX research with a strong emphasis on survey design and longitudinal tracking. The core function is to provide data-backed insights for product and UX improvements, requiring a blend of technical analytical skills and strategic thinking. The "III" in the title suggests a senior-level individual contributor role, implying autonomy and a significant scope of responsibility.

📈 Primary Responsibilities

• Design, implement, and manage large-scale tracking surveys, with a specific focus on longitudinal UX measurement to capture user trends over time.

• Develop and execute rigorous statistical analyses, including descriptive statistics, regressions, ANOVA, and t-tests, to extract meaningful insights from survey data.

• Produce comprehensive research reports and presentations that clearly articulate findings, implications, and actionable recommendations to diverse stakeholders.

• Proactively identify and prioritize research opportunities that align with product goals and address emerging user needs within the application ecosystem.

• Collaborate cross-functionally with product managers, designers, and engineers to ensure research insights are integrated effectively into the product development lifecycle.

• Generate hypotheses and design research studies to validate or invalidate them, contributing to a continuous improvement feedback loop for product features.

• Maintain data integrity and ensure the ethical handling of user data throughout the research process.

📝 Enhancement Note: The responsibilities emphasize a hands-on approach to survey research, from design to analysis and reporting. The "longitudinal UX measurement" aspect indicates a need to understand user behavior over extended periods, requiring careful study design and data management. The role necessitates strong communication skills to translate technical findings into strategic product guidance.

🎓 Skills & Qualifications

Education:

Experience:

• Bachelor's degree with 7+ years of relevant UX research experience, OR

• Master's degree with 5+ years of relevant UX research experience, OR

• PhD with 2+ years of relevant UX research experience.

• Demonstrated experience in conducting primary quantitative research.

• Proven track record in survey design, item development, and leading large-scale data collection efforts.

Required Skills:

• Advanced coding proficiency in R, specifically within the Tidyverse ecosystem (e.g., dplyr, ggplot2, tidyr).

• Expertise in survey design principles, questionnaire development, and best practices for data collection.

• Strong foundation and hands-on experience in statistical analysis, including descriptive statistics, linear and logistic regression, ANOVA, and t-tests.

• Proficiency in utilizing Google Workspace tools (Docs, Sheets, Slides) for documentation, analysis, and presentation.

Preferred Skills:

• Proficiency in Python programming for data analysis and scripting.

• Familiarity with additional statistical software or platforms.

• Experience working in a large social technology company or on government-scale surveys.

• Understanding of product development lifecycles and UX design principles.

📝 Enhancement Note: The emphasis on R and the Tidyverse ecosystem is a critical technical requirement. The distinction between required and preferred skills highlights areas where candidates can differentiate themselves. The experience requirements are tiered by degree level, indicating flexibility in candidate profiles but a consistent need for substantial experience in quantitative research.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Survey Design Case Studies: Showcase examples of complex tracking surveys you have designed, detailing the research objectives, methodology, question formulation, and sampling strategy.

• Statistical Analysis Outputs: Include examples of statistical analyses performed (e.g., regression models, ANOVA tables) and how these outputs informed specific product or UX recommendations.

• Actionable Insights & Reporting: Present research reports or executive summaries that clearly translate data into actionable insights with demonstrable impact on product decisions.

• Longitudinal Study Examples: If possible, provide examples or descriptions of how you have managed and analyzed data from longitudinal studies to track changes in user behavior or perception over time.

Process Documentation:

• Demonstrate experience in documenting the end-to-end survey research process, from initial scoping and design through data collection, analysis, and reporting.

• Highlight your approach to ensuring data quality and validity in large-scale survey operations.

• Showcase how you have iterated on research processes to improve efficiency, accuracy, or impact.

📝 Enhancement Note: For a Quantitative UX Researcher role, a portfolio demonstrating practical application of survey design, statistical analysis, and insight generation is crucial. The focus should be on showcasing the impact of their work on product decisions and user experience improvements, especially through the lens of longitudinal tracking.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Dental insurance

• Health insurance

• Health savings account (HSA)

• Life insurance

• Paid time off (PTO)

• Retirement plan

Working Hours:

• Full-time, 40 hours per week, typically Monday to Friday, with 8-hour shifts. Some flexibility may be available, but core business hours will likely be expected for collaboration.

📝 Enhancement Note: The provided benefits are comprehensive for a contract role, often indicative of an employer seeking to attract and retain skilled talent for a defined period. The salary range is an estimate for a contract position in the US, factoring in the senior level and specialized skillset required for quantitative UX research.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company, Linda Werner & Associates, likely operates within the consulting, market research, or specialized staffing sectors, providing expertise to clients in technology or broader business domains. Given the job description's focus on a "Quantitative UX Researcher" for "Facebook-related issues," it strongly suggests this role is a placement or direct hire within a large technology company, possibly Meta (Facebook), or a firm that partners closely with them on UX research initiatives.

Company Size: While Linda Werner & Associates itself might be a mid-sized firm specializing in staffing or consulting, the context of the role (working on "Facebook-related issues," "large social technology company") implies the ultimate client is a very large, potentially global, technology organization. This means the researcher will likely operate within the scale and pace of a major tech company's operations.

Founded: Information about Linda Werner & Associates' founding date is not readily available. However, the nature of the role suggests the client organization is well-established.

Team Structure:

• The researcher will likely be part of a dedicated Quantitative UX Research team within the client organization.

• This team is expected to be specialized, focusing on survey-based insights and longitudinal UX measurement.

Methodology:

• The team's core methodology revolves around rigorous quantitative research techniques, particularly large-scale survey design, data collection, and advanced statistical analysis.

• Emphasis is placed on generating actionable insights that directly inform product development and user experience strategy.

• A data-driven approach is paramount, with a focus on translating complex data into clear, impactful recommendations.

Company Website: [Linda Werner & Associates: lwerner.com] (Inferred from domain_derived)

📝 Enhancement Note: The job description strongly points to this role being a contract position for a major tech company, likely Meta, rather than a core role at Linda Werner & Associates. The "About the Team" section refers to the team specializing in quantitative UX research and focusing on survey-based insights to improve product and user experience, which aligns with typical departments within large tech firms.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Quantitative UX Researcher III," indicating a senior individual contributor level. It implies a high degree of autonomy, expertise, and responsibility for leading significant research initiatives. The candidate is expected to independently manage complex projects and deliver high-impact insights. In a larger organization, this level often involves mentoring junior researchers and influencing research strategy.

Reporting Structure: The researcher will likely report to a UX Research Manager or Lead within the client organization. They will collaborate closely with product managers, UX designers, data scientists, and other quantitative researchers, forming a matrixed reporting structure common in tech companies.

Operations Impact: The direct impact of this role is on informing product strategy and user experience improvements. By providing data-driven insights from large-scale surveys, the researcher helps the organization understand user needs, identify pain points, and validate design decisions, ultimately contributing to product success, user satisfaction, and potentially revenue growth through enhanced user engagement and retention.

Growth Opportunities:

• Specialization: Deepen expertise in specific quantitative methodologies (e.g., advanced statistical modeling, causal inference) or product areas.

• Leadership: Transition into a lead or manager role within UX Research, overseeing projects and mentoring junior team members.

• Cross-functional Mobility: Leverage analytical and strategic skills for roles in Data Science, Product Analytics, or Product Management within the same organization.

• Industry Exposure: Gain invaluable experience working on large-scale, impactful projects within a leading social technology company, enhancing marketability.

📝 Enhancement Note: The "III" designation is key here, suggesting a senior role that requires significant independent contribution and problem-solving skills. The growth opportunities are framed within a large tech company context, assuming this is where the contract work will be performed.

🌐 Work Environment

Office Type: While the role is listed as "Remote Solely," the underlying client organization is likely a major tech company with a significant physical office presence. This means the remote work environment will be integrated with a company that has a strong culture of in-office collaboration, often characterized by open-plan spaces, collaboration hubs, and a focus on team interaction.

Office Location(s): The primary client organization is likely headquartered in a major tech hub (e.g., California, New York, Seattle) but operates globally, with a significant presence in the United States. Many large tech companies have extensive remote work policies, allowing employees to work from anywhere within the US.

Workspace Context:

• Remote Setup: The individual will need a dedicated, professional workspace conducive to focused work and virtual collaboration.

• Technology: Access to company-provided or company-standard collaboration tools (e.g., Slack, Zoom, Google Meet, JIRA) is expected.

• Collaboration: Opportunities for collaboration will primarily be virtual, involving video calls, shared documents, and asynchronous communication channels. While not physically co-located, the environment fosters strong team interaction through digital means.

Work Schedule:

• The standard schedule is 40 hours per week, Monday to Friday, with 8-hour shifts. While remote work offers flexibility, adherence to core working hours is typically required to facilitate real-time collaboration with teams in different time zones and to meet project deadlines.

📝 Enhancement Note: The "Remote Solely" designation is critical. It implies the candidate will work from home, but the organizational culture and collaborative norms will be those of a large, likely tech-focused, company that may have extensive physical offices.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Technical Interview(s): Expect one or more interviews focused on quantitative UX research methodologies, statistical analysis skills (R, Tidyverse), survey design principles, and problem-solving scenarios. This may involve live coding exercises or in-depth discussions of past projects.

• Portfolio Review: A dedicated session to present and discuss your portfolio, focusing on specific case studies that demonstrate your ability to design, execute, analyze, and report on large-scale tracking surveys.

• Cross-functional Interview(s): Interviews with potential collaborators (e.g., Product Managers, UX Designers) to assess teamwork, communication, and the ability to translate research insights into practical product applications.

• Hiring Manager Interview: A final discussion with the hiring manager to assess overall fit, career aspirations, and strategic thinking.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the research objectives, your specific contributions, the methodologies used, and, most importantly, the impact of your findings on product decisions and outcomes. Use metrics wherever possible (e.g., "Our insights led to a 15% improvement in user task completion").

• Showcase R Proficiency: Include examples of R code or visualizations generated in R (Tidyverse) that demonstrate your analytical capabilities. Explain your approach to data cleaning, analysis, and visualization.

• Structure for Clarity: Organize your portfolio logically, perhaps by project type or by skill demonstrated. For each case study, follow a clear narrative: problem, approach, results, and impact.

• Tailor to the Role: Highlight projects that specifically involve large-scale surveys, longitudinal data, and translating complex quantitative findings into actionable UX recommendations.

Challenge Preparation:

• Statistical Scenarios: Be prepared to discuss how you would approach analyzing a hypothetical survey dataset, or to explain statistical concepts like regression or ANOVA in simple terms.

• Survey Design Problems: Practice designing a survey for a given product scenario, including defining target audiences, question types, and potential biases to mitigate.

• Insight Articulation: Prepare to present your findings from a past project as if you were speaking to product stakeholders, emphasizing clarity, conciseness, and actionable recommendations.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's quantitative skills, particularly with R, and their ability to translate data into tangible product improvements. A well-curated portfolio that explicitly addresses the requirements of large-scale, longitudinal survey research is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Analysis: R (with a strong emphasis on the Tidyverse ecosystem, including packages like dplyr, ggplot2, tidyr, purrr). Experience with other statistical software (e.g., SPSS, SAS) may be beneficial but R is primary.

• Programming: Python (for data analysis, scripting, and potential integration with other tools).

• Survey Platforms: Experience with enterprise-level survey platforms (e.g., Qualtrics, SurveyMonkey Enterprise, Confirmit, or custom internal tools) for survey design and data collection.

• Data Visualization: Tools within R (like ggplot2), potentially supplemented by tools like Tableau, Power BI, or Looker for dashboard creation and reporting.

Analytics & Reporting:

• Data Wrangling: Libraries within R and Python for data cleaning, transformation, and preparation.

• Statistical Modeling: Capabilities within R for regression analysis, ANOVA, t-tests, and potentially more advanced techniques.

• Reporting Tools: Proficiency in creating clear, concise, and visually appealing reports and presentations using tools like Google Slides, PowerPoint, or R Markdown.

CRM & Automation:

• While not directly a CRM role, understanding how UX research data interfaces with CRM or product analytics platforms might be advantageous. Familiarity with data management and integration principles is a plus.

• Google Workspace: Essential for daily operations, including Google Docs, Sheets, Slides, and potentially Google Analytics if involved in product analytics aspects.

📝 Enhancement Note: The explicit mention of R and Tidyverse is a critical technical requirement. Python is a strong plus. Experience with enterprise survey platforms is also highly relevant for managing large-scale data collection.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision-Making: A core value is the belief in using rigorous data and evidence to guide product and UX strategy, moving beyond intuition alone.

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring their needs and experiences are at the forefront of product development.

• Rigorous Methodology: Upholding high standards for research design, execution, and analysis to ensure the validity and reliability of insights.

• Impact & Actionability: Focusing research efforts on generating insights that are not only accurate but also practical and actionable for product teams.

• Collaboration & Communication: Valuing teamwork, open communication, and the ability to effectively share findings and recommendations across diverse teams.

• Adaptability: Embracing change and the ability to pivot research priorities and methodologies in response to evolving business needs and fast-paced environments.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with product managers, UX designers, engineers, and other researchers, contributing your quantitative expertise to their efforts.

• Insight Dissemination: A proactive approach to sharing findings through presentations, reports, and direct consultation with stakeholders.

• Feedback Loops: Engaging in constructive feedback sessions to refine research approaches and ensure insights are effectively integrated into product roadmaps.

• Knowledge Sharing: Contributing to a culture of learning by sharing best practices, tools, and techniques within the research community.

📝 Enhancement Note: The company culture, as inferred from the job description, emphasizes a blend of analytical rigor, user advocacy, and collaborative execution within a dynamic tech environment. These values are critical for success in a quantitative research role.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity & Shifting Priorities: The fast-paced nature of tech product development means research priorities can change rapidly. Adapting to these shifts while maintaining research quality is key.

• Scale of Data: Managing and analyzing data from large-scale tracking surveys requires robust methodological skills and efficient data processing techniques.

• Translating Data to Action: The challenge lies in moving beyond presenting raw data to articulating clear, actionable insights that directly influence product strategy and design.

• Balancing Multiple Projects: Effectively prioritizing and managing concurrent research initiatives to meet deadlines without compromising quality.

Learning & Development Opportunities:

• Advanced Methodologies: Opportunity to deepen expertise in statistical modeling, causal inference, or specific survey design techniques relevant to large-scale research.

• Product Domain Exposure: Gain in-depth understanding of user behavior and product ecosystems within a leading social technology platform.

• Cross-functional Collaboration: Enhance skills in communicating complex findings to diverse audiences and influencing product strategy through data.

• Tool Proficiency: Further develop advanced skills in R, Python, and enterprise survey platforms.

• Industry Best Practices: Learn from leading researchers in the field and contribute to best practices in quantitative UX research.

📝 Enhancement Note: This role offers significant opportunities for professional development by tackling complex challenges inherent in large-scale tech product research and providing exposure to advanced methodologies and product domains.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed and executed a large-scale tracking survey. What were your key objectives, methodologies, and the impact of your findings?" (Focus on R, survey design, longitudinal aspects, and quantifiable outcomes).

• "How would you approach analyzing a dataset from a user tracking survey to identify key drivers of user churn?" (Demonstrate statistical reasoning, hypothesis testing, and insight generation).

Company & Culture Questions:

• "What interests you about working on 'Facebook-related issues' or within a large social technology company?" (Research the client's mission, products, and the specific team's goals if possible).

• "How do you ensure your research findings are adopted by product teams, especially when they challenge existing assumptions?" (Highlight collaboration, communication, and data storytelling skills).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each selected case study, clearly define the problem, your role and methodology (especially R and survey design), the key findings, and the resulting impact or recommendations.

• Show, Don't Just Tell: If possible, include anonymized examples of your R code, statistical outputs, visualizations, and report excerpts. Explain your thought process behind each.

• Quantify Everything: Emphasize metrics, data points, and the tangible outcomes of your research. Use numbers to demonstrate the value you bring.

• Focus on Actionability: Clearly articulate how your insights translated into concrete product changes or strategic decisions.

📝 Enhancement Note: Interview preparation should heavily lean into demonstrating mastery of R, statistical analysis, survey design, and the ability to translate complex quantitative data into actionable product insights within a fast-paced tech environment.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Greenhouse portal.

• Portfolio Customization: Prepare a portfolio that prominently features your experience with R (Tidyverse), large-scale survey design, and longitudinal UX measurement. Select 2-3 key projects that best showcase your ability to deliver actionable insights from complex quantitative data.

• Resume Optimization: Ensure your resume clearly highlights your experience with quantitative research methodologies, statistical software (especially R), survey design, and relevant years of experience as per the job requirements. Use keywords from the job description.

• Interview Preparation: Practice articulating your experience with specific examples related to quantitative UX research. Be ready to discuss your approach to survey design, statistical analysis, and reporting, with a focus on how your work has driven product and UX improvements.

• Company Research: Research Linda Werner & Associates and, more importantly, the likely client (a major social technology company) to understand their products, user base, and research priorities. This will help tailor your responses and demonstrate genuine interest.

⚠️ 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.