UX Researcher - Mixed Methods

📍 Job Overview

Job Title: UX Researcher - Mixed Methods

Company: Linda Werner & Associates

Location: Remote - United States

Job Type: Contract - 12+ Month Position

Category: UX Research / Product Research / Data & Analytics

Date Posted: 2026-09-10

Experience Level: 10+ Years

Remote Status: Remote Solely

🚀 Role Summary

• Lead complex, large-scale mixed-methods research programs to understand and mitigate product risk and compliance issues within a global application portfolio.

• Partner closely with cross-functional teams including Compliance, Legal, Policy, Product Management, Design, and Data Science to inform critical product and policy decisions.

• Apply rigorous qualitative and quantitative research methodologies, including interviews, diary studies, surveys, concept evaluation, and usability research.

• Conduct in-depth quantitative analysis using statistical tools and techniques to support research findings and drive actionable insights.

📝 Enhancement Note: This role is explicitly positioned as a senior individual contributor, focusing on complex, ambiguous problems that extend beyond typical feature-level usability testing. The emphasis on "product risk, regulatory considerations, compliance, and user trust" indicates a high-impact role requiring strong methodological judgment and the ability to influence policy and business decisions.

📈 Primary Responsibilities

• Design and execute comprehensive mixed-methods research studies, encompassing qualitative techniques such as interviews and diary studies, alongside quantitative methods like surveys and concept evaluations.

• Manage the entire research lifecycle independently, from initial research planning and participant recruitment to data collection, analysis, synthesis, and clear communication of findings to stakeholders.

• Select and justify the most appropriate qualitative and quantitative methodologies based on the specific research question, available timeline, and overarching business needs.

• Perform robust quantitative analysis, including survey data analysis, sampling strategies, data weighting, descriptive statistics, and inferential statistical analysis.

• Triangulate insights derived from qualitative findings, quantitative data, and existing product or behavioral signals to provide a holistic understanding of user behavior and risk factors.

• Translate complex research findings into clear, concise, and actionable recommendations that directly influence product development, policy formulation, and strategic business decisions.

• Foster strong collaborative relationships with key cross-functional partners in Product, Compliance, Legal, Policy, Design, and Data Science to ensure research alignment and impact.

• Effectively communicate and socialize research insights across various teams, extending beyond the immediate product group to broader organizational stakeholders.

• Maintain meticulous research documentation, ensuring project clarity, reproducibility, and smooth handoffs when necessary.

• Navigate ambiguous research questions, compressed timelines, shifting priorities, and evolving stakeholder needs with autonomy and strategic foresight.

📝 Enhancement Note: The responsibilities highlight a need for a researcher who can operate with a high degree of autonomy in ambiguous and high-stakes environments. The emphasis on influencing "product and policy direction" and managing "product risk, regulatory considerations, compliance, and user trust" points towards a need for strategic thinking and robust methodological justification, rather than just tactical execution.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Master's or Ph.D. in Human-Computer Interaction, Psychology, Sociology, Statistics, or a related field is often preferred for senior research roles, especially those involving complex quantitative analysis.

Experience: 10+ years of hands-on experience in UX Research, Product Research, or a directly related research discipline.

Required Skills:

• Proven expertise in independently designing and executing complex <strong data-start="3178" data-end="3204">mixed methods research</strong> programs.

• Deep qualitative research proficiency across a variety of methodologies, including in-depth interviews, ethnographic studies, and diary studies.

• Strong quantitative research capabilities, encompassing survey design, sampling strategies, data cleaning, weighting techniques, and statistical analysis.

• Hands-on experience utilizing statistical or scripting tools such as <strong data-start="3464" data-end="3486">R, Python, or SPSS</strong> for data analysis.

• Demonstrated ability to critically evaluate methodological tradeoffs and adapt research approaches in response to changing constraints and evolving project requirements.

• Experience in identifying and actively addressing potential issues related to sampling, bias, and research validity to ensure robust and reliable findings.

• A strong portfolio showcasing proven examples where research findings materially influenced significant product, policy, or business decisions.

• Experience collaborating effectively with cross-functional partners in fast-paced, ambiguity-heavy environments.

• A thorough understanding of research ethics, participant privacy regulations, and best practices for data handling. Preferred Skills:

• Experience conducting international or multi-market research initiatives.

• Experience integrating large-scale behavioral or product log data with primary research findings.

• Familiarity with in-house survey platforms for efficient data collection.

• Experience conducting research within a large-scale technology organization or platform.

• Specific experience with research related to product risk, compliance, integrity, safety, policy, regulatory matters, or other high-consequence research domains.

📝 Enhancement Note: The required qualifications emphasize a blend of deep qualitative insight and strong quantitative rigor, with a particular focus on the ability to apply statistical tools and manage methodological complexities. The explicit mention of R, Python, or SPSS suggests a need for researchers comfortable with data manipulation and analysis beyond basic descriptive statistics. The "10+ years" combined with the emphasis on influencing policy and business decisions indicates a senior-level role requiring strategic thinking and significant impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of end-to-end mixed-methods research projects, showcasing the full lifecycle from planning and execution to analysis and actionable recommendations.

• Case studies that clearly articulate the research questions, chosen methodologies (both qualitative and quantitative), and the rationale behind those choices.

• Examples of quantitative analysis, including survey design, statistical outputs, and how these were integrated with qualitative findings.

• Evidence of research directly influencing product features, policy changes, or business strategy, with measurable outcomes or impact where possible.

• Documentation illustrating the ability to navigate ambiguity, adapt methodologies, and manage evolving stakeholder needs. Process Documentation:

• Clear documentation of research plans, including participant criteria, recruitment strategies, and data collection protocols.

• Detailed analysis reports that synthesize qualitative insights and quantitative data, highlighting key findings and their implications.

• Presentation materials (e.g., slide decks, reports) that effectively communicate complex research findings to diverse audiences, including non-research stakeholders.

• Examples of how research findings were translated into specific, actionable recommendations for product, policy, or business teams.

📝 Enhancement Note: Given the role's emphasis on influencing policy and product risk, a portfolio must go beyond standard usability reports. It needs to demonstrate the capacity for rigorous quantitative analysis, strategic methodological choices, and a clear link between research insights and impactful business or policy outcomes. The ability to explain methodological tradeoffs and address validity concerns will be crucial.

💵 Compensation & Benefits

Salary Range: As this is a contract position in the United States, and for a senior-level researcher with 10+ years of experience and specialized mixed-methods skills in product risk and compliance, the estimated hourly rate would likely range from $75 to $120 USD per hour, depending on specific experience, the client's budget, and negotiation. This translates to an annualized equivalent of approximately $156,000 to $249,600 USD.

Benefits:

• Comprehensive Medical Insurance

• Dental Insurance

• Vision Insurance

• Health Savings Account (HSA)

• Life Insurance

• Paid Time Off (PTO)

• Retirement Plan (e.g., 401k, potentially with employer match)

Working Hours: 40 hours per week, typically scheduled Monday to Friday with an 8-hour shift. While a standard schedule is expected, flexibility may be required to accommodate cross-functional team needs and project deadlines.

📝 Enhancement Note: The salary range is estimated based on industry benchmarks for senior remote UX Researchers in the US, considering the specialized nature of product risk and compliance research, and the contract employment type. Benefits listed are typical for contract roles through agencies or directly with companies offering contractor benefits, though specific details can vary.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company, Linda Werner & Associates, appears to operate as a consultancy or staffing firm, placing professionals in various roles. The specific client is within the technology sector, likely a large-scale application provider, given the focus on "global family of applications" and "product risk & compliance." This suggests a dynamic, fast-paced environment common in tech.

Company Size: As a consultancy/staffing firm, Linda Werner & Associates itself might be of moderate size. However, the client the UX Researcher will be supporting is likely a large technology company, given the scope of work involving global applications and complex cross-functional partnerships (Legal, Policy, Data Science). This implies a large, established corporate structure for the end client.

Founded: Information on the founding date of Linda Werner & Associates is not readily available, but the engagement with a large tech client suggests an established presence.

Team Structure:

• The UX Researcher will be part of a dedicated "Product Risk & Compliance research team," indicating a specialized unit focused on these critical areas.

• This researcher will operate as a senior individual contributor, implying a need for self-direction and leadership within their research domain.

• Close collaboration is expected with various departments: Compliance, Legal, Policy, Product Management, Design, and Data Science, suggesting a matrixed reporting or strong cross-functional alignment structure. Methodology:

• The team emphasizes a <strong data-start="1352" data-end="1833">mixed-methods approach</strong>, requiring both qualitative depth and quantitative rigor.

• Research findings are intended to directly influence <strong data-start="1068" data-end="1139">product risk, regulatory considerations, compliance, and user trust</strong>, indicating a data-driven decision-making process at a strategic level.

• Methodological judgment, understanding of tradeoffs, and ability to address sampling and bias are core to their research practices.

Company Website: https://www.lwerner.com/ (Assuming this is the correct website for Linda Werner & Associates, based on common patterns)

📝 Enhancement Note: The context suggests that while Linda Werner & Associates is the hiring entity, the day-to-day work and team environment will be dictated by the large technology client. The emphasis on product risk and compliance points to a high-stakes, potentially highly regulated environment within the client organization.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Researcher role, an individual contributor position at the advanced level of the UX research career path. It requires significant autonomy, methodological expertise, and the ability to lead complex, high-impact projects independently. The focus on product risk and compliance places it at a strategic level, influencing critical business and policy decisions.

Reporting Structure: The researcher will report within a "Product Risk & Compliance research team." While it's an individual contributor role, they will likely have a direct manager or lead for the research team, with close day-to-day collaboration and project alignment with stakeholders in Compliance, Legal, Policy, Product Management, Design, and Data Science.

Operations Impact: The impact of this role is significant and strategic. Research findings directly inform decisions related to product risk, regulatory adherence, compliance protocols, and user trust. This means the researcher's work can prevent significant financial, legal, or reputational damage and shape the ethical direction of products. The ability to influence policy decisions is a key aspect of this impact.

Growth Opportunities:

• Specialization: Deepen expertise in product risk, compliance, and regulatory research within the tech industry.

• Methodological Advancement: Become a go-to expert for complex mixed-methods research and advanced quantitative analysis within the client organization.

• Cross-functional Leadership: Develop stronger influencing and communication skills by working with high-level stakeholders in Legal, Policy, and Compliance.

• Potential for Extension/Full-time: Successful performance in this 12+ month contract role could lead to contract extensions or opportunities for full-time positions within the client organization or at Linda Werner & Associates.

📝 Enhancement Note: The "10+ years" experience requirement and the nature of the work (product risk, compliance, policy influence) indicate a senior-level role where growth is less about climbing a traditional management ladder and more about deepening expertise, increasing strategic influence, and tackling more complex, high-stakes challenges.

🌐 Work Environment

Office Type: This is a fully remote role, meaning the primary work environment will be a home office. However, the work will be conducted within the framework of a large technology company's operations.

Office Location(s): Remote - United States. This implies candidates must be legally authorized to work in the US and reside within the United States. The specific timezone mentioned (America/Chicago) suggests a preference or anchor point for team meetings, but the role is open nationwide.

Workspace Context:

• Collaborative Environment: Despite being remote, the role demands significant collaboration with various internal teams (Product, Design, Data Science, Legal, Compliance, Policy) through virtual communication tools.

• Operations Tools & Technology: Access to standard remote work tools (video conferencing, Slack/Teams, project management software) will be essential. Proficiency with research platforms, survey tools, and statistical software (R, Python, SPSS) is critical.

• Team Interaction: Regular virtual meetings, team syncs, and knowledge-sharing sessions will be part of the work to maintain connection and alignment within the research team and with cross-functional partners.

Work Schedule: A standard 40-hour work week is expected, Monday to Friday, with 8-hour shifts. While remote work offers flexibility, adherence to core working hours for collaboration and responsiveness to urgent research needs related to risk and compliance may be necessary.

📝 Enhancement Note: The remote nature of the role requires strong self-discipline and proactive communication. While not office-bound, the need to collaborate closely with Legal, Compliance, and Policy teams suggests a professional and organized work style is expected, even from a home office.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter from Linda Werner & Associates will likely conduct an initial screening call to assess basic qualifications, experience, and interest.

• Hiring Manager Interview: This will focus on your experience with mixed-methods research, ability to handle ambiguity, and understanding of product risk/compliance. Be prepared to discuss specific examples from your portfolio.

• Technical/Methodology Interview: Expect in-depth questions about your research methodologies, quantitative analysis skills (including R/Python/SPSS), how you handle sampling and bias, and your approach to research ethics. You may be asked to walk through specific case studies from your portfolio.

• Cross-functional Stakeholder Interviews: You may meet with representatives from Product, Legal, or Compliance to assess your ability to collaborate, communicate effectively, and understand their needs.

• Final Interview/Offer: A final discussion to confirm fit and extend an offer.

Portfolio Review Tips:

• Highlight Mixed Methods: Clearly showcase projects where you integrated both qualitative and quantitative approaches. Explain why this integration was necessary and how it led to richer insights.

• Emphasize Impact: For each case study, articulate the problem, your approach, the key findings, and, most importantly, the impact your research had on product decisions, policy changes, or business outcomes. Quantify impact where possible.

• Showcase Quantitative Skills: Include examples of survey design, data analysis, and statistical interpretation. Be ready to discuss your experience with R, Python, or SPSS and how you used them to derive insights.

• Address Ambiguity & Risk: Select projects that demonstrate your ability to handle complex, ill-defined problems, especially those related to risk, compliance, or policy. Explain how you navigated these challenges.

• Methodological Justification: Be prepared to explain your methodological choices, including tradeoffs, limitations, and how you ensured research validity and addressed potential biases.

Challenge Preparation:

• Methodology Deep Dive: Be ready for a hypothetical research problem and asked to outline your approach, including methodology, sampling, and analysis plan.

• Quantitative Analysis Scenario: You might be presented with a dataset or scenario and asked how you would analyze it using R, Python, or SPSS to answer a specific question.

• Stakeholder Alignment Exercise: Prepare to discuss how you would approach a research request from Legal or Compliance, ensuring you understand their needs while maintaining research integrity.

📝 Enhancement Note: The interview process for this senior role will be rigorous, focusing heavily on your demonstrated ability to conduct complex mixed-methods research, handle ambiguity, and drive significant business impact. A well-curated portfolio that clearly articulates these capabilities is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Qualitative Research Tools: Platforms for conducting remote interviews, usability testing, and diary studies (e.g., UserTesting.com, Lookback, Zoom, Google Meet).

• Survey Platforms: Tools for designing, distributing, and collecting survey data (e.g., Qualtrics, SurveyMonkey, Google Forms, potentially internal tools).

• Statistical Analysis Software: Essential for quantitative analysis. Proficiency in <strong data-start="3464" data-end="3486">R, Python (with libraries like Pandas, SciPy, Statsmodels), or SPSS</strong> is explicitly required.

• Data Visualization Tools: For creating charts, graphs, and dashboards to present findings (e.g., Tableau, Power BI, Matplotlib/Seaborn in Python).

Analytics & Reporting:

• Spreadsheet Software: Advanced proficiency in Microsoft Excel or Google Sheets for data manipulation and analysis.

• Data Warehousing/BI Tools: Familiarity with how to access and interpret data from company data warehouses or Business Intelligence platforms might be beneficial.

CRM & Automation:

• While not a direct CRM role, understanding how user data is managed and how research insights feed into product roadmaps and compliance checks is important. Familiarity with product analytics platforms (e.g., Amplitude, Mixpanel) could be a plus.

📝 Enhancement Note: The explicit requirement for R, Python, or SPSS indicates a deep need for quantitative analysis skills beyond what standard survey tools offer. Candidates should be prepared to demonstrate proficiency in using these tools for statistical modeling and data manipulation.

👥 Team Culture & Values

Operations Values:

• Rigorous Data Integrity: A strong emphasis on methodological soundness, accuracy in analysis, and ethical research practices, crucial for high-stakes areas like risk and compliance.

• Impact-Driven: A focus on producing research that leads to tangible improvements in product safety, compliance, and user trust, rather than research for its own sake.

• Collaboration & Partnership: Valuing close working relationships with Legal, Policy, Product, and Compliance teams to ensure research is relevant, understood, and actionable.

• Adaptability & Resilience: Embracing ambiguity and evolving project requirements, demonstrating the ability to pivot research strategies when necessary.

• User-Centricity in Risk: Applying a deep understanding of user needs and behaviors to proactively identify and mitigate potential risks.

Collaboration Style:

• Cross-functional Integration: Proactive engagement with diverse teams, translating complex research concepts into language understandable by Legal, Policy, and Product stakeholders.

• Process Improvement Culture: Continuously seeking ways to refine research methodologies and workflows for greater efficiency and impact, especially in fast-paced environments.

• Knowledge Sharing: Openness to sharing insights, methodologies, and learnings across teams to foster a collective understanding of user behavior and product risks.

📝 Enhancement Note: The culture likely reflects the seriousness of working in product risk and compliance. While collaborative and user-focused, there will be an underlying emphasis on precision, accuracy, and the critical importance of the research outcomes for the organization's legal and ethical standing.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity and Shifting Priorities: Research questions and stakeholder needs can be fluid in risk and compliance areas, requiring adaptability and strong prioritization skills.

• Balancing Rigor with Speed: The need to conduct thorough, methodologically sound research under potentially compressed timelines typical of tech and regulatory environments.

• Influencing High-Consequence Decisions: The weight of research findings in areas like compliance and legal matters means high stakes and the need for utmost confidence in recommendations.

• Bridging Diverse Stakeholder Needs: Effectively communicating complex research findings and recommendations to audiences with very different expertise (e.g., Legal vs. Product vs. Design).

Learning & Development Opportunities:

• Deep Domain Expertise: Gaining specialized knowledge in product risk, compliance, regulatory frameworks, and user trust within the technology sector.

• Advanced Methodological Skills: Honing advanced quantitative analysis techniques and mastering complex mixed-methods study designs.

• Strategic Influence: Developing skills in stakeholder management, executive communication, and influencing high-level policy and product strategy.

• Exposure to Legal & Policy: Understanding the intricacies of legal and policy frameworks that govern technology products.

📝 Enhancement Note: The primary challenge lies in the high-stakes nature of the work and the need for extreme precision and strategic influence. Growth opportunities are heavily geared towards deepening specialized domain knowledge and enhancing strategic impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to conduct research with significant ambiguity. How did you define the research questions and methodology?" (Focus on your process for structuring uncertainty and your methodological judgment).

• "How would you approach researching potential user trust issues related to data privacy in a new feature?" (Demonstrate understanding of user trust, privacy concerns, and how to investigate them using mixed methods).

• "Tell me about a research project where your findings influenced a significant product or policy decision. What was the impact?" (Highlight your ability to translate research into actionable outcomes and quantify impact).

• "Imagine Legal and Product have conflicting requirements for a research study. How would you navigate this and ensure the research is both valid and useful?" (Focus on negotiation, stakeholder management, and methodological justification). Company & Culture Questions:

• "What interests you about researching product risk and compliance, as opposed to feature optimization?" (Show genuine interest in the domain and its importance).

• "How do you ensure research ethics and participant privacy are maintained, especially when dealing with sensitive topics?" (Demonstrate awareness of ethical standards).

• "How do you collaborate with non-research teams like Legal, Policy, and Data Science?" (Provide examples of successful cross-functional partnerships). Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly outline: Problem/Context -> Research Questions -> Methodology (with justification) -> Key Findings -> Recommendations -> Impact.

• Quantify When Possible: Use numbers and metrics to demonstrate the scale of the problem, the sample size, the statistical significance of findings, and the impact of your recommendations.

• Showcase Your Process: Be ready to walk through your thought process for choosing methodologies, designing instruments, and analyzing data, especially for quantitative components using R, Python, or SPSS.

• Highlight Adaptability: If a project involved unexpected challenges or shifts in scope, explain how you adapted your approach.

• Focus on the "So What?": Ensure every presentation clearly answers what the implications of your research are for the business, product, or policy.

📝 Enhancement Note: Interview preparation should heavily emphasize your quantitative analysis skills, your ability to handle complex and sensitive research topics, and your proven track record of influencing strategic decisions. Be ready to defend your methodological choices and articulate the business value of your research.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Greenhouse job board.

• Curate Your Portfolio for Impact: Select 2-3 key projects that best demonstrate your mixed-methods expertise, quantitative analysis skills (especially with R, Python, or SPSS), and your ability to drive significant product or policy decisions in high-stakes areas like risk and compliance. Ensure each case study clearly articulates the problem, your approach, findings, and quantifiable impact.

• Optimize Your Resume: Tailor your resume to highlight your 10+ years of experience, specific methodologies used, proficiency with statistical tools, and examples of influencing product/policy. Use keywords from the job description such as "mixed methods," "quantitative analysis," "product risk," "compliance," and "R/Python/SPSS."

• Prepare Your Narrative: Practice articulating your experience and portfolio projects concisely and compellingly. Be ready to discuss your methodological reasoning, how you handle ambiguity, and your understanding of research ethics. Prepare specific examples that showcase your ability to work with Legal, Policy, and Compliance stakeholders.

• Research the Company (Client): Understand the general landscape of product risk and compliance in the technology sector. While Linda Werner & Associates is the hiring entity, your work will be for their client, so understanding the broader industry context is beneficial.

⚠️ 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.

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