UX Researcher II

📍 Job Overview

Job Title: UX Researcher II
Company: Reed Technology (LexisNexis Legal & Professional)
Location: Raleigh, NC, USA
Job Type: Full-Time
Category: User Experience Research (UXR) / Product Development Operations
Date Posted: October 21, 2025
Experience Level: Mid-Level (Implied by II designation and responsibility scope)
Remote Status: Hybrid (Remote OK indicated, with flexible working hours)

🚀 Role Summary

• Lead and manage user research initiatives to deeply understand user behaviors, needs, and motivations within the legal technology domain.
• Plan, execute, and analyze a variety of qualitative and quantitative research studies to inform product strategy and design.
• Synthesize complex research findings into actionable insights and present clear, compelling recommendations to cross-functional stakeholders, including product managers, designers, and executives.
• Collaborate closely with design and product teams to iterate on solutions, ensuring user-centered design principles are integrated throughout the product development lifecycle.
• Stay abreast of market trends, competitor analysis, and advancements in AI and user research methodologies, particularly as they apply to AI-powered legal products.

📝 Enhancement Note: The "II" in UX Researcher II, coupled with the responsibility to "manage people who help teams" and act as a "high level of research expert," suggests a role with significant autonomy and potential for team leadership, moving beyond individual contribution. The explicit mention of "AI products" and "Jobs to Be Done" framework indicates a strategic focus on modern product development methodologies within a specialized industry.

📈 Primary Responsibilities

• Design and execute comprehensive user research plans, employing diverse methodologies such as usability testing, in-depth interviews, surveys, focus groups, and ethnographic studies.
• Proactively collaborate with product managers, designers, engineers, and business stakeholders to define research objectives, identify key research questions, and align on project scope.
• Recruit and manage participant recruitment for research studies, ensuring diverse and representative user samples.
• Analyze and synthesize both qualitative (e.g., interview transcripts, user feedback) and quantitative (e.g., survey data, analytics) research data to identify key themes, patterns, and actionable insights.
• Develop and deliver clear, concise, and persuasive research reports and presentations, translating complex findings into strategic recommendations for product improvement and innovation.
• Partner closely with UX/UI designers to iterate on design concepts, prototypes, and user flows based on research findings, conducting validation testing to ensure efficacy.
• Conduct competitive analysis and market research to identify emerging user needs, industry best practices, and opportunities for competitive differentiation in the legal tech space.
• Champion user-centered design principles and advocate for user needs across the organization, fostering a culture of empathy and data-driven decision-making.

📝 Enhancement Note: The responsibilities listed imply a need for strong project management skills, the ability to influence without direct authority, and a proactive approach to identifying research opportunities. The emphasis on synthesizing data and communicating recommendations highlights the critical role of this position in bridging user understanding with product strategy.

🎓 Skills & Qualifications

Education: Bachelor's degree in Human Factors, Psychology, Anthropology, Human Geography, HCI, Cognitive Science, or a related field.
Experience: Demonstrated experience in planning and conducting user research studies, with a progression towards leading projects independently. Experience researching AI products and leveraging AI tools to support research processes is a key requirement. Familiarity with the Jobs to Be Done (JTBD) framework is essential.

Required Skills:

• Proficiency in a wide range of user research methods, including usability testing, in-depth interviews, surveys, and ethnographic studies.
• Proven ability to independently manage and execute small to medium-sized research projects from inception to completion.
• Experience utilizing survey tools such as SurveyMonkey, Qualtrics, or similar platforms for data collection and analysis.
• Strong analytical skills with the ability to synthesize qualitative and quantitative data into meaningful findings and actionable insights.
• Excellent communication and presentation skills, with the ability to clearly articulate research recommendations to diverse audiences, including executives.
• Experience collaborating effectively with cross-functional teams, including product managers, designers, and engineers.
• Familiarity with the Jobs to Be Done (JTBD) framework for understanding user needs and motivations.
• Experience researching and understanding AI-powered products and their user implications.

Preferred Skills:

• Master's or Ph.D. in a relevant field, providing advanced theoretical and practical knowledge.
• Experience with advanced statistical analysis techniques and tools.
• Familiarity with agile development methodologies and integrating research within sprint cycles.
• Experience in the legal technology or information services industry.
• Experience with generative AI tools for research assistance or user experience analysis.
• Portfolio showcasing impactful research projects and their influence on product outcomes.

📝 Enhancement Note: The requirement for "leading small to medium projects independently" suggests a mid-level role. The explicit mention of researching AI products and using AI to assist with research points to a forward-thinking approach, essential in today's rapidly evolving tech landscape. The inclusion of "Jobs to Be Done" indicates a focus on understanding fundamental user motivations rather than just surface-level needs.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a diverse range of research projects that demonstrate proficiency across various methodologies (e.g., usability testing, interviews, surveys).
• Provide clear examples of how research findings directly influenced product strategy, design decisions, and improved user experience metrics.
• Include case studies that highlight your ability to synthesize complex qualitative and quantitative data into actionable insights.
• Detail your process for participant recruitment, study design, data analysis, and communication of recommendations, emphasizing efficiency and rigor.
• Demonstrate experience in researching complex products, ideally AI-driven or data-intensive applications within the legal or professional services domain.

Process Documentation:

• Document your approach to defining research questions in collaboration with stakeholders, ensuring alignment with business objectives.
• Illustrate your methods for designing research protocols, including participant screening, interview guides, and survey instruments.
• Detail your systematic approach to data analysis, from initial coding and thematic analysis to statistical interpretation, and how you translate findings into strategic recommendations.
• Provide examples of how you have iterated on designs based on research feedback and validated solutions through further testing.

📝 Enhancement Note: For a UX Researcher II role, a portfolio is crucial. It should not just list projects but tell a story about the research process, the challenges encountered, the methodologies used, and, most importantly, the impact of the research on product development and business outcomes. A strong portfolio will demonstrate an understanding of how research drives value and innovation.

💵 Compensation & Benefits

Salary Range: $70,200 - $117,100 USD per year.
Explanation of Range: This range reflects the national base pay for a UX Researcher II in the United States, considering the mid-level experience implied by the role designation and responsibilities. Geographic differentials may apply to better reflect local market rates in Raleigh, NC.

Benefits:

• Health Benefits: Comprehensive, multi-carrier program for medical, dental, and vision benefits.
• Retirement Benefits: 401(k) with employer match and an Employee Share Purchase Plan.
• Wellbeing: Access to a wellness platform with incentives, a Headspace app subscription, and Employee Assistance Programs (EAP).
• Insurance: Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity coverage.
• Family Benefits: Including bonding and family care leaves, adoption, and surrogacy benefits.
• Spending Accounts: Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts.
• Time Off: Generous Paid Time Off (PTO) policy, plus up to two additional paid days per year for participation in Employee Resource Groups (ERGs) and volunteering with a charity of choice.

Working Hours: Flexible working hours are offered, allowing employees to adjust their schedules to optimize productivity and work-life balance. A standard full-time workweek is approximately 40 hours.

📝 Enhancement Note: The provided salary range is a national average. For Raleigh, NC, the cost of living and local market compensation data would need to be cross-referenced for a more precise estimate. The inclusion of "Geographic differentials may apply" is a standard practice. The extensive benefits package indicates a company that invests in employee well-being and long-term commitment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Legal Technology, Analytics, and Decision Tools. LexisNexis Legal & Professional operates within the broader RELX group, a global provider of information-based analytics. Company Size: RELX (the parent company) has approximately 11,800 employees worldwide, with over 2,000 technologists, data scientists, and experts dedicated to developing advanced solutions. This indicates a large, established organization with significant resources. Founded: LexisNexis has a long history, pioneering online legal and business information services. It's part of RELX, a company with a global presence and a commitment to digital innovation.

Team Structure:

• The UX Research team likely operates within a larger Product Development or Technology division.
• The role involves managing people who assist teams, suggesting potential for direct or indirect team leadership within the UX Research function.
• Collaboration is emphasized across product management, design, engineering, and potentially marketing or sales.
• The team is part of a global organization, suggesting opportunities for cross-cultural collaboration and exposure to diverse user bases.

Methodology:

• The company is a leader in deploying AI and advanced technologies, particularly generative AI, into the legal market, adhering to Responsible AI Principles.
• Research methodologies will likely be data-driven, qualitative and quantitative, with a strong emphasis on synthesis and actionable insights.
• The "Jobs to Be Done" framework suggests a focus on understanding underlying user motivations and the "why" behind product usage.
• Iterative design and testing processes are integral, informed by user research findings.

Company Website: https://www.lexisnexis.com/ (LexisNexis) and https://www.relx.com/ (RELX)

📝 Enhancement Note: LexisNexis's position as a leader in legal tech, combined with RELX's focus on analytics and decision tools, means this UX Researcher will work on products that have a significant impact on professional workflows and decision-making. The company's commitment to AI and Responsible AI principles suggests a forward-thinking and ethically conscious approach to technology development.

📈 Career & Growth Analysis

Operations Career Level: UX Researcher II signifies a mid-level professional with established research skills and the capacity to lead projects and potentially manage junior researchers or influence team direction. This role is a step towards senior-level research positions, requiring strategic thinking and cross-functional influence. Reporting Structure: The role implies reporting to a UX Research Lead, Manager, or Director. The responsibility to "represent UX research to peers, managers and executives" indicates significant visibility and interaction with senior leadership. Operations Impact: This role directly impacts product success by ensuring user needs are met, leading to increased adoption, customer satisfaction, and ultimately, revenue growth. By improving the usability and effectiveness of legal technology products, the UX Researcher contributes to LexisNexis's mission of advancing the rule of law through better information and analytics.

Growth Opportunities:

• Specialization: Deepen expertise in specific research methodologies, AI product research, or the legal domain.
• Leadership: Progress to Senior UX Researcher, Lead UX Researcher, or Managerial roles overseeing research teams and strategy.
• Cross-functional Mobility: Transition into Product Management, UX Design leadership, or roles within Data Science/Analytics focused on user behavior.
• Skill Development: Continuous learning opportunities in advanced research techniques, AI ethics, and emerging technologies through internal training, conferences, and potentially further education.
• Impact Expansion: Lead research for larger, more complex, or strategically critical product initiatives, influencing broader product roadmaps.

📝 Enhancement Note: The "II" designation is a key indicator of mid-level progression. Candidates at this stage are expected to be largely independent but also capable of mentoring others or taking on more complex, strategic research initiatives. The emphasis on stakeholder management and executive communication points towards a role that offers significant visibility and potential for career advancement within a large, established organization.

🌐 Work Environment

Office Type: The position is designated as "Remote OK," suggesting a hybrid work model where employees have flexibility. This could mean a mix of in-office collaboration days and remote work. Office Location(s): Raleigh, NC (RDU area) is the primary specified location. The company is part of RELX, a global organization, implying potential for virtual collaboration with teams in various regions.

Workspace Context:

• Collaborative Environment: Employees are encouraged to collaborate, with opportunities to work with designers, product managers, and engineers. The mention of "Employee Resource Groups" (ERGs) also points to a community-focused environment.
• Tools & Technology: Access to standard professional tools, including survey platforms (e.g., SurveyMonkey, Qualtrics), research software, and likely enterprise collaboration tools. The role specifically involves researching AI products, implying exposure to cutting-edge technologies.
• Team Interaction: Regular team meetings, cross-functional project discussions, and informal communication channels are expected to facilitate collaboration and knowledge sharing.

Work Schedule: Flexible working hours are explicitly mentioned, allowing employees to adjust their work times to maximize productivity and accommodate personal needs. This flexibility is crucial for roles that involve deep analytical work and collaboration across different time zones.

📝 Enhancement Note: While "Remote OK" offers flexibility, candidates should clarify the expected balance of remote vs. in-office work for the Raleigh location. The emphasis on flexible hours and a supportive work-life balance is a significant perk for professionals seeking autonomy and control over their schedules.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications, focusing on relevant experience and qualifications, particularly in user research methodologies and AI product experience.
• Hiring Manager Interview: Discussion of your background, experience, and how it aligns with the role requirements. This may include behavioral questions and discussions about specific research projects.
• Portfolio Review & Presentation: A critical stage where you will present a selection of your best research case studies. This is where you demonstrate your process, insights, and impact. Be prepared to discuss your methodology, challenges, and the outcomes of your work.
• Team Interviews: Meetings with potential colleagues (designers, product managers, other researchers) to assess collaboration style, technical skills, and cultural fit.
• Executive/Senior Leadership Interview: A final interview, potentially with a Director or VP, to assess strategic thinking, leadership potential, and overall fit within the organization.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your skills in diverse research methodologies, AI product research, and impact on product outcomes.
• Structure Your Narrative: For each project, clearly outline the problem, your role and methodology, the research process, key findings, actionable recommendations, and the impact/outcomes. Use visuals where appropriate.
• Highlight AI Experience: Explicitly detail any experience researching AI products, including specific challenges and learnings.
• Showcase JTBD: If applicable, demonstrate how you've used or can apply the Jobs to Be Done framework.
• Be Ready for Deep Dives: Expect questions about your decision-making process, how you handled unexpected results, and how you influenced stakeholders.

Challenge Preparation:

• Methodology Deep Dive: Be prepared to discuss the pros and cons of various research methods, when to use each, and how you adapt them to different contexts.
• Problem-Solving Scenarios: Anticipate hypothetical research problems related to legal tech or AI products and outline your approach to solving them.
• Data Synthesis Example: Be ready to walk through how you would synthesize a complex dataset (qualitative and quantitative) into clear, actionable insights.
• Stakeholder Influence: Prepare examples of how you've successfully influenced product decisions through your research, even when facing resistance.

📝 Enhancement Note: The portfolio review is paramount for UX research roles. Candidates should view this as an opportunity to tell a compelling story about their research journey and its tangible impact. Demonstrating an understanding of the legal tech landscape and AI's role within it will be a significant advantage.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: SurveyMonkey, Qualtrics, or similar tools for designing, distributing, and analyzing surveys.
• User Research Platforms: Tools for remote usability testing, session recording, and user feedback collection (e.g., UserTesting.com, Lookback, Maze).
• Collaboration Tools: Microsoft Teams, Slack, Jira, Confluence for team communication, project management, and documentation.
• Prototyping/Design Tools (for collaboration): Figma, Sketch, Adobe XD (understanding how to work with these is key for design iteration).

Analytics & Reporting:

• Data Analysis Software: Excel, Google Sheets for data manipulation; potentially statistical software like SPSS, R, or Python for more advanced quantitative analysis.
• BI/Dashboard Tools: Tableau, Power BI, or similar for visualizing data and creating reports (beneficial for presenting quantitative findings).
• Web Analytics: Google Analytics or similar tools to understand user behavior on digital platforms.

CRM & Automation:

• CRM Systems: While not a primary tool for research, understanding how CRM data (e.g., Salesforce) informs user segmentation and research is valuable.
• AI Tools: Experience or familiarity with AI tools that can assist in research tasks, such as transcription services, sentiment analysis, or data synthesis tools.

📝 Enhancement Note: Proficiency with a range of survey and user testing platforms is essential. Given the company's focus on AI, familiarity with AI-assisted research tools or an understanding of how AI impacts user behavior will be highly advantageous. The ability to interpret data from various sources and present it effectively is critical.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring products are intuitive, effective, and valuable.
• Data-Driven Decision Making: Relying on rigorous research and data analysis to inform product strategy and design choices.
• Collaboration & Teamwork: Fostering a collaborative environment where diverse perspectives are valued and utilized to achieve common goals.
• Innovation & Continuous Improvement: Embracing new technologies (like AI) and methodologies to constantly enhance products and processes.
• Integrity & Ethics: Upholding high standards, particularly in research practices and the development of AI solutions, as evidenced by RELX's Responsible AI Principles.

Collaboration Style:

• Cross-Functional Partnership: Seamless integration with product management, design, and engineering teams, working together from research planning through to product launch and iteration.
• Open Communication: Encouraging open dialogue, constructive feedback, and knowledge sharing to collectively solve complex problems.
• Proactive Engagement: Actively seeking opportunities to contribute research insights and collaborate on strategic initiatives, rather than waiting for requests.

📝 Enhancement Note: The emphasis on Responsible AI Principles and the company's mission to "advance the rule of law" suggests a culture that values ethical considerations and societal impact alongside business objectives. This is a key differentiator for candidates who seek purpose-driven work.

⚡ Challenges & Growth Opportunities

Challenges:

• Researching Complex AI Products: Understanding and researching the nuances of AI-driven features, user trust, and ethical considerations in legal applications.
• Balancing Speed and Rigor: Delivering timely research insights within fast-paced agile development cycles without compromising research quality.
• Influencing Stakeholders: Effectively communicating research findings and advocating for user needs to diverse audiences, including senior leadership, who may have differing priorities.
• Participant Recruitment: Ensuring diverse and representative participant pools for research studies, especially for niche user segments within the legal profession.
• Synthesizing Diverse Data: Integrating insights from various qualitative and quantitative sources to form a cohesive and actionable understanding of user behavior.

Learning & Development Opportunities:

• Advanced AI Research Techniques: Opportunities to learn and apply cutting-edge research methods for AI products.
• Industry Conferences & Certifications: Support for attending relevant UX and AI conferences, and pursuing professional certifications.
• Mentorship Programs: Access to experienced researchers and product leaders for guidance and career development.
• Cross-Disciplinary Learning: Opportunities to learn from data scientists, product managers, and legal domain experts within the organization.
• Leadership Training: Development programs for those aspiring to lead research teams or manage complex projects.

📝 Enhancement Note: The challenges presented are typical for mid-level UX roles in innovative tech companies. The growth opportunities are strong, given LexisNexis's commitment to technology and professional development, especially within the AI space.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to influence a product decision with your research. What was the outcome?" (Focus on your process, data, communication, and impact.)
• "How would you approach researching a new AI feature for legal professionals? What ethical considerations would you prioritize?" (Demonstrate understanding of AI, user trust, and the legal context.)
• "Walk me through a research project where you synthesized both qualitative and quantitative data. What were the key challenges and insights?" (Highlight your analytical rigor and ability to connect different data types.)
• "How do you prioritize research findings when multiple stakeholders have competing interests?" (Showcase your strategic thinking and ability to manage expectations.)

Company & Culture Questions:

• "What interests you about researching products for the legal industry and how does that align with LexisNexis's mission?" (Research the company's role in advancing the rule of law and their AI strategy.)
• "How do you ensure your research is inclusive and representative of diverse user groups?" (Discuss your approach to participant recruitment and bias mitigation.)
• "Tell us about a time you collaborated effectively with a cross-functional team. What was your role?" (Emphasize teamwork and communication skills.)

Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative with a clear beginning (problem), middle (process/challenges), and end (solution/impact).
• Focus on Impact: Quantify the impact of your research whenever possible (e.g., improved conversion rates, reduced task completion time, increased user satisfaction scores).
• Methodological Justification: Be prepared to explain why you chose specific research methods for each project.
• AI/JTBD Integration: Clearly articulate how your research addressed user needs (JTBD) and/or explored the usability and effectiveness of AI features.
• Conciseness: Respect time limits and focus on the most impactful aspects of each project.

📝 Enhancement Note: Interview preparation should focus on demonstrating not only research expertise but also strategic thinking, collaboration skills, and an understanding of the company's specific domain (legal tech) and technological focus (AI). A well-prepared portfolio presentation is key to success.

📌 Application Steps

To apply for this UX Researcher II position:

• Submit your application through the provided Workday link: https://relx.wd3.myworkdayjobs.com/LexisNexisLegal/job/Raleigh-NC/UX-Researcher-II_R102652
• Tailor Your Resume: Highlight experience with user research methods, AI product research, the Jobs to Be Done framework, and independent project leadership. Use keywords from the job description.
• Prepare Your Portfolio: Select 3-4 impactful research projects. Structure them as case studies with clear problem statements, methodologies, findings, recommendations, and demonstrable impact. Ensure AI research experience is prominently featured if applicable.
• Research LexisNexis and RELX: Understand their mission, their role in legal tech, their commitment to AI and Responsible AI, and their overall business strategy.
• Practice Your Presentation: Rehearse presenting your portfolio case studies, focusing on clarity, conciseness, impact, and your ability to articulate your research process and strategic thinking.

⚠️ 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.