UX Researcher, Quantitative Analysis

📍 Job Overview

Job Title: UX Researcher, Quantitative Analysis

Company: Roku

Location: Austin, Texas, United States

Job Type: Full-time

Category: User Experience Research / Data Analytics

Date Posted: March 18, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid (4 days in office, 1 day flexible remote)

🚀 Role Summary

• This role focuses on leveraging quantitative research methodologies to enhance user experience and inform product development decisions at Roku, a leading TV streaming platform.

• The position is central to understanding customer sentiment, particularly in the context of A/B testing and experimental designs, ensuring a balanced customer experience alongside product monetization strategies.

• A key aspect involves deep collaboration with cross-functional teams including Product Management, Data Analytics, Engineering, Design, and fellow UX Researchers to integrate sentiment data with behavioral insights.

• The role offers the opportunity to optimize and automate research processes, driving efficiency and scalability for the sentiment survey program, and contributing to products used by millions globally.

📝 Enhancement Note: This role is positioned within the User Experience (UX) domain, with a strong emphasis on quantitative analysis and research. The "UX Researcher, Quantitative Analysis" title, coupled with responsibilities like A/B test collaboration and sentiment surveys, clearly places this within the broader GTM (Go-To-Market) operations, specifically supporting product development and user-centric decision-making. The integration of sentiment data with behavioral data is a critical operations function, bridging user insights with product performance metrics.

📈 Primary Responsibilities

• Develop, plan, and execute quantitative research initiatives, with a primary focus on understanding factors impacting product and feature sentiment, especially in conjunction with experimental A/B tests.

• Actively collaborate on the design and implementation of experimental A/B tests, providing research input to ensure robust and meaningful outcomes.

• Partner closely with Product Managers, Data Analysts, Engineers, and Designers to identify key business goals and user problems that research findings will address.

• Collect and analyze user sentiment data through surveys, and synthesize these findings with behavioral data from A/B tests and other sources to inform critical product decisions.

• Present research insights and recommendations effectively to diverse stakeholder audiences, utilizing both written reports and live presentations.

• Articulate the strengths and weaknesses of various experimental designs, research approaches, and study findings with confidence to technical and non-technical audiences.

• Optimize and automate repetitive research processes to enhance efficiency and scale the customer sentiment survey program across Roku's product offerings.

• Conduct additional quantitative research, potentially including ongoing tracker surveys, to deepen understanding of customer needs, pain points, and overall experience.

• Collaborate with a global team of UX researchers and the Director of UX Research, fostering knowledge sharing and best practices across the discipline.

📝 Enhancement Note: The responsibilities emphasize a hands-on approach to research design, execution, and analysis, with a strong focus on quantitative methods. The expectation to "optimize and automate repetitive research processes" and "leverage AI to streamline research processes" indicates a need for operational efficiency and forward-thinking research practices, common in mature operations teams. The integration of sentiment with behavioral data is a key GTM operations function, bridging user perception with product performance.

🎓 Skills & Qualifications

Education:

Experience:

Required Skills:

• Proven skills in survey design, quantitative analysis, and experimental designs (e.g., A/B testing).

• Ability to effectively collaborate with cross-functional teams, including Data Analysts and fellow UX Researchers, to integrate data into comprehensive reporting and recommendations.

• Confidence to make data-driven recommendations and provide feedback on experiments designed by others.

• Strong communication, presentation, interpersonal, and analytical skills, with the ability to articulate complex findings clearly.

• Persuasive presentation skills, capable of reporting on both qualitative (where applicable) and quantitative data.

• Strong project management skills with the ability to define, plan, and execute research projects across a wide range of product areas independently.

• Ability to support timely communication and connection across multiple time zones, crucial for a global organization.

• Aptitude for leveraging AI tools and techniques to streamline research processes and deliverables.

Preferred Skills:

• Experience with more advanced survey and analysis techniques, such as MaxDiff, Conjoint analysis, or similar statistical modeling.

• Experience with qualitative UX research methods, enabling versatility and support on other project types as needed.

📝 Enhancement Note: The requirements highlight a blend of technical research skills and soft skills essential for operations and cross-functional collaboration. The emphasis on AI utilization points to a need for candidates who can drive efficiency and innovation in research operations. The minimum experience of 2-3 years suggests a mid-level role with expectations of independent contribution and project ownership.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of at least 2-3 quantitative research projects, demonstrating expertise in survey design, experimental design (e.g., A/B testing), and rigorous data analysis.

• For each project, clearly outline the research objectives, methodology employed, key findings, and the impact of the research on product decisions or business outcomes.

• Evidence of ability to synthesize quantitative insights with qualitative data (if applicable) or behavioral analytics to provide a holistic understanding.

• Examples of how research findings were translated into actionable recommendations for product teams or stakeholders.

Process Documentation:

• Ability to document research plans, methodologies, and findings in a clear, structured, and reproducible manner.

• Experience in creating standardized templates for survey deployment, data analysis, and reporting to ensure consistency and efficiency.

• Demonstrated understanding of how to integrate research findings into existing product development workflows and decision-making processes.

📝 Enhancement Note: For a quantitative UX Research role, the portfolio is critical for demonstrating practical application of research skills and operational efficiency. The emphasis should be on tangible results and the ability to translate data into actionable business insights, mirroring the output expected from operations functions. The inclusion of process optimization showcases an operational mindset.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Global Access: Mental Health Support, Financial Wellness Support and Resources.

• Local Benefits (Austin, TX):

  • Healthcare (Medical, Dental, and Vision)
  • Life Insurance
  • Accident Insurance
  • Disability Insurance
  • Commuter Benefits
  • Retirement Options (e.g., 401(k) with company match)

• Time Off: Vacation and personal time off to support work-life balance.

• Professional Development: Opportunities for learning and growth within the UX research and data analytics fields.

Working Hours:

• Standard full-time hours are approximately 40 hours per week.

• The hybrid work arrangement includes 4 days in the office (Monday-Thursday) and 1 flexible remote day (Friday), with flexibility noted for roles requiring more in-office presence.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for similar roles in Austin, TX, considering experience level and industry standards. Roku's provided benefits list is comprehensive and aligns with competitive offerings for tech roles. The hybrid work model is clearly defined.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Streaming Media Platform, Consumer Electronics, Advertising Technology)

Company Size: Large (Roku is a public company with thousands of employees globally, indicated by its significant employee base).

Founded: 2002. Roku has a history of innovation, pioneering the streaming TV platform and growing into a market leader. This history suggests a culture that values forward-thinking, adaptability, and a pragmatic approach to innovation.

Team Structure:

• The UX Research team is part of a larger product development organization.

• It includes a Director of UX Research and collaborates with multiple cross-functional teams.

• The structure supports collaboration with Product Management, Data Analytics, Engineering, and Design, indicating a matrixed environment where researchers contribute to various product initiatives.

Methodology:

• Data-Driven Decision Making: A core tenet, evidenced by the focus on quantitative analysis, A/B testing, and integrating sentiment with behavioral data.

• Customer-Centricity: The team's mission is to include customers in the development process from discovery to post-launch, ensuring a well-balanced user experience.

• Process Optimization: An emphasis on optimizing and automating repetitive research processes to drive efficiency and scale.

• Pragmatic Innovation: A culture that values delivering solutions to customers, reflecting a results-oriented and action-oriented approach.

Company Website: https://www.weareroku.com/factsheet

📝 Enhancement Note: Roku's culture is described as fast-paced, focused on company success, and valuing talented individuals who are easy to work with and keep egos in check. The "problem-solver" mentality and "penchant for action" are key cultural indicators for operations-minded individuals. The industry context of streaming and advertising technology means research insights directly impact user engagement and revenue streams.

📈 Career & Growth Analysis

Operations Career Level: Mid-Level UX Researcher. This role requires independent execution of research projects, collaboration with senior stakeholders, and the ability to influence product decisions. It sits between entry-level roles and senior/lead positions.

Reporting Structure: The role reports to the Director of UX Research and collaborates closely with Product Managers, Data Analysts, Engineering, and Design teams. This structure allows for exposure to strategic product roadmaps and direct impact on product development cycles.

Operations Impact: The research conducted directly influences product strategy, feature development, and user experience optimization. By quantifying customer sentiment and its correlation with product changes, this role provides critical data that impacts user adoption, retention, and ultimately, Roku's market position and revenue generation. Insights from this role are integral to optimizing the user journey and monetization strategies.

Growth Opportunities:

• Specialization: Deepen expertise in quantitative research methods, advanced statistical analysis, and survey design for large-scale consumer products.

• Cross-functional Leadership: Develop stronger collaboration and influencing skills to lead research initiatives across multiple product domains and stakeholder groups.

• Process Improvement: Take on projects to further optimize and automate research operations, potentially leading to roles focused on research operations or analytics infrastructure.

• Mentorship: As experience grows, mentor junior researchers and contribute to the overall strategic direction of the UX research practice at Roku.

• Broader Impact: Transition to roles with broader scope, potentially overseeing research for entire product lines or contributing to strategic planning at a higher level.

📝 Enhancement Note: The growth path for this role involves deepening quantitative research expertise and expanding its operational impact. The ability to influence product decisions and optimize research processes are key indicators for future leadership opportunities within UX research or related operational functions.

🌐 Work Environment

Office Type: Roku operates with a hybrid work model, requiring 4 days per week in the office (Monday-Thursday) and offering 1 flexible remote day (Friday). This indicates an environment that values in-person collaboration, team cohesion, and spontaneous idea exchange, while also recognizing the need for focused work time and flexibility.

Office Location(s): Austin, Texas. This location is a hub for technology and innovation, suggesting a dynamic and collaborative workspace.

Workspace Context:

• Collaborative Hub: The office environment is designed to foster team interaction, cross-functional discussions, and brainstorming sessions, essential for a role that bridges UX, Product, and Data.

• Technology-Rich: As a leading tech company, expect access to modern tools, software, and hardware necessary for cutting-edge UX research and data analysis.

• Team Integration: Opportunities to work closely with product managers, data analysts, designers, and engineers, facilitating a holistic understanding of product development.

Work Schedule: The hybrid model (4 days in office) aims to balance structured collaboration with individual focus time. The typical 40-hour work week allows for dedicated time for research design, data analysis, and reporting, with flexibility to manage personal and professional commitments.

📝 Enhancement Note: The hybrid work model is a key feature, suggesting a culture that balances in-person collaboration with individual productivity. The Austin location places the role within a vibrant tech ecosystem. The emphasis on collaboration is crucial for a role that interfaces with many departments.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and resume, assessing alignment with the core requirements, particularly quantitative research experience and A/B testing knowledge.

• Hiring Manager Interview: Typically with the Director of UX Research or a Senior UX Researcher, focusing on your background, motivations, and initial fit for the role.

• Portfolio Review & Presentation: A critical stage where you will present selected quantitative research projects. Be prepared to walk through your process, methodologies, findings, and the impact of your work. This is where you demonstrate your operational thinking and ability to translate data into actionable insights.

• Cross-functional Interviews: Interviews with key stakeholders such as Product Managers, Data Analysts, or Design Leads. These sessions evaluate your collaboration skills, understanding of product development, and ability to communicate research effectively to diverse audiences.

• Skills-Based Exercise (Potential): You might be asked to complete a short exercise or case study related to survey design, data interpretation, or experimental design recommendations.

• Final Interview: May involve a broader discussion on team fit, career aspirations, and cultural alignment.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your quantitative research skills, particularly those involving A/B testing, survey design, and data analysis. Highlight projects with clear impact on product decisions or business outcomes.

• Structure for Clarity: For each project, clearly articulate the problem, your role, the methodology (why you chose it), the key findings, and the resulting actions or impact. Use visuals where appropriate.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your research and the positive outcomes it drove (e.g., "increased user engagement by X%", "reduced churn by Y%").

• Showcase Process Optimization: If you have examples of automating or streamlining research processes, be sure to highlight them, as this demonstrates operational efficiency.

• Be Prepared to Discuss: Anticipate questions about your methodology choices, challenges faced, how you synthesized data, and how you would approach similar problems in the future.

Challenge Preparation:

• Understand Roku's Products: Familiarize yourself with Roku's streaming devices, platform, and services.

• Review A/B Testing Concepts: Brush up on experimental design principles, statistical significance, and common pitfalls in A/B testing.

• Practice Data Interpretation: Be ready to interpret sample data sets or scenarios and make recommendations.

• Articulate Recommendations: Practice framing your insights into clear, concise, and actionable recommendations for product stakeholders.

📝 Enhancement Note: The interview process emphasizes practical demonstration of skills through a portfolio review. Candidates are expected to not only present research findings but also the operational process behind them, including efficiency gains and stakeholder collaboration.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Experience with enterprise-grade survey tools (e.g., Qualtrics, SurveyMonkey Enterprise, Alchemer/SurveyGizmo) for designing, deploying, and managing complex surveys.

• Statistical Software/Libraries: Proficiency in tools for quantitative analysis such as R, Python (with libraries like Pandas, NumPy, SciPy), SPSS, or SAS.

• Experimentation Platforms: Familiarity with A/B testing frameworks and platforms (e.g., Optimizely, VWO, or internal experimentation tools).

Analytics & Reporting:

• Data Visualization Tools: Experience with tools like Tableau, Power BI, Looker, or similar platforms to create dashboards and reports that effectively communicate research findings.

• Behavioral Analytics Tools: Exposure to platforms that track user behavior (e.g., Google Analytics, Mixpanel, Amplitude, or internal equivalents) for synthesizing with sentiment data.

CRM & Automation:

• AI & Machine Learning Tools: Ability to leverage AI tools for streamlining research processes, data analysis, or insight generation (as mentioned in requirements).

• Collaboration & Project Management Tools: Proficiency with tools like Jira, Asana, Trello, Confluence, or similar for managing research projects and collaborating with teams.

📝 Enhancement Note: The technology stack is critical for this role, emphasizing tools used for data collection, analysis, and reporting. Proficiency in survey platforms, statistical analysis software, and experimentation tools is paramount. The mention of AI highlights a need for candidates who can adapt to and utilize emerging technologies in research operations.

👥 Team Culture & Values

Operations Values:

• Data-Driven Rigor: A commitment to using robust quantitative methods and data analysis to inform decisions, ensuring accuracy and reliability in research findings.

• User Advocacy: A deep-seated dedication to understanding and representing the user's perspective, ensuring that product development is aligned with customer needs and expectations.

• Efficiency & Scalability: A proactive approach to optimizing research processes, automating repetitive tasks, and finding ways to scale research efforts to meet the demands of a large-scale platform.

• Collaboration & Transparency: A belief in working closely with cross-functional partners, sharing insights openly, and fostering a transparent environment where research informs collective decision-making.

• Action-Oriented Impact: A focus on delivering actionable insights that lead to tangible improvements in product design, user experience, and business outcomes.

Collaboration Style:

• Partnership-Focused: Works closely with Product Management, Data Analytics, Engineering, and Design to integrate research into the product development lifecycle.

• Insight-Sharing: Actively disseminates findings through clear reports and presentations, ensuring stakeholders understand the implications of the research.

• Feedback Loop: Engages in constructive dialogue about experimental designs and research findings, contributing to a culture of continuous learning and improvement.

• Cross-Time Zone Communication: Employs effective communication strategies to ensure seamless collaboration across global teams.

📝 Enhancement Note: The values emphasize a blend of analytical excellence, user empathy, and operational efficiency. The collaborative style is key to integrating research insights into the broader GTM strategy and product development pipeline.

⚡ Challenges & Growth Opportunities

Challenges:

• Synthesizing Diverse Data: Integrating quantitative sentiment data with complex behavioral analytics and experimental results to form a coherent and actionable narrative can be challenging.

• Balancing Speed and Rigor: In a fast-paced tech environment, ensuring research rigor while meeting tight product development timelines requires strong project management and prioritization skills.

• Influencing Stakeholders: Effectively communicating complex quantitative findings and persuading diverse stakeholders to act on research recommendations requires strong influencing and storytelling abilities.

• Scaling Research Operations: Continuously optimizing and automating survey processes to keep pace with product iteration and growth requires innovative problem-solving and technical acumen.

Learning & Development Opportunities:

• Advanced Methodologies: Opportunities to learn and apply more sophisticated quantitative analysis techniques (e.g., MaxDiff, Conjoint) and potentially qualitative methods.

• Product Domain Expertise: Gain deep understanding of Roku's product ecosystem, user base, and business model, enabling more strategic research contributions.

• Cross-Functional Influence: Develop leadership skills in influencing product roadmaps and strategic decisions through impactful research.

• AI in Research: Explore and implement AI-driven tools for research automation, analysis, and insight generation, staying at the forefront of research technology.

• Industry Exposure: Potential to attend industry conferences and engage with the broader UX research community.

📝 Enhancement Note: The challenges highlight the need for adaptability, strong analytical skills, and excellent communication. The growth opportunities are geared towards deepening expertise in research operations and increasing strategic impact within the organization.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed and executed a quantitative research study to understand user sentiment related to a product change or A/B test. What was your process, what did you find, and what was the impact?" (Focus on methodology, data synthesis, and actionable outcomes.)

• "How do you approach collaborating with Product Managers and Data Analysts to ensure your research effectively addresses their needs and integrates with their data?" (Highlight your cross-functional communication and data integration strategies.)

Company & Culture Questions:

• "What excites you about Roku's mission and its position in the streaming TV market? How do you see quantitative UX research contributing to that mission?" (Showcase your research into Roku and your understanding of its business context.)

• "Describe your experience working in a hybrid environment and collaborating with teams across different time zones. What strategies do you employ to ensure effective communication and productivity?" (Address the work environment and collaboration requirements.)

Portfolio Presentation Strategy:

• The "STAR" Method for Case Studies: For each project, structure your presentation using Situation, Task, Action, Result. Clearly define the context, your specific responsibilities, the steps you took (methodology, analysis), and the measurable outcomes.

• Focus on the "Why" and "So What": Beyond presenting data, explain why you chose your methods and what the implications of your findings are for Roku's business and users.

• Visualize Data Effectively: Use clear, concise charts and graphs to illustrate your findings. Avoid overwhelming slides with too much text.

• Highlight Operational Efficiency: If applicable, discuss how you optimized processes, automated tasks, or improved efficiency in your research workflow.

• Be Ready for Deep Dives: Anticipate questions about specific statistical methods, survey design choices, or challenges encountered.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical application of quantitative research skills, operational thinking (efficiency, scalability), and strong cross-functional collaboration abilities. The portfolio presentation is key to showcasing these competencies.

📌 Application Steps

To apply for this operations-adjacent UX Researcher position:

• Submit your application through the provided application link on the Roku careers page.

• Portfolio Customization: Tailor your resume and cover letter to highlight your most relevant quantitative research experience, specifically mentioning survey design, A/B testing, and data analysis skills. Prepare your portfolio with 2-3 strong examples that clearly demonstrate impact and operational efficiency.

• Resume Optimization: Ensure your resume uses keywords from the job description (e.g., "quantitative analysis," "survey design," "experimental design," "A/B testing," "sentiment analysis," "stakeholder presentation," "process optimization"). Quantify achievements whenever possible.

• Interview Preparation: Practice articulating your research process, findings, and impact using the STAR method. Prepare to discuss how you would approach specific challenges related to user sentiment and product experimentation at Roku.

• Company Research: Thoroughly research Roku's products, mission, and recent news. Understand their business model and how user experience research contributes to their success in the streaming industry. Familiarize yourself with their hybrid work culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, especially regarding salary and specific interview expectations, should be verified directly with the hiring organization or recruiter before making application decisions.