UX Researcher

📍 Job Overview

Job Title: UX Researcher Company: Defined.ai Location: Remote (United States) Job Type: Full-time Category: User Experience Research / Operations Date Posted: 2026-01-20 Experience Level: Mid-level (2-5 years) Remote Status: Fully Remote

🚀 Role Summary

• This role is a specialized position within the broader operations framework, focusing on the crucial function of User Experience (UX) Research to drive product development and user satisfaction.
• The UX Researcher will be instrumental in designing, administering, and managing research studies, with a significant emphasis on leveraging Qualtrics software for data collection and analysis.
• This position requires a strong aptitude for quantitative data analysis, translating complex survey findings into actionable insights that inform strategic decisions and product roadmaps.
• The role necessitates effective cross-functional collaboration, working closely with product, design, and engineering teams to align research objectives with business goals and user needs.

📝 Enhancement Note: While the title is "UX Researcher," the core responsibilities and emphasis on Qualtrics, data analysis, and managing workflows indicate a strong operational component. This role bridges qualitative UX research with quantitative operational execution, making it valuable for candidates with a blend of research acumen and process management skills. The focus on "building structured studies" and "managing workflows" suggests an operations-centric approach to research.

📈 Primary Responsibilities

• Design, build, and manage UX research studies, with a primary focus on questionnaire-based methodologies and structured data collection.
• Administer and meticulously manage data collection processes, ensuring the integrity, quality, and timely completion of research studies.
• Perform basic to intermediate statistical analysis of research results to identify trends, patterns, and significant findings.
• Interpret quantitative data and survey results to generate clear, concise, and actionable insights for product and business stakeholders.
• Collaborate effectively with cross-functional teams, including product managers, designers, and engineers, to define research goals, refine study designs, and disseminate findings.
• Monitor study quality and identify potential issues or biases in data collection, implementing corrective measures as needed.
• Contribute to the development and optimization of research workflows and best practices within the team.

📝 Enhancement Note: The responsibilities highlight a blend of research design and operational execution. The emphasis on "managing data collection processes," "performing statistical analysis," and "managing workflows" points to an operational focus that goes beyond typical qualitative UX research roles, requiring strong project management and data handling skills.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Psychology, Sociology, Human-Computer Interaction, Statistics, Market Research, or a related field is typically preferred for roles involving behavioral and quantitative research. Equivalent practical experience will also be considered.

Experience:

• 2-5 years of demonstrated experience in UX research, behavioral research, market research, or a closely related field.
• Proven experience in designing, conducting, and analyzing quantitative research studies, particularly survey-based research.
• Experience managing research projects from inception to completion, including planning, execution, and reporting phases.

Required Skills:

• Native or near-native proficiency in English, both written and verbal, essential for clear communication and documentation.
• Strong background in UX research or behavioral research methodologies, with a solid understanding of research design principles.
• Comfort with basic to intermediate statistical analysis and the ability to interpret quantitative data effectively.
• Exceptional attention to detail, critical for ensuring the accuracy and quality of research studies and data analysis.
• Proven ability to manage multiple studies simultaneously, prioritizing tasks and meeting deadlines in a fast-paced environment.
• Proficiency in Qualtrics or similar advanced survey and research platforms for study design and administration.

Preferred Skills:

• Experience with other data analysis tools (e.g., SPSS, R, Python for statistical analysis).
• Familiarity with qualitative research methods to complement quantitative findings.
• Experience in data visualization tools for presenting research findings.
• Understanding of product development lifecycles and agile methodologies.

📝 Enhancement Note: The required skills emphasize a combination of research expertise and operational capabilities. Proficiency in Qualtrics is a key differentiator, as is the ability to perform statistical analysis and manage multiple concurrent studies, aligning with operations efficiency metrics.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating end-to-end UX research projects, with a strong emphasis on quantitative, questionnaire-based studies.
• For each case study, clearly outline the research objectives, your specific role, the methodologies employed (especially Qualtrics usage), the data analysis performed, and the actionable insights generated.
• Quantify the impact of your research, where possible, by highlighting how your insights influenced product decisions, improved user experience metrics, or contributed to business goals.
• Include examples of research design documentation, survey instruments, and data analysis outputs (e.g., charts, tables, statistical summaries).

Process Documentation:

• Provide examples of how you have documented research processes, workflows, or best practices to ensure consistency and scalability.
• Demonstrate an understanding of how to build and manage structured research workflows within platforms like Qualtrics.
• Show evidence of how you have analyzed research data to identify process inefficiencies or areas for improvement in user journeys or product interactions.

📝 Enhancement Note: For this role, a portfolio is crucial. It should highlight not just research findings but also the operational rigor applied to research design, data collection management, and analytical processes. Demonstrating the ability to create structured, repeatable research operations is key.

💵 Compensation & Benefits

Salary Range:

• Based on the U.S. location requirement, mid-level UX Researcher roles with 2-5 years of experience and specialized skills in Qualtrics and quantitative analysis typically fall within the range of $75,000 to $105,000 annually. This estimate considers the "full-time (40 hours/week)" specification and the "Remote (within U.S.)" designation. The exact compensation will depend on the candidate's specific experience, skill set, and the prevailing market rates within the United States.

Benefits:

• Comprehensive health, dental, and vision insurance plans.
• Paid time off (PTO), including vacation, sick leave, and holidays.
• Retirement savings plan (e.g., 401(k)) with potential company match.
• Professional development opportunities, including training, certifications, and conference attendance.
• Potential for a 12-month contract extension based on project performance and company needs.
• Home office stipend or equipment allowance for remote work setup.

Working Hours:

• Full-time, approximately 40 hours per week.
• Flexible working hours are often available for remote positions, allowing for asynchronous work where possible, but requiring availability for key meetings and time-sensitive data collection periods.

📝 Enhancement Note: The salary range is an estimate based on industry benchmarks for mid-level UX Researchers in the US, considering the remote work arrangement and the specific skill set. Benefits are standard for full-time roles and include aspects relevant to remote work and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Defined.ai operates within the technology sector, specifically focusing on AI and data solutions. This context suggests a fast-paced, innovative environment that values data-driven decision-making and technological advancement. Company Size: While not explicitly stated, the presence of a dedicated application portal and a global remote workforce suggests a growing company, likely in the startup or scale-up phase, with a distributed team structure. This implies a dynamic culture where individual contributions can have a significant impact. Founded: Defined.ai was founded in 2015. This history indicates a company with established roots and experience in the AI data market, likely possessing a mature understanding of its operational needs and strategic direction.

Team Structure:

• The UX Researcher will likely be part of a Product or Engineering team, working closely with UX Designers, Product Managers, Data Scientists, and Software Engineers.
• Reporting structure will likely be to a UX Lead, Research Manager, or a Product Lead, depending on the specific team organization.
• Cross-functional collaboration will be a daily occurrence, requiring strong communication and relationship-building skills to navigate different departmental priorities and technical discussions.

Methodology:

• The company's focus on AI and data suggests a strong emphasis on data-driven approaches to all aspects of its operations, including product development and user understanding.
• Research methodologies will likely be pragmatic and focused on generating actionable insights that can be quickly translated into product improvements or strategic adjustments.
• Expect a culture that values efficiency, innovation, and continuous learning, especially within the rapidly evolving AI landscape.

Company Website: https://www.defined.ai/

📝 Enhancement Note: The company's focus on AI and data implies a culture that is highly analytical and data-centric. The UX Researcher role is positioned to directly contribute to the company's ability to understand and serve its users effectively within this technological domain.

📈 Career & Growth Analysis

Operations Career Level: This role represents a mid-level position (2-5 years of experience) in UX Research, with a strong operational component. It bridges the gap between pure research and applied operational execution, offering a unique growth path for individuals seeking to deepen their impact on product strategy through data-driven insights and process management. Reporting Structure: The UX Researcher will likely report to a Research Manager or a Product Lead. This position will involve significant collaboration with various cross-functional teams, including Product Management, Design, Engineering, and potentially Marketing or Data Science teams, fostering broad exposure to different operational facets of the business. Operations Impact: The UX Researcher's work will directly influence product strategy, user adoption rates, and customer satisfaction. By providing data-backed insights, the role contributes to optimizing user journeys, identifying pain points, and ensuring that product development is aligned with user needs, thereby driving business growth and operational efficiency.

Growth Opportunities:

• Specialization: Deepen expertise in quantitative UX research, advanced statistical analysis, and specific research platforms like Qualtrics.
• Cross-functional Leadership: Lead research initiatives for key product areas, influencing roadmap decisions and collaborating with senior stakeholders.
• Mentorship: Potentially mentor junior researchers or contribute to building the company's research operations framework.
• Broader Operations: Transition into roles focusing on product operations, data operations, or program management, leveraging a strong understanding of user data and operational processes.

📝 Enhancement Note: This role offers a solid foundation for a career in specialized research operations. The emphasis on data analysis and process management provides a pathway to more strategic operational roles within tech companies.

🌐 Work Environment

Office Type: This is a fully remote position, meaning there is no physical office requirement. The work environment is decentralized, with team members collaborating from various locations within the United States. Office Location(s): Remote within the United States. This provides flexibility in terms of geographical location for the employee, while adhering to company policies for US-based operations.

Workspace Context:

• Collaborative Environment: While remote, the role requires active participation in virtual team meetings, brainstorming sessions, and collaborative document editing. Tools like Slack, Zoom, and shared document platforms will be essential.
• Tools & Technology: Access to necessary research software (Qualtrics), collaboration tools, and potentially a home office stipend to ensure an effective and productive remote workspace.
• Operations Team Interaction: Regular interaction with other operational teams (e.g., Product Ops, Data Ops) will be crucial for aligning research insights with broader business objectives and ensuring smooth data flow.

Work Schedule:

• Full-time (40 hours/week) with potential for flexible scheduling. While core hours for team syncs will be necessary, much of the independent work, such as study design and data analysis, can be managed flexibly by the individual.

📝 Enhancement Note: The fully remote nature of the role necessitates strong self-discipline and proactive communication. The workspace will be a home office, requiring individuals to be comfortable with virtual collaboration and digital tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct a brief screening call to assess basic qualifications, experience, and cultural fit.
• Technical Interview: This will likely involve a deep dive into your UX research experience, methodologies, and your ability to use tools like Qualtrics. Expect questions about your approach to research design, data analysis, and statistical interpretation.
• Portfolio Review: You will be asked to present 1-2 detailed case studies from your portfolio. Focus on clearly articulating the problem, your process, the data you analyzed, your insights, and the impact of your work. Be prepared to discuss your specific contributions and the operational aspects of your research.
• Cross-functional Interview: You may meet with team members from product, design, or engineering to assess your collaboration skills and how you integrate research findings into product development workflows.
• Final Interview: Potentially with a senior leader to discuss strategic alignment, career aspirations, and finalize any offer details.

Portfolio Review Tips:

• Quantify Impact: For each case study, explicitly state the business impact or user experience improvements resulting from your research. Use metrics where possible.
• Highlight Qualtrics Expertise: Specifically detail how you used Qualtrics for study design, advanced survey logic, data collection management, and initial analysis.
• Structure Your Narrative: Use a clear story arc for each case study: Problem -> Approach -> Execution -> Findings -> Impact.
• Showcase Operational Rigor: Emphasize your ability to manage complex studies, ensure data quality, and deliver actionable insights efficiently.
• Be Prepared for Data Deep Dives: Have raw data or detailed summaries ready to discuss if asked to elaborate on your analysis.

Challenge Preparation:

• Be prepared for a potential take-home assignment or a live exercise focusing on designing a survey, analyzing a dataset, or interpreting research findings.
• Practice articulating your thought process clearly and concisely, especially when explaining complex data or research methodologies.
• Think about how you would operationalize a research project within a remote, agile team environment.

📝 Enhancement Note: The interview process will likely assess both research acumen and operational execution capabilities. A strong portfolio that emphasizes structured research processes and quantifiable results will be key to success.

🛠 Tools & Technology Stack

Primary Tools:

• Qualtrics: This is explicitly mentioned as a core requirement. Proficiency in designing, building, administering, and analyzing studies within Qualtrics is essential. This includes understanding survey logic, branching, quotas, and data export capabilities.
• Collaboration Platforms: Slack for real-time communication, Zoom or similar for video conferencing and virtual meetings.
• Document & Project Management: Google Workspace (Docs, Sheets, Slides) or Microsoft Office Suite for documentation, data analysis, and presentations. Tools like Asana, Trello, or Jira might be used for project tracking.

Analytics & Reporting:

• Statistical Analysis Software: Familiarity with basic statistical concepts is required. While Qualtrics has built-in analysis tools, experience with additional statistical packages like SPSS, R, or Python for more advanced analysis would be a plus.
• Data Visualization Tools: Experience with tools like Tableau, Power BI, or even advanced Excel features for creating clear and impactful charts and graphs to present findings.

CRM & Automation:

• While not directly a CRM role, understanding how user feedback and research data integrate with CRM systems or customer data platforms might be beneficial for understanding the broader business context.

📝 Enhancement Note: Deep expertise in Qualtrics is critical. Candidates should be prepared to discuss their experience with the platform in detail, including advanced features and data management aspects.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value, where research insights are used to inform product strategy and business decisions.
• User-Centricity: A commitment to understanding and advocating for the user's needs and experience.
• Efficiency & Scalability: Emphasis on building repeatable processes and leveraging tools to conduct research effectively and at scale.
• Collaboration & Transparency: Open communication and teamwork across departments to ensure research findings are integrated and understood.
• Continuous Improvement: A drive to constantly refine research methodologies, tools, and processes to enhance impact.

Collaboration Style:

• Proactive Communication: Regular updates and engagement with stakeholders to ensure alignment and manage expectations.
• Cross-functional Partnership: Working as a partner with product, design, and engineering teams, rather than in isolation.
• Feedback Integration: Openness to receiving and providing constructive feedback on research designs, insights, and methodologies.
• Knowledge Sharing: Willingness to share research findings, methodologies, and best practices broadly within the organization.

📝 Enhancement Note: The company culture likely values a blend of analytical rigor, user empathy, and operational efficiency, typical of successful tech organizations focused on data and AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Remote Collaboration: Effectively building rapport and collaborating with distributed teams requires strong communication skills and proactive engagement.
• Data Overload: Managing and analyzing large volumes of quantitative data from surveys can be complex and requires robust analytical skills.
• Translating Data to Insights: The challenge of moving beyond raw data to clear, actionable recommendations that drive product decisions.
• Balancing Speed and Rigor: In a fast-paced tech environment, researchers must balance the need for quick insights with the methodological rigor required for valid findings.

Learning & Development Opportunities:

• Advanced Qualtrics Training: Opportunities to become a power user of Qualtrics, exploring advanced features for complex research designs and automation.
• Statistical Skill Enhancement: Potential to deepen statistical analysis knowledge through internal resources or external courses.
• Product Strategy Involvement: Gaining deeper exposure to product strategy and roadmap planning by closely partnering with product teams.
• Cross-functional Exposure: Learning about different operational functions within the company through collaboration with diverse teams.

📝 Enhancement Note: This role offers significant opportunities to hone quantitative research skills and gain exposure to product operations within a growing AI company.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex UX research study you designed and managed using Qualtrics. What were the key challenges, how did you overcome them, and what were the resulting insights?" (Focus on process, problem-solving, and impact)
• "How do you approach ensuring data quality and minimizing bias in quantitative survey research?" (Focus on operational rigor and methodology)
• "Imagine you have conflicting data from different research sources. How would you reconcile these findings and present a cohesive recommendation?" (Focus on analytical skills and decision-making)

Company & Culture Questions:

• "What interests you about Defined.ai and our work in the AI data space?" (Demonstrate research into the company's mission and products)
• "How do you typically collaborate with product managers and designers? Can you give an example of a successful collaboration?" (Highlight teamwork and integration with product development)
• "How do you measure the impact of your UX research efforts?" (Focus on ROI and business value)

Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business problem or user need that drove the research.
• Detail Your 'How': Explain your research design, methodology (especially Qualtrics features used), and data analysis approach concisely.
• Showcase Key Findings: Present the most impactful insights visually and verbally.
• Emphasize the 'So What': Clearly state the actionable recommendations and the resulting impact or outcomes.
• Be Ready for Deep Dives: Anticipate questions about specific data points, analytical choices, or alternative approaches.

📝 Enhancement Note: Prepare to articulate your research process with operational precision, demonstrating how you manage studies, analyze data, and deliver actionable insights efficiently.

📌 Application Steps

To apply for this operations-aligned UX Researcher position:

• Submit your application through the provided application link for the UX Researcher role at Defined.ai.
• Tailor your resume: Highlight experience with Qualtrics, quantitative research design, statistical analysis, and managing research projects. Use keywords from the job description such as "UX Research," "Qualtrics," "Data Collection," "Statistical Analysis," and "Actionable Insights."
• Curate your portfolio: Select 2-3 strong case studies that best showcase your quantitative research skills, your process for managing studies, and the impact of your work. Ensure your portfolio clearly demonstrates your ability to use Qualtrics and derive actionable insights from data.
• Prepare for the interview: Practice articulating your research process, your approach to data analysis, and how you collaborate with cross-functional teams. Be ready to present your portfolio case studies effectively, focusing on contributions and outcomes.
• Research Defined.ai: Understand their mission, products, and recent developments in the AI data space to demonstrate genuine interest and align your responses with their business context.

⚠️ 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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