UX Research Executive

📍 Job Overview

Job Title: UX Research Executive

Company: Ipsos

Location: Thailand (Remote)

Job Type: Full-time

Category: UX Research & Insights / Operations

Date Posted: 2026-08-07

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

Remote Status: Remote

🚀 Role Summary

• This role is centered on the meticulous execution and operational support of mixed-methods user research studies, spanning both qualitative and quantitative approaches.

• You will be instrumental in the end-to-end project lifecycle, from initial setup and fieldwork coordination to data synthesis and the creation of client-ready reports.

• A key aspect involves integrating Artificial Intelligence (AI) tools to optimize research processes, enhance speed, and improve overall output quality, aligning with Ipsos' "Augmented Ipsos" philosophy.

• This position requires close collaboration with internal researchers, enabling services, and external vendors to ensure seamless project delivery and data integrity.

📝 Enhancement Note: The job title "UX Research Executive" combined with the responsibilities strongly indicates a role focused on the operational execution of research projects rather than pure strategic UX research. The emphasis on "end-to-end research execution," "smooth running of project timelines," and "coordination" points towards a Research Operations or Project Management function within UX Research. The explicit mention of AI integration and workflow optimization further solidifies this.

📈 Primary Responsibilities

• Provide comprehensive end-to-end support for mixed-methods user research studies, managing the full project lifecycle from inception to delivery.

• Actively participate in the coordination of qualitative and quantitative fieldwork, ensuring alignment with project objectives and timelines.

• Collaborate with Senior Researchers to synthesize research data, identify key trends, and contribute to the development of compelling, client-ready reports and narratives.

• Uphold data integrity throughout the research process, implementing quality control measures and ensuring accurate data management.

• Partner effectively with internal Ipsos teams (Senior Researchers, enabling services) and external vendor partners to facilitate seamless project execution and foster strong working relationships.

• Proactively explore and integrate AI tools into daily workflows for research setup, transcript processing, content brainstorming, and other research-related tasks to enhance efficiency.

• Identify and implement workflow optimizations that blend human insight with technological advancements to maximize the quality and speed of research outputs.

• Support the ongoing evolution of Ipsos' "Augmented Ipsos" philosophy by demonstrating a curiosity and willingness to learn and adapt to new AI-driven research methodologies.

📝 Enhancement Note: The primary responsibilities are structured to highlight the operational and execution-focused nature of the role, emphasizing project management, coordination, and the practical application of research methodologies. The integration of AI is presented as a core operational task.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Psychology, Sociology, Anthropology, Human-Computer Interaction, Market Research, Communications, or a related field is typically expected for roles of this nature.

Experience: 1-3 years of direct experience in user experience (UX) research, design research, market insights, or a similar research-focused role.

Required Skills:

• Foundational understanding of core research fundamentals, encompassing both qualitative and quantitative methodologies.

• Experience with end-to-end project support or coordination in a research or project management context.

• Demonstrated ability to contribute to data synthesis, analysis, and report generation.

• Proficiency in managing project timelines and coordinating fieldwork activities.

• Familiarity with maintaining data integrity and implementing quality assurance processes.

• Strong collaboration and communication skills for working with internal and external stakeholders.

• A proactive, resourceful, and agile working style, comfortable navigating ambiguity.

• Genuine curiosity and enthusiasm for user-centric digital design and research. Preferred Skills:

• Direct experience in UX research specifically within the tech or digital product space.

• Experience with or a strong aptitude for integrating AI tools into research workflows for optimization.

• Familiarity with a variety of research tools and platforms (e.g., survey software, usability testing platforms, data analysis tools).

• Understanding of mixed-methods research design and execution.

• Experience working in a fast-paced, dynamic team environment.

• A foundational grasp of emerging technologies and their application in research.

📝 Enhancement Note: The preferred skills section is designed to guide candidates on how to best position themselves, highlighting areas that would make them stand out, particularly the AI integration and digital product research experience. The education section infers typical requirements for this field.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least one detailed case study demonstrating end-to-end management of a research project, highlighting your role in setup, execution, and delivery.

• Include examples of contributions to data synthesis and the creation of client-ready reports, demonstrating your ability to translate raw data into actionable insights.

• Provide evidence of process optimization efforts, such as how you improved efficiency, ensured data integrity, or streamlined fieldwork coordination in a previous role.

• If possible, include an example of how you experimented with or integrated new tools (including AI) to enhance a research process or outcome. Process Documentation:

• Ability to document research workflows, from initial participant recruitment and screening to data collection and analysis phases, ensuring clarity and reproducibility.

• Experience in contributing to the development of standardized research processes and best practices for consistent project execution.

• Demonstrating an understanding of how to track and measure the efficiency and effectiveness of research processes.

📝 Enhancement Note: This section emphasizes the practical application of research methodologies and process management, crucial for an operations-focused role. The portfolio requirements are tailored to showcase operational capabilities and an understanding of process improvement.

💵 Compensation & Benefits

Salary Range: Given the location (Thailand), experience level (1-3 years, with a broader 2-5 year AI-derived range), and the nature of the role within a large global research firm like Ipsos, a competitive salary range can be estimated. For a UX Research Executive in Thailand with this experience, the annual salary could range from approximately ฿600,000 to ฿1,200,000 (approximately $16,000 - $32,000 USD), depending on specific skills, prior experience, and the exact scope of responsibilities.

Benefits:

• Comprehensive health insurance coverage.

• Paid time off (vacation, sick leave, public holidays).

• Opportunities for professional development and training, particularly in AI and advanced research methodologies.

• Access to a global network of researchers and industry experts.

• Potential for performance-based bonuses or incentives.

• Retirement savings plan contributions.

• Flexible working arrangements, supporting a remote work environment.

Working Hours: Standard full-time working hours, typically 40 hours per week. Flexibility may be offered to accommodate different time zones for multi-market studies and to support remote work arrangements, with clear communication expected regarding availability.

📝 Enhancement Note: Salary estimates are based on general market data for Thailand for roles requiring 1-3 years of experience in research and insights, adjusted for the global nature of Ipsos. Benefits are inferred from typical offerings at large multinational corporations in the research industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: Market Research & Data Analytics. Ipsos is a global leader in understanding consumer behavior, public opinion, and societal trends, serving a diverse range of clients across various sectors.

Company Size: Large Enterprise (over 10,000 employees globally). This scale offers opportunities for diverse project exposure and career mobility across different regions and service lines.

Founded: 1975. Ipsos has a long-standing reputation and deep expertise in the research industry, built on a foundation of methodological rigor and client-centric solutions.

Team Structure:

• The UX Research Executive will likely be part of a dedicated UX research team or a broader insights/analytics division.

• This team is expected to be composed of Senior Researchers, UX Researchers, Research Managers, and potentially specialized analysts.

• Collaboration is expected across various Ipsos service lines and enabling functions (e.g., data science, technology, project management). Methodology:

• Ipsos employs a wide array of research methodologies, including qualitative (interviews, focus groups, ethnography), quantitative (surveys, data analysis), and increasingly, mixed-methods approaches.

• The company emphasizes a data-driven approach, leveraging both traditional research techniques and advanced analytics, including AI, to deliver actionable insights.

• There is a strong focus on client-specific problem-solving, requiring adaptable and tailored research designs.

Company Website: https://www.ipsos.com/

📝 Enhancement Note: The company context is derived from the provided description and general knowledge of Ipsos. The emphasis is on how this scale and industry position influence the operations role.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level execution specialist. It's an opportunity to deepen expertise in research operations and project management within the UX research domain, moving beyond foundational execution to more complex project handling.

Reporting Structure: Likely reports to a Senior UX Researcher, Research Manager, or a Head of Research Operations, depending on the team's internal structure. Collaboration will be key with project leads and other cross-functional teams.

Operations Impact: The UX Research Executive directly impacts the quality and efficiency of research delivery, which in turn influences client satisfaction and the strategic decisions made by clients based on the insights provided. By optimizing processes and ensuring smooth execution, they contribute to Ipsos' reputation for delivering high-quality, timely research.

Growth Opportunities:

• Specialization: Develop deep expertise in specific research methodologies (e.g., advanced qualitative analysis, large-scale quantitative studies) or industry verticals.

• AI & Innovation: Become a go-to person for integrating and optimizing AI tools within research workflows, a rapidly growing area.

• Project Management: Advance into roles with greater project scope, budget responsibility, and client-facing leadership.

• Team Leadership: Progress to managing junior researchers or a dedicated research operations team.

• Cross-functional Roles: Transition into broader roles within Ipsos's enabling services or client management functions.

📝 Enhancement Note: This analysis focuses on the career trajectory for an operations-minded individual within a research organization, highlighting paths that leverage their execution and process skills.

🌐 Work Environment

Office Type: Primarily a remote work environment, allowing for flexibility and autonomy. While Ipsos has global offices, this specific role is designated as remote.

Office Location(s): The role is based in Thailand, but the remote nature means the "office" is wherever the employee is located within Thailand. This allows access to the Thai talent pool while offering remote work advantages.

Workspace Context:

• The workspace is digital and collaborative, relying heavily on online communication tools and project management platforms.

• Access to Ipsos's internal systems, research platforms, and AI tools will be provided.

• Opportunities for virtual team-building activities and online knowledge-sharing sessions will be available to foster connection and collaboration.

• The remote setup necessitates strong self-discipline and effective time management to maintain productivity and work-life balance.

Work Schedule: While typically 40 hours per week, the remote nature may offer some flexibility in scheduling, especially when coordinating with international teams. Clear communication regarding availability and responsiveness during core business hours (relevant to Thailand and potentially key global markets) is crucial.

📝 Enhancement Note: The remote aspect is central, and the description focuses on how this impacts the daily work, collaboration, and expectations for an operations role.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct a brief introductory call to assess basic qualifications and cultural fit.

• Skills Assessment: You may be asked to complete a short assignment or case study focusing on research execution, data synthesis, or problem-solving related to a research scenario.

• Technical/Behavioral Interviews: Multiple rounds of interviews with team members and potential direct reports/peers. Expect questions on your experience with research methodologies, project coordination, AI integration, and how you handle challenges.

• Final Interview: Potentially with a senior leader, focusing on strategic thinking, long-term career aspirations, and overall fit with Ipsos's values.

Portfolio Review Tips:

• Highlight Operations: Clearly articulate your role in project management, coordination, and process improvement within your case studies. Quantify achievements where possible (e.g., "reduced report delivery time by X%", "managed Y concurrent studies").

• Showcase AI Integration: If you have examples of using AI for research tasks, present them clearly, explaining the problem, the AI solution, and the impact.

• Structure for Clarity: Organize your portfolio logically. For each project, include: the problem statement, your role and responsibilities, the methodology used, your contributions (especially operational ones), key findings/outputs, and lessons learned.

• Focus on Process: Emphasize your understanding of research workflows, data integrity, and quality assurance. If you've documented or improved a process, showcase that.

Challenge Preparation:

• Research Scenario: Be prepared to discuss how you would approach a hypothetical research project, focusing on the operational steps, potential challenges, and how you'd mitigate them.

• AI Application: Think about specific ways AI can be applied to the UX research lifecycle (e.g., transcription, sentiment analysis, survey design, persona generation support) and how you would implement or test these.

• Collaboration & Communication: Practice articulating how you collaborate with diverse teams and communicate complex information clearly and concisely to different stakeholders.

📝 Enhancement Note: This section provides actionable advice tailored to an operations-focused role, guiding candidates on how to best present their experience and prepare for the specific challenges of a UX Research Executive interview.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Experience with platforms for usability testing, surveys, and participant recruitment (e.g., Qualtrics, SurveyMonkey, UserTesting.com, UserZoom).

• Data Analysis Software: Familiarity with tools for qualitative data analysis (e.g., NVivo, Dovetail) and quantitative data analysis (e.g., SPSS, R, Python for basic analysis, Excel).

• Collaboration Suites: Proficiency in tools like Microsoft Teams, Slack, Google Workspace for communication and collaboration.

• Project Management Tools: Experience with tools like Asana, Trello, Jira, or similar for task tracking and project coordination.

Analytics & Reporting:

• Reporting & Visualization Tools: Ability to use tools to create client-ready reports and dashboards (e.g., PowerPoint, Google Slides, Tableau, Power BI for data visualization).

• Spreadsheet Software: Advanced Excel skills for data manipulation and basic analysis.

CRM & Automation:

• CRM Systems: Basic understanding of CRM principles if client data is involved (e.g., Salesforce, though less direct for this role).

• AI Tools: Openness and eagerness to learn and utilize AI-powered research tools for tasks such as transcription analysis, sentiment analysis, initial data processing, and content generation.

📝 Enhancement Note: This outlines the typical technology stack for a research operations role, with a specific emphasis on AI integration as highlighted in the job description.

👥 Team Culture & Values

Operations Values:

• Curiosity: A driving force behind exploring new methodologies, tools (especially AI), and understanding user behaviors. This value encourages continuous learning and innovation.

• Efficiency & Agility: A focus on streamlining processes, optimizing workflows, and adapting quickly to changing project needs and technological advancements.

• Collaboration: A commitment to working effectively with diverse internal and external teams, fostering open communication and shared success.

• Data-Driven Decisions: A reliance on empirical evidence and rigorous analysis to inform research outputs and client recommendations.

• Client Focus: A dedication to understanding and meeting client needs by delivering high-quality, actionable insights.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with Senior Researchers, data analysts, and potentially client account managers, requiring clear communication and mutual understanding of different functional priorities.

• Process-Oriented Feedback: An environment that encourages constructive feedback on research processes to drive continuous improvement.

• Knowledge Sharing: A culture that promotes sharing best practices, learnings from projects, and insights into new tools and techniques, particularly concerning AI in research.

📝 Enhancement Note: These values are inferred from Ipsos's stated core value ("Curiosity") and the general requirements of an operations-focused role within a research firm.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Speed and Quality: Ensuring that the drive for efficiency and speed, especially with AI tools, does not compromise the rigor and depth of research insights.

• AI Tool Integration: Learning to effectively and ethically integrate new AI tools into established research workflows, managing potential biases and ensuring data privacy.

• Managing Ambiguity: Navigating fast-paced projects with evolving requirements and diverse stakeholder needs, requiring adaptability and problem-solving skills.

• Cross-Cultural Research: Supporting multi-market studies may involve understanding cultural nuances and coordinating across different time zones and languages.

Learning & Development Opportunities:

• AI in Research Training: Dedicated opportunities to learn about and experiment with cutting-edge AI tools and their application in UX research and market insights.

• Methodological Deep Dives: Access to training and resources to deepen expertise in specific qualitative or quantitative research techniques.

• Project Management Skills: Development in managing complex projects, timelines, and budgets.

• Industry Conferences & Certifications: Support for attending relevant industry events and obtaining certifications in research or project management.

• Mentorship: Opportunities to learn from experienced researchers and operations professionals within Ipsos.

📝 Enhancement Note: This section identifies potential challenges specific to this role and the broader research industry, offering proactive advice and highlighting avenues for professional growth.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex research project you supported from start to finish. What was your specific role in its execution, and what operational challenges did you overcome?" (Focus on your process, coordination, and problem-solving).

• "How have you used or how would you propose using AI tools to enhance a UX research workflow? Provide a specific example and outline the potential benefits and risks." (Demonstrate your understanding of AI's practical application in research).

• "Imagine a project where stakeholder feedback significantly alters the research scope mid-way. How would you adapt your operational plan and ensure data integrity?" (Assess your agility and process management under pressure). Company & Culture Questions:

• "What do you know about Ipsos's 'Augmented Ipsos' philosophy, and how do you see yourself contributing to it as a UX Research Executive?" (Show you've researched the company and understand the AI focus).

• "Ipsos values curiosity. How do you demonstrate curiosity in your work, especially when it comes to new research methodologies or technologies?" (Align your personal values with company values).

• "Describe a time you had to collaborate closely with external vendors or different internal teams. What strategies did you use to ensure successful partnership and project alignment?" (Assess your collaboration and stakeholder management skills). Portfolio Presentation Strategy:

• The "Ops" Story: For each case study, clearly articulate the "problem," the "process/solution" (emphasizing your operational role), and the "outcome/impact." Quantify results where possible.

• AI Integration Showcase: If you have AI examples, dedicate a slide or section to it. Clearly explain the AI tool used, the task it performed, and the tangible benefits (e.g., time saved, improved data quality).

• Visual Clarity: Use clean slides, clear visuals, and concise text. Ensure your contributions are distinct from those of senior team members.

• Interactive Elements: Be prepared to dive deeper into specific aspects of your projects, answer detailed process questions, and discuss your decision-making rationale.

📝 Enhancement Note: These questions and strategies are designed to prepare candidates for an interview that will assess both their research operations capabilities and their understanding of Ipsos's forward-looking, AI-integrated approach.

📌 Application Steps

To apply for this UX Research Executive position:

• Submit your application through the provided Oracle Cloud link, ensuring all required fields are completed accurately.

• Tailor Your Resume: Highlight your experience in project coordination, research execution, data synthesis, and any exposure to AI tools. Use keywords from the job description such as "UX Research," "Qualitative," "Quantitative," "Data Analysis," "Reporting," "AI Tools," and "Workflow Optimization."

• Prepare Your Portfolio: Curate 1-3 key projects that best demonstrate your operational skills in research execution, process management, and collaboration. Focus on showcasing your contributions to end-to-end study support and any experience with AI integration.

• Research Ipsos: Familiarize yourself with Ipsos's services, the "Augmented Ipsos" philosophy, and their commitment to data-driven insights and AI. Understand their position in the market research industry.

• Practice Interview Responses: Prepare answers to common behavioral and situational questions, focusing on specific examples that highlight your operational strengths, adaptability, and curiosity. Be ready to discuss your portfolio in detail.

⚠️ 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.