Meta
User Experience Researcher, Mixed Methods
London
Posted 1 day ago
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Meta is seeking a User Experience Researcher with mixed methods expertise to help shape products and experiences used by billions of people worldwide. In this role, you will design and lead research that combines qualitative and quantitative approaches to generate deep insights into user attitudes, behaviors, and motivations. You will partner closely with product, design, and data science teams to translate complex research findings into actionable recommendations that directly influence product strategy and roadmap decisions across Meta's family of apps and platforms.
Responsibilities
- Design and execute mixed methods research studies that combine qualitative approaches (such as in-depth interviews, diary studies, and contextual inquiry) with quantitative methods (such as surveys and behavioral data analysis) to answer complex product questions
- Develop comprehensive research plans that identify appropriate methodologies, address potential sources of bias, and rigorously test hypotheses relevant to user experience and product strategy
- Lead end-to-end execution of qualitative research projects, including participant recruitment, moderation, coding, thematic analysis, and synthesis of findings
- Lead end-to-end execution of quantitative research projects, applying descriptive and inferential statistical techniques and writing reproducible analysis code as needed
- Translate ambiguous or conflicting research findings into clear, actionable insights and recommendations that inform product and design decisions
- Develop compelling data visualizations and presentations that communicate research findings to cross-functional stakeholders including product managers, designers, engineers, and leadership
- Collaborate with data science and analytics partners to integrate behavioral data with attitudinal research, building a holistic understanding of user experience
- Manage research projects of moderate-to-high cross-functional complexity, proactively identifying risks, managing timelines, and communicating progress to stakeholders
- Contribute to team-level research strategy by identifying gaps in user understanding and proposing research agendas that address short, mid, and long-term product goals
- Leverage AI tools to streamline research workflows, including analysis, synthesis, and documentation, while ensuring responsible and ethical use of AI in research practice
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Minimum Qualifications
- 6+ years of experience conducting user experience research using both qualitative and quantitative methods in a product development environment
- Experience designing and executing a range of qualitative research methods, including interviews, usability studies, diary studies, or contextual inquiry, and applying analytical frameworks to generate themes and insights
- Experience designing and executing quantitative research methods, including survey design and statistical analysis, and translating findings into product-relevant recommendations
- Experience managing research projects with cross-functional stakeholders, including communicating research plans, findings, and implications to product and design partners
- Experience applying multiple statistical approaches and writing code (such as Python or R) to execute and document quantitative analyses
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Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience contributing to team research strategy, including identifying research priorities and influencing product roadmap decisions at the team level
- Experience integrating large-scale behavioral or telemetry data with primary research to build comprehensive user understanding
- Experience conducting research on consumer-facing social, communication, or content products at scale, with an understanding of how platform dynamics shape user behavior
- Experience adapting research methodologies for emerging interaction paradigms such as augmented reality, virtual reality, or AI-powered product experiences
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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Skills
User Experience Research
Mixed Methods
Qualitative Research
Quantitative Research
Statistical Analysis
Python
R
Survey Design
Data Visualization
Product Strategy
Behavioral Data Analysis
AI Tools
Usability Studies
Contextual Inquiry
Diary Studies
Stakeholder Management
Location