
Experience Research Vice President
- London
- Permanent
- Full-time
- Partner closely with colleagues across product, design and technology to design and execute research projects which inform strategy and decision-making
- Analyze and interpret data using advanced quantitative methods and translate insights into actionable recommendations to enhance user experience
- Define relevant metrics and facilitate their implementation to provide meaningful insights about product performance and user experience
- Advise colleagues on what to measure about user experience, both by tracking user behavior and by running user surveys
- Monitor industry trends in user experience research methods and incorporate innovative techniques to maintain a competitive edge in the market
- Formal experience or equivalent expertise in generative and evaluative user experience research, with a strong focus on quantitative research methods
- Proven ability to conduct various research techniques, such as surveys, A/B tests and statistical modelling, to derive actionable insights to inform product decisions
- Experience in collaborating with cross-functional teams, including product managers, UX designers and developers, to propel user-centric decision-making and inform product prioritization
- Experience in designing high-quality research studies with an iterative mindset, with an ability to adapt study parameters to accommodate changing product design needs
- Experience analyzing and visualizing data using Python or R, focused on developing reproducible analytical pipelines
- Experience synthesizing large datasets from different sources to derive meaningful insights
- Experience distilling complex research findings into actionable insights and to communicate insights effectively to audiences with different levels of seniority and familiarity with research
- Advanced degree (e.g. MSc, PhD) in data science, behavioral science, social psychology, statistics, or another related field
- Experience with advanced statistical methods (e.g., longitudinal analysis, multi-level modeling, AI/ML techniques)
- Experience using experimental and quasi-experimental designs
- Familiarity with Tableau and/ or Adobe Analytics