User Experience Researcher
Spotted 2h agocontract
Job description
About this role
Employer-provided description, formatted for easier reading.
Day to day
- Conduct research and testing planning, including research approach and rationale, writing of discussion guides and developing interview activities, build out screener for recruiting, working with 3rd party recruiting firms
- Lead and facilitate cross functional analysis sessions
- Survey question design, programming and analysis
- Analyze research data and translate it into clear insights and recommendations/implications for strategy and design
- Ensure early insights are fed as relevant to the strategy and creative teams
- Work closely with strategy, design and UX to support the development of work artifacts like personas, future state journeys and the visualization of ideas
Technical Skill
- Experienced mixed-method researcher with strong qualitative UX design research and experience in designing, programming/fielding and analyzing surveys. 5 - 8 years relevant experience
- Extensive experience of a wide range of industry standard UX Research methodologies and tools (e.g. dScout, user testing, Maze, Qualtrics, and others)
- Proven experience of successful management and delivery of research on medium to large-scale projects
- Ideally, experienced in consumer, retail or banking spaces, with a proven track record of evaluating, scoping and shaping successful online services, content and experiences
- Employee research experience a plus
- Degree or equivalent qualification in a STEM subject, Psychology, Behavioural Economics, Human Factors, or Design.
- A strong team player, skilled at working in a cross-functional, multi-discipline environment with excellent communication skills and an ability to communicate effectively to senior stakeholders
- Strong commercial awareness with good strategic and analytical skills
- Excellent planning and organisational skills with ability to manage and own multiple competing priorities
- Experience using AI-enabled research and analysis tools to support qualitative analysis, with strong judgment around ethical and appropriate use, data output quality and data confidentiality
- Experience in supporting the development and testing of ai enterprise products and services
Mind-set/soft skills:
- Strong sense of the integrity of the research – ensuring that we’re not just rubber-stamping the client’s preconceptions
- Product design mind-set – comfortable in fast paced sprints & agile ways of working, loves customer research
- Flexibility in working methods – the agile approach compressing timelines; with a need to share detailed design alongside more conceptual ideas and extracting feedback from each
- Loves hands-on work
- Ability to build relationships and achieve buy in to research and insights
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