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UX Researcher

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As a Lead Experience Researcher in the Evaluative Practice, you will lead, plan, and conduct
formative and evaluative research to support Client in delivering amazing customer and employee
experiences. Lead Experience Researchers in the Evaluative Practice will plan and conduct complex research studies based on product strategy and knowledge gaps, partner with design and research leadership to inform decision-making and contribute to product planning including OKRs, roadmaps, and strategy. The most successful candidates will enjoy triangulating data across qualitative work, data and analytics, experimentation efforts, and experience metrics to inform decision-making.

Skills Overview:
Independently plan, lead, and conduct formative and evaluative research in complex problem= spaces.
Identify gaps and needs for new research studies based on understanding of product strategy.
Integrate data and analytics, experience measurement, experimentation, and evaluative practice in product spaces to impact product road maps
Support democratization efforts to with appropriate rigor

What are the top five skills and number of years of experience required to perform this job?
Bachelor's Degree in human-computer interaction (HCI), cognitive science, user experience
research, human factors, or related fields
5+ years of experience conducting formative and evaluative research, or a combination of experience with an advanced degree in a related field.
Experience independently planning and conducting a variety of formative and evaluative methodologies, such as RITE studies, biometric testing, and advanced statistical analysis across multiple products.
Able to develop and present research findings to drive the development of design specifications, product strategy, and inform design decisions.
Experience integrating data and analytics, experience metrics, and experimentation into work.

What are some preferred/nice to have skills the manager is looking for?
Deep understanding of and passion for Accessibility Testing
Proficiency in quantitative UX research methods and analyses (e.g., descriptive, inferential statistics, regression analyses, experimental design)
Strong collaborative skills to work with designers, developers, and business leaders.
Critical thinking and problem-solving skills, with the ability to tackle complex UX challenges and handle ambiguity to drive results.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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