As a Quantitative UX Researcher at Baylor Scott & White Health, you will play a crucial role in enhancing user experiences across our digital products and services. Your primary responsibility will be Survey Management, which encompasses the design, implementation, and deployment of surveys aimed at collecting both generative and evaluative quantitative data. It is essential that the questions posed in these surveys are clear, unbiased, and aligned with our experience metrics, survey design formats, scales, standards, and research objectives. Your expertise will be pivotal in conceptualizing and executing user-focused solutions that elevate the overall experience for patients, healthcare providers, and other stakeholders. In this role, you will collaborate extensively with cross-functional teams to lead quantitative research efforts, distilling complex findings into actionable customer insights. A proven track record in conducting impactful research and a deep understanding of user-centric design principles are critical for success. Your passion for collaboration, combined with your drive to effect positive change, will make you a key asset in our pursuit of exceptional user satisfaction. You will handle internal stakeholder requests to evaluate primary business questions and desired outputs, developing quantitative analysis strategies to guide business decisions. Additionally, you will oversee survey tool management and administration, ensuring user management and data cleaning are effectively executed. Leading the selection and implementation of survey question types, formats, and methodologies will be part of your responsibilities, ensuring consistency and alignment with transactional and experience metrics. Your role will also involve planning and executing quantitative research studies to gather insights into user behavior, preferences, and interactions with both physical and digital products and services. You will collect, analyze, and interpret quantitative data using various tools, including surveys and analytics platforms, to inform product decisions. Applying statistical methods to analyze large datasets and derive meaningful insights will be essential in improving user experiences. Furthermore, you will communicate findings effectively through clear reports, data visualizations, and presentations to stakeholders, ensuring that insights are actionable and impactful.