Job Description
Microsoft is seeking a Quantitative UX Researcher to develop and implement a comprehensive framework for collecting in-product feedback surveys, analyzing data, and providing actionable insights to drive product improvement strategies.
We are a team of product designers, UX researchers, and content designers working together with PM and Engineering partners to design product experiences that are trusted, human-centered, and easy to use.
Our culture is centered on embracing a growth mindset, inspiring excellence, and encouraging teams and leaders to bring their best each day.
We are looking for a visionary who can bring fresh ideas to the table, establish a data-driven perspective to steer product strategy, and exhibit strong leadership, research, storytelling, and organizational skills.
Responsibilities
- Design and develop a robust framework for in-product feedback surveys.
- Collaborate with product teams to identify key metrics and feedback opportunities.
- Implement and test feedback collection methods to ensure accuracy and reliability.
- Analyze survey data to provide actionable insights and recommendations.
- Present findings to stakeholders and contribute to product improvement strategies.
- Stay up-to-date with industry trends and best practices in user experience research.
Qualifications
- Master's degree in Human-Computer Interaction (HCI), Psychology, Statistics, Data Science, or a related field.
- Experience working with senior leadership (e.g., Director level and above).
- Extensive experience in the UX research field.
- Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
- Experience applying statistical analysis methods such as Regressions, ANOVA, and T-Tests.
- Experience translating research findings into strategic narratives.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.