About the position
Our work aims to understand the people who will use our products, gleaning insights to drive product direction and strategy. Our methods range from generative to evaluative, ethnography to experimentation, and involve close collaboration between researchers and our cross-functional partners. As we scale the team, we're looking for teammates with a range of expertise from specialists to methodological generalists, with skills in qualitative and quantitative research methods. For this position, we are looking for experienced researchers with skills in behavioural data analysis, experimental design, survey research, statistics, and a range of qualitative research methods. The right candidates will be effective communicators, knowledgeable about product development and design, curious about the relationship between technology and society, comfortable in a fast-moving organization, excited to collaborate, and passionate about understanding and helping people. If this sounds like you, come join us as we work to solve complex and meaningful problems for people around the world!
Responsibilities
- Conduct applied quantitative and qualitative product research.
- Create research plans including logical formulation of research hypotheses.
- Draft and design questionnaires, ensuring structure, length, logic, and best practices.
- Utilize a range of qualitative methods including interviews, contextual inquiry, concept testing, and diary studies.
- Communicate research results to cross-functional stakeholders using data storytelling and presentations.
- Translate data into strategic implications for the business.
- Handle complex information and adapt to a changing environment.
- Develop tracking surveys.
- Query large behavioural datasets.
Requirements
- 2+ years of experience in applied quantitative and qualitative product research.
- Bachelor's, Master's, or PhD in human behaviour related fields (Computer Science, HCI, Experimental Psychology, Sociology, Information Science, Economics, Political Science, Mathematics, etc.).
- Experience with applied statistics and understanding of descriptive statistics including correlation, T-test, and regressions.
- Experience with questionnaire drafting and design, including structure, length, logic, question types, best practices, and sampling/bias correction.
- Demonstrated experience of communicating research results to cross-functional stakeholders.
- Experience with translating data to strategic implications for the business.
- Experience with practical application of research skills in a business setting.
Nice-to-haves
- Experience developing tracking surveys.
- Experience querying large behavioural datasets.
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