Data Driven Design Questions

Using quantitative and qualitative evidence to inform and validate design decisions. Candidates should demonstrate how to define clear success metrics and key performance indicators instrument events and build dashboards to monitor impact. Topics include experiment design such as A and B testing selecting appropriate metrics and cohorts interpreting results including statistical and practical significance triangulating analytics with qualitative research and using segment and funnel analysis to surface insights. Also cover data quality and instrumentation trade offs privacy and ethical considerations and how to communicate data driven recommendations and trade offs to product and engineering stakeholders while linking design changes to measurable business outcomes.