This five-day intensive workshop provides participants with a comprehensive introduction to QCA, emphasizing research design and empirical application. Participants will follow an ideal-typical research process, starting with empirical illustrations of how and why QCA is used in the social sciences. These foundational sessions explore key principles, such as set theory, Boolean algebra, and the calibration of crisp and fuzzy sets, while guiding participants through the protocol for identifying patterns of causal complexity using truth tables and Boolean minimization. The course progresses step by step, from study design to the interpretation of results, incorporating hands-on exercises with real-world examples. Advanced topics – including multi-method research, robustness tests, and recent developments in QCA – are tailored to participants’ needs and research interests. Opportunities to present individual projects and explore potential applications further enhance the workshop.