Process mining is a powerful approach for analyzing event data, benefiting greatly from human-in-the-loop methods due to its reliance on human interpretation and decision-making. However, current tools do not fully exploit the potential of integrating process mining with interactive visual support. To address this gap, we adopt a design science research approach to systematically connect task concepts from both domains. As a result, we introduce Milana, a method that links process mining tasks, expressed as analysis questions, to established visual analytics requirements. Milana fosters a shared vocabulary, improves communication between the communities, and offers practical guidance for designing effective visualizations tailored to process mining.