The concept of a circular economy (CE) transition requires multi-level frameworks regarding the definition of goals and targets for different time horizons, desired change timeframes, sectoral circularity guidelines, and national and regional public policies, among other factors. Aiming to provide consistent frameworks for evidence-based business decisions with implications for the meso and macro levels of CE, the objective of this dissertation is to propose a strategic measurement model to monitoring and evaluating the circularity performance at the micro level by integrating GMA and two multicriteria decision-making methods. The main findings of this study are: (i) a generic morphological matrix comprising eight parameters and their possible states to define and visually represent possible CE transition scenarios for a given organization that aims to evolve through CE transitions; (ii) the potential use of a hybrid methodological approach (that combines GMA with two MCDM methods) for selecting the most relevant C-indicators for each R-strategy could be highlighted; (iii) an initial list of 58 C-indicators and metrics associated to ten R-strategies and a set of 38 selected C-indicators by adopting the hybrid AHP-TOPSIS method; (iv) definition of ten composite C-indicators associated with the R-strategies, as well as an overall Circularity Performance Index (CPI), and a step-by-step procedure to calculate them in different CE transition scenarios. From a CE transition perspective, the results highlighted practical implications for organizations and value chains, once the proposed model is designed to be applied in different business contexts, especially in those organizations that will define their circularity targets and respective agendas concerning CE transitions.