Although clinical competence is multi-dimensional and should be acquired by each medical student, most students learn clinical reasoning skills informally in clinical rotations. Additionally, problems encountered during professional practice do not always have straightforward algorithmic solutions but require judgment and insight which cannot be taught or measured by conventional tools. Teaching and assessing clinical reasoning have transitioned from an endeavor designed to capture a linear, predictable process with instruments that predominantly collect quantitative measurements, to a view of clinical reasoning as a complex, interactive process that occurs in dynamic contexts and which is situation and context-specific.  Learning by concordance (LbC) is an online education strategy that makes learners practice reasoning competency in case-based clinical situations. Based on the LBC, the SCT/TBL model was used as an instructional approach to teach and formatively assess clinical reasoning for undergraduate medical students. It can provide solutions by merging two validated methods; the Script Concordance Test (SCT) and Team-Based Learning (TBL) in a novel way for the instruction of clinical reasoning. The model will confront each student with unstructured clinical problems, encourage them to generate, test hypotheses, and map their reasoning against the experts’ reasoning despite the group size. Therefore, it will help in the individualization of the clinical reasoning learning process for each student and help them build their own illness script.  At the same time, it will foster discussion between students, peers, and instructors and encourage teamwork.