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Students come to learning in engineering classrooms with misconceptions about the concepts covered in engineering course contents. However, instructional efforts often do not effectively address misconceptions in students’ prior knowledge. Concept inventories (CIs) are often relied upon to identify misconceptions in students’ prior knowledge. However, many instructors never benefit much from using CIs because they lack either the know-how, time commitment, or statistical skills required to use them efficiently and effectively. Furthermore, there sometimes are ambiguities about how to interpret students’ CI scores. The Electric Circuit Concepts Diagnostic (ECCD) project team will address these limitations of CIs by creating a web-based electric circuit concept inventory that: (i.) provides an immediate and multipurpose feedback system for reporting about students’ circuits and electricity prior knowledge; (ii.) differentiates, with a high probability, between a lack of prior knowledge and misconceptions; and (iii.) uses a scheme of multidimensional knowledge profiles to report on students’ prior knowledge and misconceptions. The project will integrate the affordances of cognitive diagnostic modeling (CDM), multitier testing frameworks, and computer-assisted testing to realize these project objectives. This work-in-progress report introduces the objectives of ECCD inventory to the ECE research and teaching community.