The aim of the first stage of the research was to examine the opinions of prospective mathematics teachers about what features a question prepared to develop and measure ML should have to be effective and qualified. Moreover, it was aimed to determine the degree to which prospective teachers apply these qualifications in questions they design to develop and measure ML. The aim of the second stage of the research was to develop a valid and reliable checklist that can be used in the design of the question to develop and measure ML and to show this tool with an application. The research was conducted as a case study model. The study group consisted of 20 prospective mathematics teachers and five mathematics teachers who took ML courses. Interview forms were applied in order to collect data from the teachers and teacher candidates who took the ML course. Content analysis was used in the analysis of the prospective mathematics teachers' opinions about the qualifications of ML question. In the analysis of the data obtained, content, context, process, level and structure categories were formed for effective and qualified ML question. The checklist was decided to be in five categories and a total of 28 items and three options depending on them. It can be said that the checklist for the ML question design, which was developed and piloted in this study, is a valid and reliable measurement tool. Mathematics teachers and related researchers can use the developed checklist as a guide and guiding tool in designing ML questions.