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Research based assessments have a productive and storied history in PER. While useful for conducting research on student learning, their utility is limited for instructors interested in improving their own courses. We have developed a new assessment design process that leverages three-dimensional learning, evidence-centered design, and self-regulated learning to deliver actionable feedback to instructors about supporting their students' learning. We are using this approach to design the Thermal and Statistical Physics Assessment (TaSPA), which also allows instructors to choose learning goals that align with their teaching. Perhaps more importantly, this system will be completely automated when it is completed, making the assessment scalable with minimal burden on instructors and researchers. This work represents an advancement in how we assess physics learning at a large scale and how the PER community can better support physics instructors and students.