This paper addresses a relatively unexplored area in the field of learning analytics: how analytics are taken up and used as part of teaching and learning processes. Initial steps are taken towards developing design knowledge for this "middle space," with a focus on students as analytics users. First, a core set of challenges for analytics use identified in the literature are compiled. Then, a process model is presented for conceptualizing students' learning analytics use as part of a self-regulatory cycle of grounding, goal-setting, action and reflection--the "Student Tuning Model." Finally, the "Align Design Framework" is presented with initial validation as a tool for pedagogical design that addresses the identified challenges and supports students' use of analytics as part of the tuning process. Together, the framework's four interconnected principles of "Integration, Agency, Reference Frame and Dialogue / Audience" provide a useful starting point for further inquiry into well-designed learning analytics implementations.