In the last decade, learning analytics have helped institutions, teachers, and policy makers to understand student learning and outcomes. These analytics make use of the data generated during study activity in order to enhance learning and teaching. They often focus on how teachers and institutions can help learners to pass a test, a module, or a degree. Student-led analytics, on the other hand, not only invite students to reflect on the feedback they receive but also start them on the path of setting their own learning goals. These analytics put learners in the driving seat. Learners can decide which goals and ambitions they want to achieve, and which types and forms of learning analytic they want to use to achieve those targets. The analytics then support learners to reach their goals.