This document discusses dispositional learning analytics, which uses data about students' learning dispositions and identities to provide feedback and stimulate self-directed change. It describes how learning dispositions and identities are important for sustainable learning in uncertain times. Analytics can provide rapid feedback at different system levels by integrating soft data on dispositions with hard performance data. This helps visualize complex data to stimulate responsible agency and change. Sustainable learning ecosystems cannot rely on external control alone and require self-directed learning. Dispositional analytics aims to make the invisible visible to enhance learners' responsible agency over their own learning.