Doctoral education suffers from high attrition rates and well-being challenges. Research has identified critical motivational factors differentiating persisting students from those who withdraw, including: perceived progress, exhaustion levels, and thesis topic appropriation. Despite this knowledge, technological interventions—particularly learning analytics and artificial intelligence solutions—targeting doctoral education remain scarce, in part due to the inherently unique nature of each doctoral journey. This paper introduces the Doctoral Educational Technology (DET) platform, a novel system co-designed with doctoral students to enhance their perception of progress in thesis development. DET integrates multiple modules supporting evidence-based practices (e.g., journaling) drawn from doctoral training interventions targeting the three aforementioned motivational factors. The platform’s innovation lies in its application of single-case learning analytics (SCLA) combined with generative AI, enabling personalized support that helps students visualize their progress and identify contributing factors. Our demonstration will guide the audience through DET’s core functionalities using a realistic doctoral student’s dataset, derived from our early pilot implementations. It will also have the side-effect of making doctoral students attending the demonstration aware of practices and ideas that can support them in their doctoral journey, embodied in a platform that they can already use in their everyday PhD work.