Serious digital games are increasingly recognized for their potential to support cognitive and socio-emotional development in early childhood (ages 3 to 8). However, their educational integration remains limited due to scarce or inadequate tools for tracking learning progress and low caregiver engagement stemming from unfamiliarity with monitoring resources. This study addresses these gaps by reengineering the analytics dashboard within the MIDI-am project, aiming to enhance learning monitoring and parental involvement in a gamified educational environment. Following Design Research Methodology (DRM), the dashboard was redesigned to include new features such as skill classification by game level and user roles for parents, guardians, and tutors. The system architecture was updated using PostgreSQL, FastAPI, and AngularJS, with an adjusted database model to support expanded functionalities. Proof-of-concept evaluations with educators and caregivers revealed improvements in usability, understanding of learning metrics, and active engagement in the educational process. Feedback also pointed to areas requiring further development, particularly enhancing data visualization and integrating artificial intelligence to automate the interpretation of learning progress. This work underscores the relevance of adaptive, user-centered dashboards in serious educational games and their role in supporting data-informed pedagogical decisions. Given its promising results and remaining challenges, this study highlights the importance of continued research into longitudinal effectiveness and the scalable implementation of learning analytics tools within early education contexts.