This study addresses the challenges of cognitive overload in video meetings by proposing a cognitive load-adaptive microbreak intervention based on non-invasive recording of biosignals. Through the systematic exploration of the problem space, we derive meta-requirements from literature and semi-structured interviews, laying the foundation for the solution design. We propose a system architecture for a neuro-adaptive video meeting system that automatically suggests microbreaks during video meetings when a predetermined number of participants exhibit elevated cognitive load using EEG. To ensure flexibility and alignment with the ongoing video meeting, we suggest granting meeting participants the option to postpone breaks. The study represents the groundwork for an ongoing design science research project designing cognitive load-adaptive microbreak interventions to improve virtual team meeting performance.