Neurological disorders present formidable healthcare challenges, particularly with the aging demographic, underscoring the urgency for early detection to facilitate effective treatment. However, existing diagnostic approaches often lack objectivity, impeding treatment efficacy. NeuraMetrix introduces an innovative solution that leverages typing patterns to identify variations indicative of neurological conditions. This pioneering approach enhances diagnostic accuracy by employing typing cadence as a digital biomarker. Through sophisticated algorithms, the platform correlates typing consistency with various brain diseases, enabling precise diagnostics and ongoing monitoring of disease progression. To comprehensively evaluate the user experience and features of the NeuraMetrix platform, HITLAB conducted a heuristic analysis. This evaluation focused on key aspects such as interface design, navigation intuitiveness, terminology clarity, and error handling mechanisms. Strengths and areas for improvement were identified through this thorough analysis. Based on the findings, recommendations were formulated to enhance user guidance, tackle usability challenges, and optimize data organization within the platform. These recommendations aim to refine the user experience, ensuring seamless interaction and maximizing the platform’s utility in neurological diagnostics and management.