This white paper presents the findings of HITLAB’s independent heuristic evaluation of the BlockHaven platform, conducted at the pre-launch stage to assess the usability, design, and interaction model of the platform across both the individual and clinician experiences. BlockHaven is a pre-launch digital health platform designed to establish persistent, sovereign, individual-anchored health memory through its core product, HealthMemory . It serves both individuals and clinicians; the platform unifies longitudinal health data, ambient clinical capture, and AI- driven decision support within a single consent-based architecture, addressing one of healthcare’s most entrenched structural failures: the absence of continuous health data that travels with the individual across providers, settings, and time.

HITLAB conducted a heuristic evaluation of the BlockHaven platform across both the individual and clinician experiences, assessing the pre-launch demo against Nielsen’s ten established usability heuristics. The evaluation involved reviewing pre-launch build spanning onboarding, the home dashboard, health insights, live visit recording, clinician check-in, and the HealthMemory vault.

The evaluation was carried out by a multidisciplinary team of usability experts and digital health specialists, applying a structured review methodology to identify friction points, design inconsistencies, and opportunities for improvement before full-scale launch. Each heuristic was assessed independently across both the individual-facing and clinician-facing experiences, enabling a comparative analysis of how well the platform serves its two distinct user populations.

Findings were documented with severity ratings to help the
BlockHaven team prioritize remediation efforts in alignment with both user needs and clinical workflow demands. This paper is intended to serve as a foundational usability reference for the BlockHaven product and design teams as they advance from the pre-launch stage into iterative build cycles. The insights and recommendations contained herein reflect best practices in human-centered design and digital health usability standards, and are aimed at supporting BlockHaven in delivering a platform experience that is not only clinically robust but also intuitive, accessible, and trustworthy
for all end users.