Impact Measurement Thesis

Quantitative measures will include the number of smaller pilots and participants during the year, journal, and data entries. Milestones are related to how close we get to a fully seamless process from data capture to benefits, and we aim to measure the quality of our UX and self-reported improvements in participant’s well-being.

Our primary focus will be on expanding our 'Total Active Users/Communities,' which encompasses both individual participants and communities engaged as data providers and data analysts. This metric is crucial as it directly reflects the engagement and adoption of our platform, indicating the effectiveness of our technology in meeting the needs of users in the healthcare and research sectors.

Why These Metric Matter:

• User Engagement: A growing number of active users signifies a strong interest and reliance on our platform, validating the effectiveness and usability of our technology.

• Data Richness: More active users contribute to a richer data pool, enhancing the accuracy and depth of algorithms and overall data analysis capabilities.

• Community-Driven Research: An increase in active communities aligns with our goal of democratizing research through our DAO structure, fostering collaborative and transparent scientific discovery.

Currently, we are in the preliminary phase of our project, focusing on building and refining our infrastructure. We have not yet onboarded active users or communities. Our primary goal is to establish this foundational platform and begin user acquisition. We aim to attract a diverse range of users, from individual users and communities to healthcare professionals and research analysts, showcasing our platform's versatility. Our strategies will include targeted outreach, forming community partnerships, and enhancing the platform to ensure it delivers maximum value and a superior user experience.