Wellness Activity Impact Analysis

The Higher Living seeks to enhance its understanding of how various exercises and activities impact mental and physical health across different demographics. The goal of this project is to analyze existing datasets related to health, mental health, and relationships to develop a predictive algorithm. This algorithm will identify which activities yield the most significant improvements in well-being for specific demographic groups. By leveraging classroom knowledge in data analysis and algorithm development, learners will work to uncover patterns and insights that can guide personalized wellness recommendations. The project will involve tasks such as data cleaning, exploratory data analysis, and algorithm development, ensuring a comprehensive approach to understanding wellness impacts.

Digital Community Engagement for Amicare App

Main Objective: The primary objective of this project is to generate early user sign-ups and engagement for the Amicare app through direct outreach in digital communities. Tasks and Activities: Identify and vet 30+ high-potential online communities (e.g., Facebook groups, local forums) with active audiences aligned with Amicare’s target users. Craft tailored outreach messages and value propositions for different audience segments (e.g., caregivers, seniors’ family members). Post and engage in selected communities to generate interest, answer questions, and drive traffic to the app. Track interactions, responses, and conversions from each channel to identify the most effective acquisition strategies. Deliverables: A vetted list of online communities with estimated reach and engagement strategy per group. 3–5 tested outreach message templates with performance data. Weekly progress reports summarizing activities, user engagement, and number of sign-ups generated per channel. A final acquisition performance report detailing conversion metrics, top-performing channels, and strategic recommendations for scaling grassroots outreach.