Introduction
For Omada's hypertension management program, we're faced with a critical decision: should we invest in more advanced biometric tracking devices or improve the mobile app experience to increase daily user engagement? This trade-off involves balancing hardware capabilities with software usability, both aimed at enhancing user engagement and health outcomes.
I'll approach this analysis by first asking clarifying questions, then identifying the trade-off type, understanding the product ecosystem, formulating hypotheses, defining key metrics, designing an experiment, planning data analysis, creating a decision framework, and finally providing a recommendation with next steps.
I'd like to outline my approach to ensure we're aligned on the structure and focus areas of this analysis. Is this framework suitable for our discussion today?
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps understand the baseline and potential areas for improvement Expected answer: Basic blood pressure monitors, limited app functionality Impact on approach: Would inform the scope of potential enhancements
Why it matters: Aligns solution with business objectives Expected answer: Strong correlation between engagement and retention Impact on approach: Would prioritize features that drive consistent engagement
Why it matters: Ensures solution addresses needs of key user groups Expected answer: Primarily middle-aged and older adults with moderate hypertension Impact on approach: Would tailor features to this demographic's preferences and needs
Why it matters: Assesses feasibility and development effort Expected answer: Modular architecture with some legacy components Impact on approach: Would influence the complexity and timeline of app improvements
Why it matters: Helps allocate resources effectively Expected answer: Stronger software team, limited hardware expertise Impact on approach: Might lean towards app improvements unless hardware is critical
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