Introduction
The trade-off we're examining today is whether Cityblock should prioritize scaling its technology platform to serve more members or focus on deepening services for existing high-need patients. This scenario touches on the classic product dilemma of growth versus depth, particularly in the healthcare technology space. I'll analyze this trade-off by examining the business context, user impact, technical considerations, and resource implications to provide a strategic recommendation.
I'll start by asking clarifying questions, then identify the trade-off type, analyze the product, and develop a hypothesis. From there, I'll define key metrics, design an experiment, plan data analysis, create a decision framework, and finally provide a recommendation with next steps.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps align our strategy with the business model Expected answer: Revenue tied to both member count and health outcomes Impact on approach: Would influence balance between growth and service depth
Why it matters: Informs resource allocation and potential impact of focusing on high-need patients Expected answer: 20% of patients consume 80% of resources Impact on approach: Might justify deeper focus on high-need patients if disparity is extreme
Why it matters: Helps assess the effort required for scaling versus deepening services Expected answer: Platform needs significant upgrades for scalability Impact on approach: Could influence timeline and resource allocation for scaling option
Why it matters: Helps determine which option aligns better with our current capabilities Expected answer: Stronger technology team, healthcare delivery team at capacity Impact on approach: Might favor scaling technology if tech team has more bandwidth
Why it matters: Helps prioritize short-term versus long-term strategies Expected answer: Upcoming open enrollment period or regulatory change Impact on approach: Could necessitate a phased approach or influence prioritization
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