Introduction
The trade-off we're examining today is whether Curve should prioritize adding more supported banks and cards to its app or focus on improving the stability and performance of existing integrations. This decision is crucial for Curve's growth strategy and user satisfaction. I'll analyze this trade-off by considering user needs, business objectives, and technical implications.
Analysis Approach
I'll start by asking clarifying questions, then identify the trade-off type, understand the product, form a hypothesis, define 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 the solution with revenue streams Expected answer: Revenue from transaction fees and premium features Impact on approach: Would influence whether to focus on volume (more banks) or retention (better performance)
Why it matters: Identifies key user pain points and priorities Expected answer: Power users switch cards frequently and face most integration issues Impact on approach: Would help prioritize stability for power users vs. expansion for new users
Why it matters: Assesses technical complexity and resource requirements Expected answer: Adding banks requires significant API work, while improving stability involves optimizing existing systems Impact on approach: Would influence resource allocation and timeline estimates
Why it matters: Determines our capacity to execute on either option Expected answer: Limited resources, with more focus on new integrations Impact on approach: Might suggest a phased approach or reallocation of resources
Why it matters: Balances short-term gains with long-term stability Expected answer: Aggressive growth targets for the next year, but increasing user complaints about stability Impact on approach: Would help prioritize immediate expansion vs. building a stable foundation for future growth
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