Introduction
The trade-off between expanding integration options and enhancing data accuracy and granularity for CB Insights's API offerings presents a critical decision point for our product strategy. This scenario involves balancing the breadth of our API's reach against the depth and reliability of the data we provide. I'll analyze this trade-off by examining the product context, potential impacts, key metrics, and experimental approaches to inform a strategic recommendation.
Analysis Approach
I'd like to outline my approach to ensure we're aligned on the analysis structure and key areas of focus.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps prioritize the trade-off against business objectives Expected answer: APIs contribute significantly to revenue and are a key growth driver Impact on approach: Would emphasize scalability and partner-centric features
Why it matters: Informs the balance between simplicity and advanced features Expected answer: Wide range of users from small startups to large enterprises Impact on approach: May suggest a tiered API strategy to address diverse needs
Why it matters: Assesses feasibility and potential technical debt Expected answer: Current architecture more flexible for integrations than data processing Impact on approach: Might prioritize data accuracy improvements if technically challenging
Why it matters: Determines feasibility of pursuing both options simultaneously Expected answer: Shared resources with competing priorities Impact on approach: May need to choose one direction to focus on initially
Why it matters: Helps prioritize short-term vs. long-term strategies Expected answer: Increasing competition in the API space, potential large partner in Q4 Impact on approach: Might favor quicker wins in integration if partner opportunity is significant
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