Introduction
The trade-off we're considering for Cribl Stream is whether to invest in developing more pre-built functions or improve the customization options for existing functions. This decision is crucial for the product's evolution and its ability to meet diverse user needs. I'll analyze this trade-off by examining the product context, potential impacts, key metrics, and experimental approaches to guide our decision-making process.
I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and constraints of this decision. Then, I'll walk you through my analysis framework, covering product understanding, trade-off impacts, metrics, experimentation, and ultimately, a recommendation with next steps.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps gauge competitive pressure and market opportunity Expected answer: Growing market share, competing with established players Impact on approach: Would influence whether to focus on differentiation or feature parity
Why it matters: Aligns product strategy with revenue goals and target markets Expected answer: Primarily enterprise licenses, targeting finance and healthcare Impact on approach: Would prioritize features most valuable to key verticals
Why it matters: Identifies which user group might benefit most from each option Expected answer: 60% pre-built, 40% custom, with enterprise users customizing more Impact on approach: Would help balance resource allocation between options
Why it matters: Assesses technical feasibility and potential development costs Expected answer: Modular system, but customization enhancements might require more work Impact on approach: Would influence development timeline and resource allocation
Why it matters: Determines if we have the right expertise and capacity for each option Expected answer: Shared resource pool with some specialization Impact on approach: Might need to consider team restructuring or hiring
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