Introduction
For Lifion's employee engagement features, we're facing a critical trade-off between developing more sophisticated analytics capabilities and expanding our range of pre-built survey templates. This decision will significantly impact our product's value proposition and user experience. I'll analyze this trade-off by examining our product context, identifying key metrics, designing experiments, and providing a data-driven recommendation.
Analysis Approach
I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and objectives of this decision. Then, I'll walk you through my analysis framework, covering product understanding, hypothesis formation, metrics identification, experiment design, and decision-making process.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps frame the trade-off within our competitive landscape Expected answer: Confirmation of Lifion's focus and insights on market position Impact on approach: Would influence whether we prioritize differentiation or feature parity
Why it matters: Aligns product decisions with revenue goals Expected answer: Details on how analytics and templates factor into pricing Impact on approach: Would guide whether to focus on high-value analytics for enterprise clients or broader template offerings for SMBs
Why it matters: Ensures we're addressing the most pressing user needs Expected answer: Breakdown of feature requests by user segment Impact on approach: Would help prioritize development based on user demand and potential impact
Why it matters: Helps evaluate the feasibility and resource requirements Expected answer: Comparison of technical complexity and resource needs Impact on approach: Would influence timeline and resource allocation decisions
Why it matters: Ensures alignment with broader company strategy and timing Expected answer: Information on relevant deadlines or strategic goals Impact on approach: Would affect the proposed timeline for implementation and testing
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