Introduction
The trade-off between expanding AI-generated content capabilities and improving existing language models for current clients is a critical decision for Persado. This scenario involves balancing innovation with customer satisfaction, potentially impacting revenue streams and market position. I'll analyze this trade-off by examining product understanding, metrics, experimentation, and decision frameworks to provide a strategic recommendation.
I'd like to outline my approach to ensure we're aligned on the key areas I'll be covering in my analysis.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps assess the urgency of innovation versus consolidation Expected answer: We're a market leader with 30% share, but competitors are catching up Impact on approach: Would prioritize innovation if market position is threatened
Why it matters: Balances focus between retention and growth Expected answer: 70% from existing clients, 30% from new business Impact on approach: Would lean towards improving existing models if retention is critical
Why it matters: Indicates urgency of improving current models Expected answer: NPS of 40, with some clients requesting improvements Impact on approach: Would prioritize model improvements if satisfaction is declining
Why it matters: Assesses feasibility of expansion without major infrastructure investments Expected answer: Current systems at 60% capacity, can handle 30% more load Impact on approach: Would favor expansion if technically feasible without major upgrades
Why it matters: Determines our capacity to pursue both strategies simultaneously Expected answer: 60% researchers, 40% client-facing developers Impact on approach: Would influence resource allocation for chosen strategy
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