Introduction
The trade-off question at hand is whether Interos should prioritize expanding its supplier risk database coverage or improving the accuracy of existing risk assessments in its Resilience platform. This scenario involves balancing the breadth of data against the depth and precision of risk analysis. I'll approach this by examining the current product state, potential impacts, and strategic considerations to arrive at a data-driven 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 expansion vs. improvement Expected answer: We're on par or slightly behind in certain industries Impact on approach: If behind, might lean towards expansion; if ahead, focus on accuracy
Why it matters: Identifies the most pressing user needs Expected answer: Users find some assessments too generic or outdated Impact on approach: If accuracy is a major concern, it might take priority
Why it matters: Determines the feasibility of rapid expansion Expected answer: Current architecture can handle 2x growth without major changes Impact on approach: If scalable, expansion becomes more attractive
Why it matters: Helps align the strategy with our current capabilities Expected answer: Stronger in data acquisition, building risk modeling team Impact on approach: Might influence short-term focus while building long-term capabilities
Why it matters: Ensures alignment with broader product strategy Expected answer: New AI-driven risk assessment feature in Q4 Impact on approach: Could influence timing and priority of accuracy improvements
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