Introduction
To improve MBI's risk assessment tools for better prediction of potential financial threats, we need to analyze the current product, understand user needs, and develop innovative solutions. I'll approach this by examining user segments, identifying pain points, generating solutions, and proposing metrics for success.
Step 1
Clarifying Questions
Why it matters: Determines if we focus on differentiation or catching up to competitors Expected answer: MBI is a market leader but facing pressure from agile fintech companies Impact on approach: Would emphasize innovation and rapid iteration in our solutions
Why it matters: Helps prioritize between improving sensitivity or specificity Expected answer: False positives are currently a bigger issue than false negatives Impact on approach: Would focus on reducing false alarms without compromising threat detection
Why it matters: Determines if we need to focus on data freshness or analysis techniques Expected answer: Data is updated daily, but processing delays cause lag in threat detection Impact on approach: Would prioritize real-time data processing and analysis capabilities
Why it matters: Influences whether we need to focus on localization or global standardization Expected answer: Tools are primarily designed for North American markets Impact on approach: Would emphasize expanding geographical coverage and incorporating regional risk factors
At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.
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