Introduction
To improve Neustar's CallerID Name (CNAM) service for better combating phone fraud and scams, we need to analyze the current system, identify pain points, and develop innovative solutions. I'll approach this by examining user segments, analyzing pain points, generating solutions, and proposing metrics for measurement.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the baseline for improvement and helps identify the most pressing areas for enhancement. Expected answer: 70-80% effectiveness rate Impact on approach: Would focus on improving accuracy and reducing false positives/negatives
Why it matters: Helps determine if we need to focus on increasing adoption or improving the existing service Expected answer: 60% of calls utilize CNAM, 40% of users actively check Impact on approach: Would influence whether to prioritize feature improvements or user education
Why it matters: Ensures our improvements target the most relevant and current threats Expected answer: Increase in AI-powered voice cloning scams and sophisticated spoofing techniques Impact on approach: Would focus on developing advanced detection methods for these new threats
Why it matters: Ensures our improvements align with and support the company's strategic direction Expected answer: Upcoming partnership with a major telecom provider for enhanced data sharing Impact on approach: Would explore ways to leverage this partnership in our solution
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