Problem Statement:

Teams supporting national security decision-makers needed to drastically reduce the time spent curating news—consuming up to 24 hours—while ensuring only the most relevant news reached the decision-makers' desk.

 

Resolution:

I led the creation of a digital attack team composed of a product manager, designer, engineer, and technology scout. The team conducted over 50 interviews across the national security establishment, identifying and validating underserved and latent customer needs.

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Using these insights, the team ran design sprints to define a curation solution, testing low-fidelity prototypes with users for rapid validation. To develop the machine-learning algorithm, we launched a nationwide hackathon, crowdsourcing innovation instead of relying on traditional defense contractors—saving billions.

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The result: a machine-learning-driven solution that reduced daily information curation time from 24 hours to under 1 hour, significantly enhancing decision-making efficiency for national security leaders.