ML Model Performance Issue & Project Delay

You're leading the development of a new ML-powered recommendation engine, targeting a 90% user engagement lift. Mid-way through the 8-week build phase, initial A/B test results on a small pilot group show the model's performance is only achieving a 65% engagement lift, requiring significant algorithmic re-architecture and retraining estimated to add 4-6 weeks.

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