In the context of managing a Machine Learning (ML) project aimed at forecasting customer churn, a team encounters a significant challenge. Midway through the project, they realize that the initial problem framing does not account for recent shifts in customer behavior, attributed to the launch of a new product. This oversight threatens the model's relevance and effectiveness. The team is under tight budget and timeline constraints but understands the importance of delivering a model that accurately reflects current customer dynamics. Considering these factors, which of the following actions should the team prioritize to ensure the model's success? (Choose two options if E is available, otherwise choose one.)