In a feasibility phase with high uncertainty and misaligned sponsor expectations, the best way to deliver business value is to reduce uncertainty quickly through incremental delivery and learning. An MVP approach decomposes the work into smaller, testable outcomes that can validate assumptions, confirm sponsor alignment, and surface constraints early. This supports benefits realization and value-based decision-making: sponsors can see tangible results, refine targets, and redirect investment before large sunk costs accumulate. While risk mitigation planning (B) is important, it is not sufficient when requirements and targets are unclear—risks will continue to change until value is validated. Recommending predictive management (C) is generally less effective under uncertainty because it presumes stable scope and clear requirements. Securing sponsor commitment through the end (D) ignores the feasibility purpose: to determine whether to proceed, pivot, or stop based on evidence. MVP-based subdivision provides the fastest feedback loop and improves alignment, feasibility confidence, and value delivery.

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