As the principal project manager, I will adopt a data-driven strategy to assess the viability of Uber Freight. I will begin with a market analysis to understand the major competitors, market trends, freight volumes, and average pricing. With this insight, we can identify an appropriate minimum viable product (MVP), ideally a two-sided platform that connects shippers with transporters. For testing, I would select a small, manageable geographic area to launch the MVP, ensuring a balanced representation of both carriers and shippers for an equitable marketplace. The metrics I will monitor include the number of shippers and carriers registering on the app, the volume of shipments posted and accepted, the average transportation cost, and user feedback. To assess success, we can measure transaction volumes and conduct cohort analysis to evaluate retention and repeat business rates. Additionally, I would track the cost of acquiring users, the time required for onboarding, and the actual usage rate after onboarding. By the end of six months, we should have collected sufficient data and feedback to iteratively improve our product and draw insights regarding its scalability and long-term viability.