A library holds a prioritized backlog for a catalog mobile app and wants an adaptive forecast of when remaining work might finish. Which input best supports that forecast?
Select an answer to reveal the explanation.
Short Explanation
Velocity is like your average miles per tank—use recent trips to guess the rest of the road. Adaptive forecasting leans on that empirical trend, not only a frozen baseline. Target dates without throughput are just wishes.
Full Explanation
Adaptive forecasting commonly uses historical velocity or similar throughput trends to estimate how many iterations remaining backlog may require. A static predictive baseline without empirical delivery data is a weaker primary input for iterative work. CAPM-level practice favors evidence-based trends over date mandates that ignore completed increments.