Whether implementing change big or small, or fast or slow, the underlying nature of ∆ is continuous. To keep up we must iterate, taking our learnings from each iteration and feeding into the next. The size of your goals and time-length of each iterative SPIRAL depends on the scenario. Small iterations tend to lead to quick, steady, predictable progress, but are always feasible given the demands and constraints at hand.
