The instinct to celebrate a swift “yes” mirrors traffic engineers who love a long green light, but the analogy flips when you consider the downstream lane. A rapid approval feels like progress, yet it often pushes work onto a bottleneck that has not yet cleared its own queue, forcing the downstream team to scramble, re‑prioritize, and ultimately delay the whole system. The reason it hurts is simple: speed without capacity awareness creates a mismatch between inbound demand and processing bandwidth, inflating work‑in‑progress and amplifying coordination friction.

In a product studio, a senior manager announced a new feature request, and within minutes the design lead received a green‑light email. The design sprint began, but the engineering team was already juggling two critical releases. When the designers delivered mock‑ups, developers had to pause their current sprint, shuffle priorities, and re‑estimate, stretching the release calendar by weeks. The initial “fast approval” win turned into a hidden cost that rippled through the release pipeline, eroding velocity for everyone else.

The pattern repeats across organizations that reward speed of sign‑off instead of alignment of capacity. When the metric of “approval time” outranks “throughput consistency,” teams learn to chase the green light, not the smooth flow of work. The real lever is to synchronize the green light with the downstream lane’s readiness, turning the signal into a coordination cue rather than a race starter.