The paradox is that scaling a team beyond the capacity of its information‑flow channels reduces output, even when each new hire is high‑performing. People assume more brains equal faster decisions, but the bottleneck lies in the medium that carries intent, context, and feedback. When a channel—Slack, email threads, or daily stand‑ups—hits its practical limit, every additional participant adds noise, forces repeated clarifications, and inflates the time needed to reach consensus.

A vivid illustration occurred in a mid‑size hardware startup in 2019. The engineering group grew from eight to twelve engineers while keeping a single “all‑hands” Slack channel for design discussions. Within weeks, the team’s sprint velocity fell by roughly a third, and a critical firmware release slipped two weeks. Post‑mortem interviews revealed that engineers spent half their day rereading long threads, asking “just to confirm” questions, and waiting for replies that were drowned in unrelated chatter. The root cause was not talent deficiency but the channel’s bandwidth being exceeded.

The remedy is not to prune talent but to restructure the flow: create focused sub‑channels, enforce concise updates, and deliberately limit the number of participants in any decision‑critical discussion. When the information stream matches the team’s size, coordination costs stay linear and the group can sustain its original velocity.