What does it mean that bottleneck prevention?

Design systems with extra capacity at known bottleneck points.

Example: You run a weekly content pipeline: research Monday, draft Tuesday, edit Wednesday, publish Thursday. Every few weeks, something disrupts Wednesday — a dentist appointment, a family obligation, an energy crash after a bad night of sleep. When editing slips, publishing slips, and you miss your Thursday deadline. You have zero buffer at the constraint. So you redesign: you move editing to Tuesday afternoon through Wednesday morning, giving yourself a 20% time buffer on either side. You also pre-edit one extra piece during high-energy weeks, creating a stock buffer — a finished piece sitting in reserve. The next time Wednesday collapses, you publish the reserve piece without breaking stride. The system did not get faster. It got resilient. You built protective capacity around the point that was most likely to fail.

Try this: Identify the single step in your most important workflow that fails most often or degrades most under pressure — your known constraint point. Design three buffers for it: (1) a time buffer — schedule 20% more time than the step typically requires; (2) a stock buffer — maintain one completed output from this step in reserve, ready to deploy if the step fails; (3) a capacity buffer — identify one alternative method or person who could execute this step if your primary approach breaks down. Implement the time buffer this week. Build the stock buffer over the next two weeks. Document the capacity buffer so it is available when you need it.