Use rapid logging to capture everything in real time

Log tasks, events, and notes instantly with a simple bullet shorthand, so nothing is held in working memory.

Why it works

Working memory has a limited capacity of roughly four chunks at a time. Holding tasks, events, and ideas in mind while simultaneously trying to act on other things increases cognitive load, reduces attention quality, and generates background anxiety about forgotten commitments. Rapid logging externalizes the holding function, freeing working memory for the task at hand — the same cognitive logic as the GTD capture step.

How to do it

1. Use three bullet types: a dot (•) for tasks, a dash (–) for notes, and a circle (○) for events.
2. Log the moment something occurs — do not pause to categorize or evaluate; capture now, organize later.
3. Keep it brief: each entry should be as short as possible while remaining unambiguous to your future self.

Evidence

The cognitive load and working memory basis of externalization is well supported: Zeigarnik effects (uncompleted tasks generate intrusive thoughts) and the benefits of offloading to external storage are documented in cognitive psychology. Rapid logging as a specific technique is practitioner-originated. Cowan (2001) puts usable working-memory capacity at roughly four chunks, and Risko & Gilbert (2016) show that offloading such demands to an external store measurably improves performance — the exact load that rapid logging removes. (mechanistic)

The Zeigarnik and Masicampo effects support externalization in general; the specific rapid-logging format (bullet types, shorthand) is practitioner design not independently tested.

Sources

• Zeigarnik (1938), on finished and unfinished tasks, in A Source Book of Gestalt Psychology
• Masicampo & Baumeister (2011), consider it done, Journal of Personality and Social Psychology
• Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114.
• Risko, E. F., & Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676–688.

Common mistake

Over-engineering the bullet taxonomy in the first week, adding so many symbols and categories that logging becomes slower than just thinking — the system works because it is fast.