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True, both people and organisations have to remember things. But when it comes to organisations, I think the existence of a separate task called "note taking" is often a symptom of slow software development and data modeling.

Individuals sometimes take notes to collect random ideas. That's fine. I do that too. No one other than myself could ever make sense of my notes though, and sometimes not even I can.

When organisations take notes in prose form, it is unlikely that anyone will ever have time to read them in order the extract the parts relevent for a particular task. There are of course exceptions. Someone will surely read the FOMC minutes.

There has to be a deliberate process of modeling and collecting structured data so it can be queried and transformed into something that facilitates specific decisions. At that point, it's no longer called note taking.

In my view, it is this sort of ad hoc data modeling that is too inefficient right now. It's something I'm on working on, but I can't claim to have found any silver bullets yet.



> There has to be a deliberate process of modeling and collecting structured data so it can be queried and transformed into something that facilitates specific decisions. At that point, it's no longer called note taking.

This is one of those aspirational things that should exist, like automated testing. In practice, many places are just reliant on people knowing stuff.




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