Lines of Drift
AI summary of the linked articleThe author argues that willpower is too unreliable to win the daily fight against distraction, so attention needs structural fixes, and describes applying the military concept of "natural lines of drift" to their own focus. Over a period of logging distractions, they found three main patterns: distractions usually begin mid-task when a notification or email interrupts, they tend to pull them into further content streams, and they are most likely during unstructured time, abstract goals, or moments of discomfort like hunger or tiredness. In response, they label risky actions such as opening their Farcaster feed or changing their YouTube soundtrack as high risk, predefine their morning routine, and start each two-hour work block with a concrete task tied to a metric. |
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2 comments Never heard about this concept before. Thanks @realcameron.eth for introducing it. It's pretty interesting from the product & growth POV. Apps have lines of drift. Keith Rabois once said that they doubled down on developing LinkedIn profiles after they noticed that users spend a lot of time checking their profile pages. Users also have lines of drift. They tend to spend more time in one place than another. For example, when Farcaster started growing, it created a new line of drift where many Twitter people started spending more time on FC. So, if you noticed this line early enough, you could've used it to grow awareness of your app (+/- what we did with Kiwi). Thanks @realcameron.eth for reminder on habit stacking. Will get back to it - ideal time now! |
