2/ Both "deep work" (large batch) and "multitasking" (small batch) miss the point in this regard
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Replying to @fortelabs
3/ The absolute size of your work batches doesn't matter, and a wide range of sizes is probably best
1 reply 3 retweets 41 likes -
Replying to @fortelabs
4/ But if u don't end your cycle with a clear deliverable, you're de-optimizing the next cycle before it's even begun
1 reply 8 retweets 75 likes -
Replying to @fortelabs
5/ You'll either have to spend the entire next cycle tying up loose ends of previous one, OR remembering what you started in previous one
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Replying to @fortelabs
6/ Latter is not as innocuous as it seems. Its difficult to pick back up smthg that was begun, but not brought far enough 2 reduce ambiguity
1 reply 5 retweets 40 likes -
Replying to @fortelabs
7/ You're left with the constraints of previous work session, but w/out benefits of clearly defined next steps
1 reply 3 retweets 36 likes -
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8/ But it goes deeper. By finishing w/ an artifact, physical or conceptual or visual, you have something to ponder between sessions
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9/ The mind cannot creatively ponder messy work-in-process. Occurs as a morass of open loops, no anchor to push back on
1 reply 5 retweets 78 likes -
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10/ A deliverable is a thingified idea - it provides distinctions, decisions, constraints, affordances that can be embraced, or rejected
3 replies 12 retweets 67 likes -
Replying to @fortelabs
11/ Thingified ideas provide another benefit in rapidly changing, networked world: u can get feedback on them, improving orientation
2 replies 8 retweets 44 likes
@naval reified* , thingified "verdingung" only works in German.
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