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Three helpful lines of questioning to strengthen your scope:
When someone decides to buy and read your book, what are they trying to achieve or accomplish with it?
Why are they bothering?
After finishing it, what’s different in their life, work, or worldview?
That’s your book’s promise.
What does your ideal reader already know and believe? If they already believe in the importance of your topic, then you can skip (or hugely reduce) the sections attempting to convince them of its worth. Or if they already know the basics, then you can skip those.
Who is your book not for and what is it not doing? If you aren’t clear on who you’re leaving out, then you’ll end up writing yourself into rabbit holes, wasting time on narrow topics that only a small subset of your readers actually care about. Deciding who it isn’t for will allow you to clip those tangential branches.
Write Useful Books
Rob Fitzpatrick und Adam Rosen
Committed vs. Aspirational OKRs
OKRs have two variants, and it is important to differentiate between them: Commitments are OKRs that we agree will be achieved, and we will be willing to adjust schedules and resources to ensure that they are delivered. • The expected score for a committed OKR is 1.0; a score of less than 1.0 requires explanation for the miss, as it shows errors in planning and/or execution. By contrast, aspirational OKRs express how we’d like the world to look, even though we have no clear idea how to get there and/or the resources necessary to deliver the OKR.
• Aspirational OKRs have an expected average score of 0.7, with high variance.
Measure What Matters
John Doerr
The reason people make this mistake? Few have discovered AI’s premier use case: as a thought partner.
I’ve personally taught more than 2,000 early adopters about AI (and Section has taught over 15,000). Most of them use AI as an assistant — summarizing documents or contracts, writing first drafts, transcribing or translating documents, etc.
But very few people are using AI to “think.” When I talk to those who do, they share that use case almost like a secret. They’re amazed AI can act as a trusted adviser — and reliably gut-check decisions, pre-empt the boss’s feedback, or outline options.
Thought Partner
Scott Galloway
...catch up on these, and many more highlights
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