Join 📚 Felicity's Weekly Book Highlights
A batch of the best highlights from what Felicity's read, .
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
**Interesting connection to AI Training / Research:** The overall approach / objectives of the WBR seem very similar to how Ilya Sutskever described how they approach AI training / research. The focus is less on “new ideas,” and more on understanding the behavior of the system. Here’s the quote:
> “Coming up with new ideas is actually just a modest part of the work. Even more important is to understand the results…to understand what’s going on…figuring out the next experiment to run. A lot of the time is spent on that. Understanding what could be wrong, what could have caused the system (neural net) to produce a result which was not expected.”
The real driver of progress / execution / performance/ superior results comes *less* from the generation of the new ideas, *more* on the ability to understand WHY the outcomes are happening. To put it another way: the better you understand the system, the better your innovation and performance will be.
The Amazon Weekly Business Review - Commoncog
The Commonplace Community
With a strong customer, a clear mission, and metrics of success, the team is well set up to execute, driven by an intrinsic motivation.
Ask Your Developer
Jeff Lawson
...catch up on these, and many more highlights
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