step 0 is realizing fried turkey is trash then either roasting it in the oven or smoking it on a smoker instead

"his giant head is like sputnik spherical in shape but quite pointy in places"

my assumption is users typically get a jolt from either adopting early or waiting too long to update, maybe 10% on each tail of the curve. Whether they like it or not is another question

80% are going to adopt new features as they become generally available, which should be a smooth experience /6

the book talks about jerk a lot, which is the rate of change of acceleration, or the 3rd derivative of position.

Is it a feature or a bug? should new tech, including updates, be so subtle we don't notice them or knock us out of our seats?

PD says it should be up to the end users
/5

yep that all tracks. I ❤️ the math when it holds & isn't a bunch of hand wavy BS 💯

I can keep playing with the vector idea I have some other tools it might mix well with

before I get too far down this rabbit hole I need to remind myself some of these are qualitative metrics & I can't assume the math will work out cleanly.

The unit vector for agency might be a real thing tho I'll need to mull it over /4

Progressive Delivery = (Abundance × Autonomy) / (Alignment × Automation)

my refactoring 👇

PD = individuals/people

or

abundance/alignment = demand

&

autonomy/automation = agency

agency sort of looks like a unit vector 🤔
/3

the 1st thing I noticed was the word "right" on the cover 3 times. The authors have done a solid job of framing some sociotechnical problems by the end of chapter 1 & they all have a lot of inertia & complexity on the social side. Interested to see how it gets addressed 🤔 /2

without love where would you be now?

youtu.be/m4tJSn0QtME

I literally saw your post & went to vote. One of the volunteers said they've been a lot busier than expected, then called me kiddo while handing me a sticker 😐