💯 A good advice: for your first real job, strive to screen for a great manager.

I know, easier said than done. Mostly because inexperienced workers don’t know how to tell a great manager from a bad one.

Here’s some tips to do that (thread)
1/ Good managers are clear.

During your job interview, ask questions on your future tasks and career opportunities.

If his replies are vague, it’s a red flag.
2/ Ask hard questions. Why do employees leave? What do employees complain about? What attitudes he likes *and what does he dislike*?

If he gets defensive, it’s a red flag.
3/ Talk about salary. Not necessarily on your first interview, but before knowing whether you’ll receive a job offer.

How the conversation goes will give you an idea of how future conversations will go.
4/ If your future boss doesn’t participate to at least one segment of the job interview, not even with a phone call, it’s a red flag.
5/ Ask him what’s his model employee like.

The worst answer is no clear answer.
6/ Of course, these few questions don’t pretend to identity good managers. But they should screen out at least a few bad ones.
7/ If you see a red flag, you can leave them the benefit of the doubt.

But remember: red flags cluster. You might be okay with the one you spotted, but there are probably others you don’t know about, and you might not be okay with those ones.

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More from @DellAnnaLuca

20 Dec
Often, people are unclear because they don’t want to be clear.

They want wiggle room.

This isn’t solved by working on clarity. Working on something that isn’t the bottleneck produces minimum change.

This is solved by removing the need for wiggle room.

Examples 👇
2/ First example: reasons why managers are unclear while giving orders Image
3/ Some more. The root cause to be addressed is not lack of clarity, but the middle column below. Image
Read 4 tweets
17 Dec
WHY IS ERGODICITY IMPORTANT? AN EXAMPLE

My cousin was born in a mountain village in the French Alps. Like many there, he learned to ski before reading.

I am a good skier, but I remember the humiliation when I was 14 and he was 6, seeing him surpass me, swift as a bullet.
2/ At a young age, he made it into the World Championships for his age bracket. Boy, he was fast.

His career came to an abrupt end a decade later, one injury at a time. First, he injured his ankle. Then, he broke his knee. A few more injuries later, he retired, too young.
3/ From him, I learned that the skiers that you see on TV, the fastest racers in the world, didn’t get there because they were the fastest.

They got there because they were the fastest of those who didn’t get injured into retirement.
Read 15 tweets
17 Dec
Why should companies care about laws if, when the way they conducted their core activity is found fraudulent, the fine is just 0.5% of their market cap?

(or ~8% of their revenues, annualized using Q2/20 as a basis)
8% of revenues is a fee, not a fine

(considering that it applies to the whole core business, not to just one transaction)
Read 5 tweets
17 Dec
A NON-BINARY VIEW OF ERGODICITY

From a mathematical point of view, a model describing an activity is either ergodic or isn't.

In real life, instead, it makes sense to describe ergodicity as a non-binary property.

Here is why.

Thread, 1/9
2/ Take two non-ergodic activities: crossing the street and skydiving.

For both, the outcome of performing them an infinite number of times is death.

However, it is intuitive to most that crossing the street is on a different risk category.

How to express this mathematically?
3/ People don't care about infinite time frames. They have limited life expectancy.

They do not care about the question, "does crossing the street have a chance to kill me?"

They care about, "does crossing the street have a meaningful chance to kill me within my lifetime?"
Read 10 tweets
17 Dec
Interesting!

During ⚡️ usage peaks, "the folks running the electricity grid would rather pay people to use less electricity rather than pay a power plant to turn on."

So this startup pays households to shut down their appliances during peak usage.

ohmconnect.com/how-it-works/w…
Example without the startup:

1) There's an electricity demand surge (too many people use ⚡️ at the same time)

2) The "normal power generation" is not enough.
The electricity company has to spend money to power a second generator (that pollutes more, btw)

3) That's expensive!
Example with the startup:

1) The grid sees high ⚡️ demand

2) The startup messages its users, asking them to shut down their appliances

3) The startup pays them, less than it would have costed to the power plant, and pockets the difference. Everyone wins.
Read 5 tweets
17 Dec
I’ve created a 7-days email series on the First Principle of Operational Excellence.

You can get it for free at Luca-Dellanna.com/best-practices

Here’s an excerpt of the second email.

(1/7)
(To get the email series, look for the “read the excerpt” headline about mid-page.)
3/ An excerpt of the third email
Read 4 tweets

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