Worst meeting I’ve been in?

Transitioning from an old system, the CEO said “We will transition on June 30th of next year or … heads … will … roll.”

Everyone knew what ‘heads will roll’ meant.

I wasn’t particularly worried because 90% of my work would be completed by December, the rest would be completed by the users (data transfers, etc.). Realistically, no reason we couldn’t transition by April or May.

June 15th comes around – CEO calls a meeting (managers, VPs, kind of a big deal) because we’re nowhere close to turning on the new system. Needless to say, I was a bit nervous, but my part had been done since November. I worked late nights, weekends, early mornings…I killed myself making sure the system was 100% ready.
CEO starts asking the different managers about what is taking so long…
Mgr-1: ”Well, we aren’t easily able to map our old customer records into the new system. The new system is too hard to use and taking a long time.”
Mgr-2: “We can’t reconcile until the customer records are in the database.”
Mgr-3: “We can’t proof the purchase orders until the customer accounts are reconciled.”
The ‘waiting on him/her’ excuse went around the room.
At this point, couple of the VPs look over at me …I felt like I just turned white …oh crap…I’m going to get fired because all these –bleep-holes just threw me under the bus.
CEO listens…nods…looks at my boss..
CEO: “OK, move the due date out 6 more months. Have your team help out in any way they can. I want this new system working correctly no matter how long it takes. If we need to move the date again, we just do.”

Part of me was relieved, other part was looking for a flame thrower. I worked myself to the bone, risked my marriage (in hindsight, I was not a nice person to her during that time), probably had an ulcer, and these sorry excuse for human beings dragged their asses for months and there was zero accountability.

That meeting was over 15 years ago and it bothered me so much I still remember the CEO was wearing a green button up shirt, khaki pants, and drinking coffee from a Break Time coffee cup.

Upside? Over the next couple of years, every one of those managers either quit or got fired.

I recently tried to apply the same data analytics rationale that I use at work to my personal life. This is not a rant, it is more like an data storytelling of an actual use case I would like some input on.

I set a goal - gotta thin up a bit and calm down my ticker - and got a (almost unreasonably expensive) field expert consultant to yell at me about it for a couple hours.

I unravel the metrics - there is like a million weight-related KPIs and most say nothing at all. I have never seen an non-infrastructure measurable subject that could not be resumed to 2-5 performance metrics. I got overall weight, how well my nine-years-old business suit fits me, heart rate, and day-after relative muscle pain (it will make sense soon).

Then its data-pipeline time. I bought a cheap weight scale and smartwatch, and every morning I input the data in an app. Yes, I try to put on the suit every morning. It still does not fit.

After establishing a baseline, I tried to fit different approaches. Doing equipment-free exercises, going to the gym, dieting. None was actually feasible in the long run, but trying different approaches does highlight the impacts and the handling profile of each method.

Looking at the now-gathered data, one thing was obvious - can't do dieting because it is not doable to have a shopping list and meals for me and another for the family.
Gym is also off the table - too much overhead. I spend more time on the trip there and back than actually there.
And home exercise equipment is either super crappy or very expensive. But it is also the most reasonable approach.

So it is solutions time. I got a nice exercise bycicle (not a peloton), an yoga mat (the wife already had that one) and an exercise program that uses only those two resources. Not as efficient without dieting, not as measurable and broad as the gym, but it fits my workflow. Deploy to production!

A few months pass and the dataset grows. The signal is subtle but has support - it works! The handling, however, needs improvement, since I cannot often enough get with the exercise program. Some mornings are just after some hard days.

I start thinking about what else I can improve in the program, but it is already pretty lean and full of compromises.
So I pull an engineer and start thinking about the support systems and draft profile. What else could be draining my willpower and morning time?

Chores. Getting the kids ready for school, firing up the moka pot, setting the off-brand roomba, folding the overnight-dried clothes, cooking breakfast, doing the dishes, cleaning the toilets. All part of my morning routine. It might benefit from some automation.

Last month I got that machine our elders call "wasteful" and "useless crap lazy entitled Americans invented because they feel oh-so-insulted for simply doing something by hand like everyone always did" - a "dish-washer".
Heh, I remember how hard was to convince my mother-in-law that an remote-controled electric garage door would not make she look like an spoiled brat.
Still to early to call, but I think that the dishwasher just saved me about 25 mins every morning. It might be enough to save willpower for me to do more exercise.

This is all so reflective of all data analytics cases really are out in the wild - the analytics phase seems so small compared to the gathering and practical problem-solving all around. And yet d.a. is what tells you that you are doing the wrong thing all along. Or on what you should work next.

Anyone else find they work better between the hours of say 10am - 2am rather than the "normal office hours" of 9am - 5pm?
The problem is if I start later then the people who I work with are so absorbed in their work that I don't receive a reply to my email.

Mornings. Not just the run of the mill “I’m not a morning person” but I legitimately would be more productive if I could work night shift. It’s easier to think at night, and easier to sleep during the day. Not just a night owl, but it’s hard to breathe laying down at night sometimes. Sometimes I randomly can’t sleep. I’ve never had this trouble during the day during the occasions I get to sleep for long periods during the day. The morning is prime sleeping time IMO. Not wanting to wake up is one reason, but the changing weather helps and it just feels right.

I also don’t feel awake til the afternoon usually. Even if I get enough sleep and coffee. Code churns slow in the a.m.

I dream of night time being work time with long, restful naps durning the day. I feel more creative at night, and it’s easier to focus. There’s less thought of “oh it’s a nice day I should do x”

Just sucks that it’s not largely accepted and there’s not enough other night hawks to hang out with on my off days. And my work won’t let me do such a schedule. Everyone is an insufferable morning person.

Early to bed early to rise is a load of shit. We should be allowed to sleep at times it makes us happy.