I wonder whether one post-pandemic change in how things work is going to be continuing the new (lower) level of call center staffing for e.g. banks and air carriers.
It's been about 15 months of "We're experiencing elevated hold times" being constantly plastered across digital channels and rather aggressively trying to move routine inquiries to apps.
And while there was certainly an actual operational necessity to limit the number of reps per floor, the vaccination progress through the U.S. should have at least U.S.-based call centers OK to operate at normal capacities by this point.

I think some firms prob choosing not to.
Thought inspired by a couple of interactions recently with firms where previously part of the reason to concentrate one's business was "They pick up on first ring, every time" and now they seem to be walking back that expectation materially.
Though in fairness to one of them, for the first time ever, the thing I always needed to call them to do could actually be done in exactly the way their recorded messaged tried to divert me to, in seconds, for free.

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More from @patio11

26 May
This is a fascinating little question and instructive, so a quick thread about it:
The "knowledge management" problem is one of the hardest ones at companies. A great, great many tools purport to solve bits of it.

Most of the work is actually done by people more than it is by processes or technology, though those exist.
The instant case is sort of the easiest possible one, in that there is a known timeframe, a known bit of data, and a relatively known impact to that data being stale, and a known scope of work in updating it.

There are other, more interesting variants of this.
Read 14 tweets
26 May
Periodic VaccinateTheStates.com update: we're at more than 70k locations tracked.

Many of the last 25k locations we've ingested have been in underserved neighborhoods. A huge amount of these are downstream of community contributions of scrapers.
If you've got some cycles free (takes a few minutes to an hour for most of them), we've got a pipeline up and running and Github issues tracking exactly what code at which points would unblock more of these locations getting published.

github.com/CAVaccineInven…
Most people who learn about vaccination sites through this work will not see it on our website, but will see it through a publishing partner. We work with the largest publishers in the world and federal, state, and local government entities throughout the country.
Read 4 tweets
22 May
Does anyone think that Tether, or their alter ego at Noble Bank, has recently hired a small army of treasury professionals, sales reps, ops people, and backoffice required to make this happen?

It feels a bit questionable to me.
An interesting thing about money movement is that it isn't purely scale-invariant: a billion here, a billion there, eventually you start to run into things which aren't just "Write a bigger number into the same box you used last time."

More contras. More paperwork. More regs.
There's someone feverishly preparing at this moment to roll *checks notes* something like a billion dollars of paper on Monday, right? And then on Tuesday, Wednesday, etc etc?

Who is that person? Who employs them? Who manages them? Where is the infra required to do this?
Read 5 tweets
21 May
An interesting thing about watching video game streaming where streamers verbalize their logic as to strategy is that you realize that the population-wide distribution of analytical ability is wider than you remember it being.
Streamer: *articulates reason why Path A has 10X expected value of Path B*
Me: Got it.
Streamer: “Went down A last time so let’s see what is down B.”
Me: Wait no there is no hidden information here; you did the math right.
Streamer: Oh I died.
Me: Of course you died.
“I wonder how this mechanic works.”
“This core game mechanic which has been the same for the last 90 minutes? And was explained in tutorial?”
“I think *hypothesis*.”
“You could confirm that in approximately 5 seconds if the last 5 minutes hadn’t refuted it at least 12 times.”
Read 4 tweets
20 May
This is directly downstream of the difficulty of measuring capital accumulation, particularly for owners of a) real estate and b) small businesses, perhaps exacerbated by economists just not really experiencing reality of not being a W-2 employee that frequently.
According to basically every formal measure of wealth in the United States I was in the "poorest" 1% of the population for all but 2 years of my career.

"Ahh you owe $100k in unsecured debts and own a small business + a Twitter account; net worth -$100k." "Umm" "We are experts."
"You're a really weird case, Patrick."

OK, an easier case:

You owe $250k of student loans, have just finished your medical residency, and have an offer letter in hand guaranteeing a $300k per year salary as a surgeon.

You are a) in poorest 1% or b) richest 1%?
Read 4 tweets
19 May
I think 98% of uses of the word "algorithm" in popular press would be improved upon as "[Company] decided to..."
Sometimes your decision processes are opaque. Sometimes they're unfair. Sometimes you know these downsides, but they're cheap to execute, and to do business at your scales cheap to execute is a hard requirement.

OK! But! Still a choice! Was always a choice!

And conversely:
Sometimes companies will not do things that people want to do. If an "algorithm" or automated email delivers the bad news, sometimes various parties will say "No, that's unfair."

Sometimes sorting processes and decisioning processes are actually extremely, provably fair.
Read 4 tweets

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