Readit NewsI’ll keep Jira updated at the end of the day because the PMO organization needs that for tracking and even we need that for coordination. But I am going to put in 40 hours at the end of the week.
No I’m not going to track hours I spent on internal meetings, conducting interviews and the other internal minutiae that takes up my day.
The company only makes money when I’m billing a client - that’s what I’m tracking - my results. Is the company making money on me and am I getting positive feedback from sales, my teammates and the customer.
The CEO at my last company (2022) refused to use Let's Encrypt because "it looked cheap to customers". That is absurd to me because 1), it's (and was at the time) the largest certificate authority in the world, and 2) I've never seen someone care about who issued your cert on a sales call. It coming from GoDaddy is not a selling point...
So my question: has anyone actually commented to you in a negative way about using Let's Encrypt? I couldn't imagine, but curious on others' experiences.
I still find it too much of pain in the ass to deal with to justify for my personal stuff. Easier to just click through the warning every time.
At least in my company we've stopped calling them "estimates". They are deadlines, which everyone has always treated "estimates" as anyway.
Unfortunately in the real world deadlines are necessary. The customer is not just mad that they didn't get the shiny new thing, especially in the case of B2B stuff, the customer is implementing plans and projects based on the availability of X feature on Y date. Back to the initial point, these deadlines often come down to how quickly the customer is going to be able to implement their end of the solution, if they aren't going to be ready to use the feature for six months there's no reason for us to bust our asses trying to get it out in a week.
This artificial creativity will only go so far, because it's a simulated semblance of human creativity, as much as could be gathered from training data. If not continually refueled by new training data, it will run out sooner or later. And then it will get boring really quickly.