themcgruff

I did it to learn about rlms. But also I've tested it a bit with some openclaw style bots and it works well.

(I run our Ops team.) The time burden goes down with the more people we have. It's still a burden though -- and our compensation (in theory) reflects that.

FWIW We're doing everything we can to make this "work hours only" M-F, which we could solve by hiring tons of people immediately, but we also have other ideals like keeping the company as small as possible that we want to realize too.

There's an open and ongoing discussion about making improvements in this area and I'm thankful that David and Jason have been receptive to many of the suggestions I, or anyone else on our team has had.

My personal stance is that we should do everything we can to give Ops a 40 hour work week that's during regular working hours and no more, even if that means people get cut a lot of extra slack to recover after a late night page, etc. (Hopefully our team would back me up in saying I encourage people to take reasonable time to make up "lost" hours.)

(Also fwiw, I participate equally in the on call rotations.)

Thanks for your feed back. It's understandable that this might be too much for some people.

To date, we've had a single person skip those questions and still submit. This person was not a qualified applicant.

Based on the applications we've received this very minimal list of requirements appears to be working as desired. We're interested in employees who are going to do the best work of their careers. I'm okay with having a slightly higher bar (in terms of application effort) for that type of person.

(Full disclosure I work with the author, Noah, at Basecamp.)

Not sure if more important than math, but you are right it's extremely important.

One of the biggest on going problems we have isn't getting data in -- it's helping everyone get data out. Even with training sessions, documentation, and some fairly fleshed out "self help" tools, there is still confusion about where to look and how to "find" and "combine" the right data to answer a given question.

One of the ways we've partially solved this problem is through Tableau which is a commercial solution. (I was skeptical about whether we would stick with solutions like Tableau but it has been worth every penny.)