thegrim33
8 hours ago
An AI-generated article which summaries a pre-print release which surveyed 15 people at 15 companies about their thoughts on whether the arrangement was working for them. Of those 15, a grand total of 6 (unidentified) people at 6 (unidentified) companies (all in the same country), said they "thought" productivity had increased. Not a single data point was taken about whether it actually increased. The questions that these 15 people were asked was not disclosed.
An informal survey, of unknown content, of 15 unidentified people, with 6 of those people being in the "boosts productivity" camp. Cool beans. I guess that settles the matter once and for all.
jkldotio
6 hours ago
It's 15 companies that adopted a technique and it's part of a broader constellation of experiments in this area which have been confounding the traditional logic that productivity would decrease. https://www.4dayweek.com/research
The people representing the businesses in the preprint hold titles like co-founder, CEO/founder, COO, General Manager, and CEO. The size of the business and sector are also noted. I think your framing of them as "unidentified people" is therefore off, it is certainly not the same as a journalist conveniently using "unnamed sources", this is standard academic practice.
Different companies measure different things, but they do measure and that is addressed in the paper. "revenue (DM10), profit (DM4), other financial targets (DM2, DM6), customer/client satisfaction ( DM8, DM6), story points (DM14), sprint goals (DM7), billable hours (DM12), capacity ( DM4), response rates (DM10), standard operating procedure metrics (DM9), sick leave (DM1, D M 4. DM9, DM15), lodgements (DM12), employee happiness (DM6, DM15), projects delivered on time (DM15), and net promoter score ( DM4)". There were also other benefits like hiring and retention.
So this is not what "unidentified people" "thought" about productivity, this was founders and the c-suite using their existing favoured metrics. On those metrics a large number of them reported an increase in productivity, and a larger group reported no deleterious effects on productivity. This is broadly consistent with the trends in the wider research into this area globally, which continually go against the predictions that productivity will drop. Is it universally applicable? I don't think anyone is claiming that.
I've followed this area for a while and, sorry to be impolite, it is your summary that is less accurate than the the one you accuse of being AI-generated.
csallen
an hour ago
Having read all of the above, I think it is fair to say that this is a study about what these people "thought." Just because their thought involves some homegrown, personally-favored metrics, doesn't change the fact that this is a qualitative survey report.