I’m curious if any of the researchers/research managers/academics/etc here a) read High Output Management b) basically believe in High Output Management’s core ideas and c) have thoughts on how should it be adapted to research.
The core idea there is the production process:
”Deliver an acceptable product at the scheduled time, at the lowest possible cost.”
The arguments there seem plausible and Andy Grover showed ingenuity in adapting the general idea into detailed stories for very different processes (eg running a restaraunt, training salespeople, prisons, etc), but intuitively it does not naturally lend itself to have a good process/analogy for a situation where you’re pulling from a very right-tail-heavy distribution.
So I’m interested in if other people on the Forum have creative/fitting ideas on how the ideas are better adapted to research, or alternatively, if they think the gap is just too wide to be useful.
I’m curious if any of the researchers/research managers/academics/etc here a) read High Output Management b) basically believe in High Output Management’s core ideas and c) have thoughts on how should it be adapted to research.
The core idea there is the production process:
”Deliver an acceptable product at the scheduled time, at the lowest possible cost.”
The arguments there seem plausible and Andy Grover showed ingenuity in adapting the general idea into detailed stories for very different processes (eg running a restaraunt, training salespeople, prisons, etc), but intuitively it does not naturally lend itself to have a good process/analogy for a situation where you’re pulling from a very right-tail-heavy distribution.
So I’m interested in if other people on the Forum have creative/fitting ideas on how the ideas are better adapted to research, or alternatively, if they think the gap is just too wide to be useful.