There is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas.
Walking intrigues the deskbound. We romanticize it, but do we do it justice? Do we walk properly? Can one walk improperly and, if so, what happens when the walk is corrected?
This talk centered on Hamming's observations and research on the question "Why do so few scientists make significant contributions and so many are forgotten in the long run?"
Scrum does not say “only focus on output”, but, unfortunately, humans will optimize for what they measure.
If you worry about story points & hitting your estimations, that’s what is going to consume your attention. That is what you and your team will optimize for.
And that is the core critique of Scrum as it is practiced: That it focuses a product team’s attention so heavily on delivery — on building lots of features quickly & efficiently — that teams fail to focus on spending time to discover what the right thing to build is.