Thinking in Maximums 13 minutes read.
Arjun Shah captures the notion of maximal thinking well in this paragraph: "big thinking uses data to validate or refine a path toward an ultimate goal. Minimal thinking uses data to guess whether a small product is worth keeping around for another round of iteration. One has the capacity to shape entire industries, while the other might produce fleeting hype that disappears after the next pivot. This dynamic has real consequences for employees, as well. Work cultures that focus on constant short sprints can breed burnout. Engineers come to see their labor as disposable. Projects start and die with whiplash speed. When there is no overarching aim, workers eventually lose morale. Companies that think in maximums, by contrast, tend to inspire loyalty."
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