Heuristics That Almost Always Work An Article by Scott Alexander astralcodexten.substack.com Sometimes there’s a Heuristic That Almost Always Works, like “this technology won’t change everything” or “there won’t be a hurricane tomorrow”. And sometimes the rare exceptions are so important to spot that we charge experts with the task. But the heuristics are so hard to beat that the experts themselves might be tempted to secretly rely on them, while publicly pretending to use more subtle forms of expertise. …Maybe this is because the experts are stupid and lazy. Or maybe it’s social pressure: failure because you didn’t follow a well-known heuristic that even a rock can get right is more humiliating than failure because you didn’t predict a subtle phenomenon that nobody else predicted either. Or maybe it’s because false positives are more common (albeit less important) than false negatives, and so over any “reasonable” timescale the people who never give false positives look more accurate and get selected for. expertiseheuristicsprediction
So that you can get feedback on it and make it better Fascinatingly, one of the other big complaints people had about agile is no iteration. I don't understand how being in an agile environment makes people less iterative, but somehow that seems to be the case. And I think it's because people misunderstand and think that agile is just about putting features out faster, and not about the important part, which is getting something in front of users faster so that you can get feedback on it and make it better. Laura Klein & Kate Rutter, Problems With Agile UX The most rewarding iterationsTo anticipate all the uses and abuses agileiteration