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
Minimum Awesome Product An Article by Carlos Beneyto theuxblog.com Show image 0 Show image 1 Users are accustomed to a minimum of quality, and they expect that of all new products. If our product does not [meet basic expectations of quality], people will automatically believe that it is a bad product and they will not take it seriously. It is not what they expect. Hence my suggestion that the MVP has died and the MAP: Minimum Awesome Product was born. Understanding the Kano ModelDon't Serve Burnt PizzaWhat happens to user experience in a minimum viable product? qualityuxfeaturessoftware