Reading reasons off a list may not help the less sane (or simply a small fraction of decision mistakes in a large population) from proceeding anyway, and i’m very biased towards my approach.
Basically, technical excellence, having previously created a profitable product as spin off from a hobby, having positive feedback on products of the hobby, if that is present, the success is much more likely than average, especially if you stick to the customers whom you understand.
I’d be very skeptical about practical ways to apply explicit rationality to anything but ordering of the todo list, sorry. There isn’t a lot of data, and even though Bayesian statistics looks like garbage-in-best-conclusions-out process, it is still a garbage-in-garbage-out process.
Reading reasons off a list may not help the less sane (or simply a small fraction of decision mistakes in a large population) from proceeding anyway, and i’m very biased towards my approach.
Basically, technical excellence, having previously created a profitable product as spin off from a hobby, having positive feedback on products of the hobby, if that is present, the success is much more likely than average, especially if you stick to the customers whom you understand.
I’d be very skeptical about practical ways to apply explicit rationality to anything but ordering of the todo list, sorry. There isn’t a lot of data, and even though Bayesian statistics looks like garbage-in-best-conclusions-out process, it is still a garbage-in-garbage-out process.