Sean Ellis: belief

Transcript context

…Awesome. So actually, two questions along those lines. How durable do you find this percentage being? Say you hit 40%, how often does that fade and go away versus stay there or go higher? Yeah, I haven't seen it really fade back down, but I've seen companies fail despite having it. And I think a lot of times then, it becomes an execution challenge. Once you have product-market fit, not everyone's going to be a good executor. But before that, I think getting to product-market fit, obviously there's a lot of methodology for doing it today that might make it a bit easier for people, but I still think it's fairly random and pretty dang hard. And so ultimately, the risk factor of creating something that people care about is really difficult. So if you can get to the point where you have 40% of the people who are using it saying they'd be very disappointed, and you have a reasonable sample size. Let's say you've got 10 people and four of them said they'd be very disappointed without it, you're still going to get something useful from those four. But I wouldn't say that's a sample size that you can really go to market on, so yeah. What's a good sample size you look for of just, "Okay, this is actually good data I want to rely on?"…

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