|
|
|
|
|
by rmrfrmrf
4389 days ago
|
|
> While I believe this (the luck part), I'm not sure most startup folks do. Probably because it's not exactly true. The whole point of all that data is to see which aspects of a business work and which parts don't. The author is describing pivots a bit hyperbolically for the sake of drama/artistic license, but it's not like the C-level executives pivot by rolling the dice and seeing what they come up with. A successful pivot works by observing which parts work, dropping the parts that don't work, and building up the parts that people like. Think about the last SV product/service you purchased. Did you buy it because you had a random thought, or did you buy it because it actually solved a need of yours? |
|
When you realize that you have this kind of a system, you want to put in place institutions which underwrite failures, to allow your talented people the ability to try out big ideas that might be the next big winner. Such systems are hard (but not impossible) to put in place: There's a good argument to be made that academia is at its core one huge such hedge, allowing talented people (good enough to get through the tenure process) a long-ish leash to try out new ideas in the hopes of developing something both novel and (every once in a while) exciting. The flip side is that you need a gatekeeper system of some sort to minimize parasites, and hopefully also to ensure diversity in your boys club.