Notable Quotes
"There's a difference between a bad result and a bad experiment. If you're not failing, are you really trying anything new?"
"The bad results didn't come from technical implementation. They came from a lack of contextual implementation."
"The same metrics and the same signals don't apply to every customer type."
"A buyer will never tell you what that value is. It's up to you through experimentation to figure out how they're defining value before they do it themselves."
"Better not bigger. Everything needs to be built on top of solid ML and infrastructure, but more people can come to the table with more ideas."
Takeaways
AI's biggest unlock is access. More people can run experiments, but it has to be built on solid ML and infrastructure. Better, not bigger.
Put failure on the agenda. A biweekly "where did you fail?" retro turns one person's dead end into the whole team's shortcut.
Metrics and signals you test against should always be business driven, not ported from the last thing that worked.
