[mikst]

I think we picture "high output team" differently.

The way I see it, a "high output team" usually knows all the tools in their respecive field, and knows 99% of them are trash and this fundamental thing has to change before a better tool becomes possible. Which in turn makes conversations with salesmen mostly pointless.

On the other hand not a "high output team" don't know exactly what they need and just chase hype.

[ramraj07]

I suppose the one exception (which is hopefully the real niche any saas enterprise should aim for) is when a tool is so novel it hasn't become well known yet, but will become so soon. Of course, if a tool is in that path, any competent member of your team will immediately see it's value with even a cursory look at what they're selling.

I can personally say that when I first started knowing about snowflake it made so much sense it might be the perfect tool for my org, and a few weeks later when my boss said they're considering snowflake I immediately communicated my excitement. Tech like Snowflake fundamentally changed how data engineers work, and it's not a change you can just invent in-house as a SME. Unless you're a large corporation it's probably wise to keep a lookout for tools that could make your work more fun and efficient.

The question is if your team never wants to embrace the new for risk of it not working out or it's always excited to try out things that might make their life easier. That's an acceptable practice too, as long as there's some teams left to do the experiments, any saas worth its salt will become "standard" in your field that you too will embrace.

[hodgesrm]

What exactly made Snowflake the perfect tool for you?