Greg Stewart

It is chapters for us.

In the beginning, it was a non-coding tool.

It was how do I synthesize information?

Well, it was amazing.

I could take 5,000 responses and really understand what's happening.

And so then it was everywhere.

I can take it to think about how do I create compelling TikTok hooks based on all of this survey data or user data?

That's a tool, it saves time.

But it happened at the exact right moment where our entire team is 50 people and that includes 20 full-time coaches.

So 30 people excluding coaches.

We started scaling at the right moment where AI started to become a use case that

made us not have to go hire or expand the team just to solve a problem that we were looking to solve.

The team would have been a lot bigger if this were four years ago if we didn't have AI in every element of our business.

The second chapter for us is using and incorporating the product, not replacing the human.

We believe in humans as motivation.

It's really important to feel like you're having a relationship with the coach.

But I don't want to have coaches and reading chats all day and interacting one-to-one with users.

I want it to feel that way and use tools to expand

the capabilities of our coach we have teams with 60 000 people that are in it and now the chats are big and cumbersome and complex and the coach's message isn't the only reason they're there but it matters and the magic moment for a coach is saying the right thing at the right moment that makes the most people satisfied with what they're saying what isn't a great use of time which was happening is scrolling the chat for an hour to go figure out what's happening here

So we built a product called Ladder Pulse that automatically come in, reads every single chat that's come in, tells you, here are the three most burning questions.