Sara Nadal

I had no money when I started the company.

I'm ready.

Yeah, well, Stellar Employ...

The thing that we sell on is helping the employers of hourly jobs quickly identify and hire their best employees.

So we've demonstrated that we can reduce turnover by 30%.

A lot of HR tech is sort of in fancier job space, but this is really exciting.

There are 60 million Americans in hourly jobs.

That's 40% of the labor force.

People who make your coffee, fill your Amazon orders,

clean your hotel rooms, et cetera, they tend to leave their jobs once a year at an average cost of $1,000 to replace them.

We're talking about a $60 billion problem.

So if we're reducing turnover by 30%, saving about $20 billion.

Yeah, so the way we do this is we have a 15-minute questionnaire.

It gets at a person's underlying abilities and what motivates them.

It's very elegant, very quick.

It looks at the fundamental baseline of what drives hourly jobs.

And then a machine learning algorithm that we can calibrate based on every single client.

So we learn the main drivers of success for every client, filter their applicants as they come through.

So first thing applicants do is take our questionnaire.

If they're good, they can schedule an interview before they close their browser.