Matt Cowell

at that point and and so to do 3600 in a week when we had tested 30 ever we weren't ready for that because they were all going to be doing it at the same time students they all procrastinate so literally one sunday night at 10 p.m everyone started doing it at the same time and all hell broke loose and you know we were just we were literally there just holding on for dear life hoping that we would get through it and we ended up getting through it before that we knew this might be a problem

at that point and and so to do 3600 in a week when we had tested 30 ever we weren't ready for that because they were all going to be doing it at the same time students they all procrastinate so literally one sunday night at 10 p.m everyone started doing it at the same time and all hell broke loose and you know we were just we were literally there just holding on for dear life hoping that we would get through it and we ended up getting through it before that we knew this might be a problem

We actually did some performance testing. We used some freelancers that had been on my team previously at a SaaS software company that knew performance testing. We had them come on and do some testing, thank goodness, because we found some areas with the potential for improvement, let's say. We had implemented some improvements before that first run, thank goodness, but We certainly learned.

We actually did some performance testing. We used some freelancers that had been on my team previously at a SaaS software company that knew performance testing. We had them come on and do some testing, thank goodness, because we found some areas with the potential for improvement, let's say. We had implemented some improvements before that first run, thank goodness, but We certainly learned.

We actually did some performance testing. We used some freelancers that had been on my team previously at a SaaS software company that knew performance testing. We had them come on and do some testing, thank goodness, because we found some areas with the potential for improvement, let's say. We had implemented some improvements before that first run, thank goodness, but We certainly learned.

We have some scars to show for it, I guess, is maybe a way to say it. And then we continued to improve it over time. Prior to the next year campus recruiting, we had done some more performance testing. We had solved a lot of the issues. So it went much, much better.

We have some scars to show for it, I guess, is maybe a way to say it. And then we continued to improve it over time. Prior to the next year campus recruiting, we had done some more performance testing. We had solved a lot of the issues. So it went much, much better.

We have some scars to show for it, I guess, is maybe a way to say it. And then we continued to improve it over time. Prior to the next year campus recruiting, we had done some more performance testing. We had solved a lot of the issues. So it went much, much better.

Yeah, yeah, yeah. I think a lot of the stuff that we've done has been just in time. Yeah, absolutely. Well, as you step out on the balcony and look across all that you've built, what are you most proud of? I will say on the learning aspect of our solution, what really gets me fired up is, I'll give you an example from recently. We're trying to teach people data skills.

Yeah, yeah, yeah. I think a lot of the stuff that we've done has been just in time. Yeah, absolutely. Well, as you step out on the balcony and look across all that you've built, what are you most proud of? I will say on the learning aspect of our solution, what really gets me fired up is, I'll give you an example from recently. We're trying to teach people data skills.

Yeah, yeah, yeah. I think a lot of the stuff that we've done has been just in time. Yeah, absolutely. Well, as you step out on the balcony and look across all that you've built, what are you most proud of? I will say on the learning aspect of our solution, what really gets me fired up is, I'll give you an example from recently. We're trying to teach people data skills.

A lot of people don't even realize that they don't realize even what data is or are, if you like the plural form of data. And so we're trying to make sure that people understand that they need data skills if they're in an entry-level HR role or sales or marketing. It's not just for data professionals or technical professionals.

A lot of people don't even realize that they don't realize even what data is or are, if you like the plural form of data. And so we're trying to make sure that people understand that they need data skills if they're in an entry-level HR role or sales or marketing. It's not just for data professionals or technical professionals.

A lot of people don't even realize that they don't realize even what data is or are, if you like the plural form of data. And so we're trying to make sure that people understand that they need data skills if they're in an entry-level HR role or sales or marketing. It's not just for data professionals or technical professionals.

And so one quote that I really loved from a recent customer discussion was they thought data was just numbers. Before they got into quantum and then they started realizing that there's some concepts in there. It's not just about numbers. And so the thing that I really love about what we do is is how we're we're making we're trying to make data and we're succeeding in making data relatable.

And so one quote that I really loved from a recent customer discussion was they thought data was just numbers. Before they got into quantum and then they started realizing that there's some concepts in there. It's not just about numbers. And so the thing that I really love about what we do is is how we're we're making we're trying to make data and we're succeeding in making data relatable.

And so one quote that I really loved from a recent customer discussion was they thought data was just numbers. Before they got into quantum and then they started realizing that there's some concepts in there. It's not just about numbers. And so the thing that I really love about what we do is is how we're we're making we're trying to make data and we're succeeding in making data relatable.

to the masses. Um, so, so a lot of people think when they think of data skills, they think, oh, I don't need those. I'm just going to send that to my analytics person. Well, that's just not the world we live in anymore. The data's all around us. My voice right now is data. And, and so, cause Alexa is listening in the next room. And, and so, you know, that's, it's yeah. Yeah. Oh, for sure. I

to the masses. Um, so, so a lot of people think when they think of data skills, they think, oh, I don't need those. I'm just going to send that to my analytics person. Well, that's just not the world we live in anymore. The data's all around us. My voice right now is data. And, and so, cause Alexa is listening in the next room. And, and so, you know, that's, it's yeah. Yeah. Oh, for sure. I

to the masses. Um, so, so a lot of people think when they think of data skills, they think, oh, I don't need those. I'm just going to send that to my analytics person. Well, that's just not the world we live in anymore. The data's all around us. My voice right now is data. And, and so, cause Alexa is listening in the next room. And, and so, you know, that's, it's yeah. Yeah. Oh, for sure. I