Oct. 31, 2022

How to Bootstrap Through Partnerships | Laura McGee, Founder of Diversio

How to Bootstrap Through Partnerships | Laura McGee, Founder of Diversio

The standard advice is you need to first generate your own demand, and only then look for partnerships to accelerate your business. Another piece of standard advice is you should probably raise a small round  early on to hire key employees. The last piece of advice is that if you're a business founder, you probably should get a technical co-founder.

Laura chose to do exactly the opposite. And it worked.

She decided not to bring on a technical co-founder, and it's "the best decision she ever made". She decided to bootstrap the company for as long as possible, and it helped her focus on what really mattered. And she decided to start with partnerships and it worked.

If you want to learn how she did it, check out this episode.

Send me a message to let me know what you think!

00:55 - Diversio's Backstory

03:41 - Win-Win Partnerships

06:17 - Building a Team

09:23 - The Importance of Bootstrapping

11:49 - Leveraging Your Partnerships

16:39 - Picking a Perfect Partner

19:13 - Overestimate Your Participation

22:07 - Having Product Market Fit

25:24 - Recap

WEBVTT

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Okay, so I've got to say, and this kind of goes through the business broadly.

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If they're not willing to pay for it, don't bark up that tree.

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If you're not providing a service for them or a product for them that they're willing to pay for it, it's not going to work.

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I think sometimes we ignore that advice.

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Whenever we ignore that advice, it doesn't work.

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Welcome to the Product Market Fit Show brought to you by Mistral, a seed-stage firm based in Canada.

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I'm Pablo.

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I'm a founder turned VC.

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My goal is to help early-stage founders like you find product market fit.

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The topic of today's episode is how to use partnerships to bootstrap your startup.

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To dive into this topic, we've got Laura, the founder and CEO of Diversio, a platform that measures, tracks, and helps companies improve diversity and inclusion.

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Diversio is based in Toronto and New York.

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They have about 40 employees and have raised just shy of$10 million.

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Laura, it's great to have you here today.

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Hey, Pablo.

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Great to be here.

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You just raised this pretty big round, but before that, you were able to grow your company to like mid seven figure ARR in three years with no funding.

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As I understand it, a big reason of how you were able to do this was by using partnerships to do more with less.

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We'll dive into all this, but maybe just to set some context, could you take us back to when you had the idea, and without going too deep into the entire origin story, just where were you at the time?

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What were you doing?

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How did this come to you?

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Yeah, so the backstory, and it's funny.

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It's like talking about your family.

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The backstory on Diversio is I started my career in consulting.

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I worked at McKinsey and company for several years leading work in the economic growth and the diversity and inclusion space.

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What we kept hearing from CEOs over and over is that, luckily, we're at a time where the business case for diversity is well understood.

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There really could not be more data that diverse companies that perform inclusive companies are better off, but CEOs don't know how to do it.

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When it comes to quantifying, measuring, tracking things like inclusion, there's just a whole lot of blank stares, misunderstanding, lack of clarity, and certainly lack of knowledge on what to do to solve the problem.

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We kept hearing, I feel like I'm throwing spaghetti at the wall and hoping that whatever program works.

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The vision, and this feels kind of simple to look back on, but the vision was, could we create a software platform that helps companies quantify and improve diversity, but in particular, that inclusion piece, so experience, and then use artificial intelligence to recommend solutions.

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It's all about getting to the right answer, implementing those bite size interventions that will make a more inclusive workplace.

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Perfect.

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You have this idea.

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You're not a developer.

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You can't start building even if– I’m not sure that that's necessarily the right step, but you couldn't do it even if you thought it was the right step.

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What is kind of your first move?

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Are you working full-time at this point?

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Do you leave the company you're at?

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What's the context?

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Yeah, so the context, so you're right.

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I am not a developer.

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There was no way that I was going to figure out how to code in time to get this thing to work.

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What happened basically, with the encouragement of a close advisor, quit McKinsey, the next day called a few friends and said,“Look, I want to start this business.

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Here's the idea.

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Do you think I could raise capital?” and got really a hard no from everyone I spoke to.

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This is not scalable.

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It's not venture backable.

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It's really just a consulting company that might have some technology angle, but we can't– not something that we could invest in.

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With that in mind, you pivot and you say, okay, well, what resources do I have or what could I pull together?

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One thing that I'm good at, and I think the companies become good at, is forming those win-win partnerships, where you get the assets or the resources that you need, and then you have to figure out, well, how do I provide value back to that partner?

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Two things that you need when you're starting a company, product and customers, reached out originally to the head of YPO Canada, who's since and still is a good friend, and said,“Look, I have this idea.

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I think that the G7 is coming up.

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What if we got together, a group of companies, had them all take the same survey, collect the data on diversity and inclusion, and create a benchmark.

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There's this product vision.

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It's not in the market yet, but I think that this could be a really great set of early adopters to really kind of validate.” He was excited.

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He said,“That sounds like a great idea.

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I think we could pull some people together.” He went out and hit the pavement.

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Obviously, with my support, went out and found about 25 companies who said,“Look, we'll pitch in a little bit of money, and in return, we'll get a consultative report, and most importantly, we'll get data.

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Sure, we'll sign up.”

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How did you know– like YPO came to you, and that's the partnership that worked.

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Did you have ten other partnerships you were trying out at the time or one of one?

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How did you pick them?

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Yeah, you know what it was?

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I went around basically anyone who would pick up the phone, who I knew was kind of influential or a good connector, and said,“Here's what I want to do.

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Let's brainstorm.” A lot of people– that's when a lot of people said, want nothing to do with this.

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It's not going to be a real thing.

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Then other people said, I know the head of Women in Capital Markets, or I know the head of the Institutional Limited Partners Association, and this one happened to hit.

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Perfect, so this one worked and that got you, what?

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Did it get you early sales, but more kind of on a consulting project?

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Is that right?

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It got me, yeah.

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It got me our first sale.

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It was actually sponsored by YPO and the output that they expected was a little bit different than what we had available at the moment.

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The idea that we sold to them was, ultimately, this will become some sort of dashboard, but we need the data to get the foundation of what the dashboard looks like.

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That kind of nailed that in.

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We reached out to the G7 women's forum, which was being hosted in Toronto, and we said,“Look, we've partnered with this really cool organization, YPO.

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We've got 25 companies who have raised their hand.

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What if we do a presentation, really a product launch at the G7?” Then they got excited because we had this brand behind us and they said,“Absolutely, let's do it.

00:06:15.939 --> 00:06:37.459
Here's your spot.” Then really kind of panic mode because we needed a product, and so went to the University of Toronto to the MBA program and said,“Hey, do you have any kind of smart students who are looking for an internship or looking for something to get their hands dirty in?” Rotman said,“Yeah, we actually have this great course where students get credit if they work on a real business problem.

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They love it because they get practical experience.

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Here's five people who are kind of ready, available, and willing to help and build this thing.”

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These are business students, not developers?

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We started– so we had to land and expand.

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We started with the business school and got some data analysts.

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Then we went into the engineering school and said,“Hey, we've got this great partnership with Rotman.

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We would love to work with your engineering program,” got a professor fired up and then we ended up with a team of engineers as well.

00:07:06.860 --> 00:07:10.740
Did you try to also get– was it just you as a founder?

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Did you try to also get a technical co-founder, somebody full-time?

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It's one thing to have interns, business interns that you can– you know that world, but it's a little harder when they're technical people.

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How did you manage that?

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I would say, Pablo, getting a technical co-founder was the smartest thing that I never did.

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It ended up being the best decision that I made.

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My co-founder, I actually pulled from RBC.

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Her name is Anya.

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She is my absolute righthand woman.

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Her background was academia, data analytics.

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She had a product focus at RBC, but really was more just a super smart, resourceful, crafty person.

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The two of us together, while neither of us could code, both of us are extremely resourceful.

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How we made it work is we got that small contract from YPO.

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We got a bunch of resources for free.

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Every dollar that we got in sales we used to hire engineers.

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We hired our first engineer, Sahil, who is actually still with us.

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He’s really very talented.

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We couldn't go with anyone other than the best of the best.

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We had to get him motivated, inspired by the vision, which he was.

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That's really where we started to build out this actual dashboard solution.

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Most people that don't have a technical co-founder would say that getting one is the smartest thing to do.

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You're saying it's the smartest thing you never did.

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Why is that?

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Yeah, in my mind, and I think I’m maybe an outlier in this regard, but to run a tech company, like really coding is a very small part of what you're doing.

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It is in some ways a commodity.

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In the same way that you're never going to start with every function of the business that you ultimately scale, you just have to work with what you have and then you outsource the rest or you bring in the rest.

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For me, looking back, having someone like Anya, who's like very talented, incredibly good at sales, incredibly attuned to the market, knows our clients inside and out, with something like that's very hard to hire and replicate.

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Whereas engineering talent is something that we could kind of grow as we went.

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We did find that our mission was landing in that community.

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We ended up getting some talented people who, quite frankly, were willing to take a pay cut until we could afford to pay the market rate.

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Did having less builders in your DNA force you to focus more on selling and customer related activities, you think?

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A hundred percent, I think one mistake I think a lot of companies make is not bootstrapping for longer.

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It forces you to be very focused on the problem you're solving.

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It forces you to work with clients, understand what they're willing to pay for and bake in that commercial mindset, which I actually think in a space like ours is extremely important because it does attract really mission-driven people.

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Having that discipline that, at the end of the day, you're still a commercial enterprise is something that I think bootstrapping helped us to instill.

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How do you track talent when you're bootstrapped, especially in this environment?

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There's talent wars.

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People are paying crazy amounts.

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How did you make that happen?

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Yeah, again, I think bootstrapping is a forcing device.

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When you don't have resources, you have to get incredibly sharp and crisp on what is your mission?

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What is your value prop as an organization beyond money that's going to attract talent?

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Getting crisp on that mission statement, I mean, you can use that in sales then.

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You can use that in marketing.

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You really have to be able to go out there and say like, look, you're working on a problem that's bigger than your average startup.

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Here's how we differentiate.

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Here's how we're going to create a really unbelievable culture where you feel like you're developing and growing and really having an impact.

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Perfect, so back to the partnerships.

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You did the YPO partnership.

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You had the partnership with the university.

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What was the next meaningful partnership after that?

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Yeah, so we ended up– it's funny.

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We now have an entire segment of our business, which is working with industry associations.

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We went to the Human Resources Professionals Association, for example.

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We struck a big partnership with them where we analyzed diversity and inclusion across the HR industry, created a benchmark, provided a discount to them and their members, which has now generated new product lines, a certification program.

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That was paid to begin with.

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We did something similar with Diversity VC, which is a UK-based industry body in the VC industry.

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We created a certification program and a dashboard for their VC partners, which has now been incredibly successful.

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I think, and again, it was paid.

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They supported the development of the dashboard.

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Through them, we ended up getting clients like Bessemer, like 500 Startups, like M12, like AMEX Ventures, like Shell Ventures.

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Again, everything we did was funded by sales.

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One of the big topics here around partnerships is that, probably the more common perspective is that early on, you're much better off focusing on direct efforts, things that you can control, right?

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These partnerships, especially the ones with the really big, like a partner with Microsoft or something like that, where you think that it's going to save your company, it's going to lead to so much sales, and the reality is you have to manage it.

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It's a lot harder than you think.

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Really, early on, there's kind of no demand for your product.

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The kind of cliche is you got to go generate your own demand and then partners will come.

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You seem to have flipped that.

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What's your thinking on just that idea, that partnerships are something more useful later in life of a company?

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Is there something about Diversio itself that made you guys very suited to partnerships or is it something that many startup founders could leverage much earlier than they think?

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I think, I mean, it's really great advice.

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I think if you're bootstrapping, you don't have the luxury of trying to partner with Microsoft, frankly.

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If you've explored a few partnerships like that and you're like, okay, this is like a year and a half long sales cycle, so unless you're going to make no money for a year and a half, when your bootstrapping, that's not an option.

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For us, the type of partner and the outcome was really important.

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For us, we had sales partnerships and we had development partnerships.

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On the development side, like the RND, we've now worked with four or five academic institutions.

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For us, the litmus test was like, have they done this before?

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How do they feel about IP?

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Who are the academics that we're working with?

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Are they scrappy?

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Are they entrepreneurial?

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If they checked all three boxes, we work with them.

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A good example is we went from the University of Toronto, we then partnered with the Turing Institute in the UK.

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We partnered with Dalhousie.

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We partnered with the University of Waterloo.

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We found that just entrepreneurial people who like really wanted to get their hands dirty.

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That was great.

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Those partnerships with the universities, what's the thinking there?

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Is it just strictly a way to get talent for less?

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Is there something else going on that's driving you to have a lot of partnerships?

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What's the thing in there?

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Yeah, so we work with– I mean, look, I think there's a healthy dose of humility that we bring to this business, which is like lots of enterprising academics are doing really important work that we need to be aware of.

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With Dalhousie, for example, the academics we worked with, who have been fantastic, had some really great natural language processing technology that they had built that analyzes employee feedback, free text.

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Our thought and our conversation with them was like, look, we think– we use surveys.

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Survey fatigue is a big problem.

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How do we allow employees to speak in their own voice and their own words really quickly and generate insights from that?

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They said, wow, great academic problem in a really cool, meaningful space, let's develop an algorithm.

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We need your expertise as diversity and inclusion experts.

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We've got the engineering ML experts.

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Let's work together, build an algorithm, and from their perspective, write a paper.

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We agreed like, look, absolutely.

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Let's anonymize and share back the data so that you can generate insights, get published.

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In return, we've now got this proprietary algorithm that is adding a ton of value for our clients.

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Is there something beyond the end product they get?

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Is there some sort of credibility stamp that you get by doing that?

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Because just to play devil's advocate, the flipside would be, find a way to raise money and just hire those people, maybe not the professor, but like as many people close to that in-house, and then you don't have to worry about getting a paper done.

00:15:22.510 --> 00:15:26.950
You don't have to worry about finding win-win outcomes and all these sorts of things.

00:15:27.740 --> 00:15:29.470
Yeah, I mean, that's another way to do it.

00:15:29.539 --> 00:15:35.899
I think it goes to the heart of how do you innovate, and I think for us, we have an engineering team in-house.

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We develop and we go to market and all of that's great and it works and it builds the foundation.

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One thing that we really like, though, is like with the Turing Institute, we never would've built the kind of technology that they had spent three years building, which is a plugin that sits on Slack and GitHub and identifies bias in real time.

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We, just frankly, wouldn't have built that and we wouldn't have– but by kind of constantly being on the lookout, we were able to be connected with them and now we've got this muscle developed where we know how to partner with universities.

00:16:09.009 --> 00:16:10.289
We know how to make it a win-win.

00:16:10.509 --> 00:16:15.809
To your point, Pablo, one thing that was a learning for us is, what are academics after?

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They’re after data and publications.

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Really, that's it.

00:16:20.410 --> 00:16:21.009
That's enough.

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If we can– and so we built that into our customer contracts early on that like, look, we're going to anonymize all of your data, but we are absolutely going to share it with academic institutions so we can move everybody forward.

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I think you have to build the muscle.

00:16:34.130 --> 00:16:38.129
You have to build your company to allow for that if you think that there's value there.

00:16:39.250 --> 00:16:43.570
Let's talk maybe a bit more about the partnerships on the sales side, maybe a high-level question.

00:16:43.889 --> 00:16:45.570
How do you choose those, right?

00:16:45.571 --> 00:16:50.330
How do you know, because there's a lot, there's just so many entities you could partner with.

00:16:50.331 --> 00:16:54.450
Some of them are really– some of them are like too big.

00:16:54.451 --> 00:16:55.690
It's going to take too long.

00:16:55.799 --> 00:17:00.129
Some of them are too small and they're not really going to help you out.

00:17:00.130 --> 00:17:01.889
Maybe you're not going to be able to help them out.

00:17:01.890 --> 00:17:05.089
It's how are you really picking that perfect partner each time?

00:17:05.090 --> 00:17:05.450
What do you think through?

00:17:05.759 --> 00:17:09.368
Okay, so I've got to say, and this kind of goes through the business broadly.

00:17:09.369 --> 00:17:14.440
If they're not willing to pay for it, don't bark up that tree.

00:17:14.450 --> 00:17:20.319
If you're not providing a service for them or a product for them that they're willing to pay for it, it's not going to work.

00:17:20.320 --> 00:17:22.589
I think sometimes we ignore that advice.

00:17:22.590 --> 00:17:24.630
Whenever we ignore that advice, it doesn't work.

00:17:25.210 --> 00:17:33.470
To be clear, pay for it, that means these are not like reseller partnerships where they're like, I'll just resell your thing and I'll give you a kickback where I get a kickback each time.

00:17:33.471 --> 00:17:34.950
They're actually paying to get your product.

00:17:37.358 --> 00:17:47.230
For us, it's both, but for us, how it typically works and where we succeed is you have often like an industry body or some sort of convening association who wants a benchmark.

00:17:47.230 --> 00:17:49.480
That's what we do well.

00:17:49.480 --> 00:17:49.880
We collect data.

00:17:49.881 --> 00:17:50.599
We create insights.

00:17:50.601 --> 00:17:51.358
We recommend solutions.

00:17:51.359 --> 00:17:58.759
Industry bodies are often in the market for that because they're like, look, we need to be a thought leader for the energy sector.

00:17:58.760 --> 00:18:04.039
We need to be a thought leader for the limited partner sector, but we don't have the capacity.

00:18:04.299 --> 00:18:06.680
We don't have the know how to collect this data ourselves.

00:18:06.681 --> 00:18:07.640
Let's work with Diversio.

00:18:07.641 --> 00:18:16.400
We're going to pay you for that sector benchmark, but also in the process, we now know you and we know that our members have a demand here, so we're going to recommend you.

00:18:16.401 --> 00:18:26.839
Let's figure out a process where, if it's a discount, if it's a bit of a rev share, how do we create that benchmark, generate the credibility, and then have you go to market with our members.

00:18:28.650 --> 00:18:32.799
Beyond just are they willing to pay, what else are you looking at to pick who you partner with?

00:18:32.800 --> 00:18:35.680
What order, like how do you prioritize who you could partner with?

00:18:35.681 --> 00:18:40.519
Then the other side of that is how do you make the partnerships successful once they're in place?

00:18:40.720 --> 00:18:44.759
Yeah, so on the first one, this is going to sound odd coming from a former strategy consultant.

00:18:44.760 --> 00:18:46.559
We don't overthink it.

00:18:46.560 --> 00:19:00.900
You want to go with someone with enough footprint and enough access and trust, but I think most importantly, you kind of know it when you see it, like who is the person in charge of partnerships at that organization and do they get shit done?

00:19:00.901 --> 00:19:02.839
That's the most important thing.

00:19:02.840 --> 00:19:12.839
Are we going to have to push it forward 100% or do we have people who are like, I have this acute need and my members are asking me about this a lot and I want to make this happen.

00:19:13.618 --> 00:19:20.680
Then on the flipside of that, once you do have this partnership in place, how much are you– how much of anything are you doing to make the partnerships actually successful?

00:19:21.289 --> 00:19:22.799
I would say it really depends.

00:19:22.868 --> 00:19:28.789
I think, as a rule, always overestimate your own participation.

00:19:28.790 --> 00:19:35.990
I would say that that kind of is true in almost any partnership including personal, like always assume you're going to have to do more work than the other person.

00:19:35.990 --> 00:19:40.630
If you want to get it done, especially if you're an entrepreneur, you have to push it forward.

00:19:40.631 --> 00:19:43.509
Everything from, we've developed marketing content for our partners.

00:19:43.510 --> 00:19:44.990
We've developed emails.

00:19:44.990 --> 00:19:48.269
We've literally designed websites and web and landing pages.

00:19:48.368 --> 00:19:51.670
We've created LinkedIn content, social media content.

00:19:51.671 --> 00:19:56.549
You want to be really thoughtful about, how do I take this to market?

00:19:56.690 --> 00:20:00.349
Sometimes, and this has happened, you land on a partner who does it better than you do.

00:20:00.351 --> 00:20:08.950
They come to you and say, hey, we want to roll out certification, like in the case of Diversity VC, and we've set up a team in the US because we want to expand in Silicon Valley.

00:20:08.951 --> 00:20:11.108
I would say be prepared to do more.

00:20:11.839 --> 00:20:18.069
Again, if you're filtering for people, you'll be surprised when they end up kind of driving the bus.

00:20:20.819 --> 00:20:25.910
Were there any partnerships that really, that you remember really kind of taking the company to the next level?

00:20:25.911 --> 00:20:26.549
I'm kind of wondering.

00:20:26.550 --> 00:20:29.430
Is this just partnership after partnership after partnership?

00:20:29.431 --> 00:20:39.150
At some point you have 50 of them, and therefore, your revenues at a certain point, or did you kind of have these step functions where every now and then there was just a major partnership that really took the company to next level.

00:20:40.319 --> 00:20:45.868
I would say our partnerships in the investment space have been game changing.

00:20:45.869 --> 00:20:56.230
I would say the partnership with Diversity VC that I mentioned, the certification program, we started out with, I think, 12 investors all based in the UK, so, Atomico, Anthemis, and then worked really well, great feedback. We, with our partners, said, let's expand to the US. We got Bessemer involved. We got M12 and we got covered.

00:21:10.858 --> 00:21:16.420
To be clear, this partnership is VCs kind of asking their portfolio startups to submit DNI data?

00:21:18.029 --> 00:21:19.740
This one started with VCs themselves.

00:21:19.740 --> 00:21:23.779
Once we kind of collect the data, we determined if they qualify to get certified.

00:21:23.780 --> 00:21:25.660
If they do, great, they get certified.

00:21:25.661 --> 00:21:27.019
They post about it, etc.

00:21:27.020 --> 00:21:29.539
When we brought it to the US, we did it with our partners.

00:21:29.540 --> 00:21:30.299
We said, let's relaunch.

00:21:30.300 --> 00:21:32.380
Let's replicate what we did in the UK.

00:21:32.381 --> 00:21:33.420
Let's get some early adopters.

00:21:33.421 --> 00:21:35.059
We did that together.

00:21:35.060 --> 00:21:36.579
We made the announcement.

00:21:36.580 --> 00:21:38.460
We got some unbelievable press coverage.

00:21:38.779 --> 00:21:41.740
We were in the front page of PitchBook for like a week straight.

00:21:41.740 --> 00:21:47.059
That ended up generating a ton of leads, which created a ton of client relationships.

00:21:47.170 --> 00:21:49.519
I would say that was game changing.

00:21:49.520 --> 00:21:56.319
I think the other somewhat similar relationship we have is with the Investor Leadership Network where we're working with them to set the standard among LPs.

00:21:56.320 --> 00:22:01.480
By working with them, we have access to their 15 members, a kind of credibility in the LP space.

00:22:01.710 --> 00:22:03.358
We frankly know what we're talking about.

00:22:03.359 --> 00:22:04.519
That's been another game-changer.

00:22:07.279 --> 00:22:10.880
When did you really feel like you had product market fit?

00:22:10.881 --> 00:22:15.279
What were some of the signs that you started seeing that said this is kind of beyond an experiment?

00:22:15.280 --> 00:22:16.440
This thing's working.

00:22:16.549 --> 00:22:17.920
It's providing real value.

00:22:17.921 --> 00:22:20.599
There's something big to be built here.

00:22:21.200 --> 00:22:22.200
That's a good question.

00:22:22.201 --> 00:22:31.349
I'm going to say I don't know if I ever am going to feel like I have perfect product market fit, but I think the signs started to occur.

00:22:31.351 --> 00:22:32.509
We built our business model.

00:22:32.510 --> 00:22:32.750
It's. It's recurring revenue. You sign an annual contract with automatic renewal. I mean, sign Number 1 is like, I think we've had one cancellation ever out of like now 170 clients. Our clients see the value and they want to keep using the product. I think that's signal Number 1. I think signal Number 2 is – and we're in a funny space. I don't know if others – I don't know if everyone thinks this, but we're in a space where almost like most people change the product to fit the market. We came to life at a time where really the market changed in a lot of ways to fit the product. After COVID, when Black Lives Matter kind of generated a lot of activity, the market started saying, okay, this whole like diversity data thing, yeah, we need it. Do we need data-driven plans so we can track over time? We had the product in the market. With those tailwinds, we saw more and more people coming to us and being referred to us and then kind of immediately saying I get the value. I think that was – those were some of the signals.

00:23:36.049 --> 00:23:46.559
Maybe on that, just because timing is, from our side, I mean, it's one of the most important things we think about when we're investing in a company, maybe aside the team and the idea is just is the timing right.

00:23:46.560 --> 00:23:48.720
You got the timing right.

00:23:48.721 --> 00:23:52.279
Do you have any advice on getting the timing right, on how you think through that?

00:23:52.280 --> 00:23:56.920
I think there's pieces that are outside your control, like these tailwinds that maybe came after, but DNI was already growing.

00:23:56.921 --> 00:24:02.240
Do you have any advice for founders on how to figure out whether the timing is right for their idea?

00:24:05.880 --> 00:24:06.960
I'll go back to like bootstrap.

00:24:06.961 --> 00:24:15.740
It's easy to– if you can't survive through without making sales, that'll give you a really good indication on whether the market is ready.

00:24:15.740 --> 00:24:24.000
Obviously, it doesn't work if you're building medical technology or a lot of clean tech solutions, but in something like software, B2B sales, you'll know quickly.

00:24:24.000 --> 00:24:33.640
If you're struggling and you're on the edge of your seat and you're worried about making any sort of payroll, then you want to think through is this the right time for this product.

00:24:37.039 --> 00:24:41.400
Maybe on that question, because you started out at least exploring the idea of raising money.

00:24:41.401 --> 00:24:50.160
Then when you could, and you decided to bootstrap and it worked out, do you think, going back to that, if you had raised money, if that would've been successful, if that maybe would've done more harm than good?

00:24:53.029 --> 00:24:54.710
Maybe I'll put it a different way.

00:24:54.980 --> 00:24:57.029
I don't know how much we would've done differently.

00:24:58.900 --> 00:25:06.589
I think that we might have spent– I think we would've been much less capital efficient, and I think we would be much less disciplined.

00:25:06.590 --> 00:25:10.670
I'm even now feeling now that we've raised, it's easy to feel like we've got money.

00:25:10.671 --> 00:25:14.269
Let's just– every tool, every opportunity, let's go after it.

00:25:14.270 --> 00:25:20.269
I'm having finding myself consciously saying like, let's keep that discipline because that's the business that we're building.

00:25:20.430 --> 00:25:23.349
I think that's harder to maintain if you're well-funded from the beginning.

00:25:24.839 --> 00:25:26.190
Perfect, all right.

00:25:26.191 --> 00:25:27.509
Laura, we'll wrap it up there.

00:25:27.510 --> 00:25:39.150
Maybe just to recap, you have this idea about building a benchmark for diversity and inclusion and you couldn't build it.

00:25:39.151 --> 00:25:57.630
You decided to use partnerships to not just build it, but really to kind of, first, sell it and then build it and then sell it more and then keep building it, and bootstrap your way to where you are today, which is 40, 50 employees, a big round under your belt, and more importantly, hundreds of really, really happy customers.

00:25:57.631 --> 00:25:58.710
It's only the beginning.

00:25:58.711 --> 00:26:02.309
Thanks a lot for sharing all of that with us.

00:26:02.310 --> 00:26:04.430
It was a pleasure having you on the show.

00:26:07.430 --> 00:26:07.789
Thanks, Pablo, bye.

00:26:07.789 --> 00:26:09.789
Thank you so much for listening all the way through.

00:26:09.790 --> 00:26:12.390
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00:26:12.391 --> 00:26:13.750
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