One thing no one talks about are the differences in how investors within the same VC firm make investment decisions. Firms are supposed to be united in their decisions. But, the untold secret is that often there’s a lot of disagreement within a partnership over what deals to do. Sometimes these conversations can become heated. But ultimately, if a firm decides to do a deal or pass, the entire firm is united on that front – even if individuals within the firm feel differently. I’ve talked about the differences between the consensus model and the champion model on this blog before.
This is no different at Hustle Fund. There are often deals that I do that the rest of the investment team thinks are awful. And vice versa. Part of why we have a champion model at Hustle Fund — where any investment professional can do any deal he/she likes — is that outliers tend to be the most contentious.
One of the reasons for differences in opinion about a company lies in what individuals think are the most important aspects of an early stage company. For example, my business partner Eric Bahn really values great products and fast shipping of product. Of course, I think this is important as well, but in my list of things that I care most about, product isn’t always top of the list. And of course, it also depends on what the specific industry is. If you’re selling Salesforce to salespeople, then product is less important than if you’re selling a Canva subscription to designers. Product matters more to certain customers than others. But there are many other nuances about how my decision making is different from my colleagues’ that I hadn’t been able to quite articulate before…until now.
First, some context about our decision-making framework at Hustle Fund. When we evaluate startups, we use a 4 point system. 4 is excellent. 1 is terrible. By having a range from 1-4, it forces the decision maker to pick a number that is either on the weaker or stronger side. No one can pick 2.5 — you have to take a stance on whether you believe a given company is strong or weak in a certain area. And then using this point system, we grade a company across a variety of axes. But ultimately, the scores are meant to help our investors guide thinking; there’s no minimum overall score that a company needs to achieve in order to receive an investment offer. Moreover, if a company scored all 4s, it’s also possible for that company to not receive investment. E.g. it might be a pre-IPO company that has clearly proven out an amazing team, an amazing product, amazing traction etc…but then it’s no longer a pre-seed company.
So with our scoring system, the vast majority of companies we meet do not score highly, including those we end up investing in. The companies are all early, and we do not have grade inflation. But the scoring does show patterns in what each of the investors on our team care about. And having amassed a large data set of how our investment team thinks, I’m excited to share with you our results on how each investor on our team differs in thought process.
Average Scores Across Our Criteria:
We used AI to help us analyze our investment patterns. For the companies who received funding from Hustle Fund (our portfolio companies), these were the average scores we gave our companies when we decided to invest.
- Team: 2.98
- Product: 2.32
- Market: 2.79
- Execution: 2.76
- Fundraisability: 2.48
This is pretty interesting, because you can see that our investment team cares about “team” most importantly. As a whole, when we meet with a founding team, we are making our decisions to invest in large part because we are impressed with the team. In contrast, even if we don’t believe the current product is great or we don’t believe the team can fundraise, we’re often still willing to make the bet anyway. As a generalization, the categories of product and fundraisibility matters a lot less relative to other criteria.
Scores Per Investor (with commentary from AI):
- Elizabeth Yin: tends to score lower on average, especially in Product (2.01 average) and Fundraisability (2.19 average)
- Eric Bahn: gives higher scores across the board, particularly in Fundraisability (2.65 average)
- Haley Bryant: has the highest scores in Execution (3.06) and relatively high in Team (3.5)
- Shiyan Koh: has high scores in Market (3.05) and Fundraisability (2.80)
This is particularly interesting and can be interpreted in a few ways.
Since these are scores for companies that get investment, my scores could be interpreted in a couple of ways. You could say I see the weakest dealflow across my team (!) or you could also interpret this to say I’m the hardest grader of everyone, including the companies we invest in. There’s probably some truth to both in that I care less about how developed your product is and care less about a founder’s fundraisibility than my peers. In fact, across the industry, many VCs care a lot about whether a startup will get follow-on funding, but I very much prefer the founder who has less glitz and glamour and just gets to work. It also means that a startup who receives funding from me may end up being largely bootstrapped for longer and may have fewer downstream investors chasing them until they achieve some serious results. That’s a bet that I’m willing to make that few VCs will make.
You can see that Haley cares most about execution and team. Shiyan most about market. This isn’t to say they both don’t care about other criterion, but you can see what we all think a lot about. (Eric gets along with everyone and hands out A+ marks to everyone :).)
Variations in Scoring (with commentary from AI):
- The variations in scoring are relatively moderate across all investment team members and criteria, with Fundraisability showing the highest variation for Eric Bahn (1.03) and the lowest for Haley Bryant (0.51). This means that Eric will back a bunch of teams that he thinks can’t raise more money as well as a bunch of teams he thinks will raise money very easily.
- Elizabeth Yin and Eric Bahn show more significant variations in Product and Fundraisability scores. This means that Eric and I will back some teams that have great products and high fundraisibility as well as those that don’t. We do this because many ideas don’t require that much money or a rocket science product, but other businesses do. It’s case by case.
- Haley Bryant and Shiyan Koh have lower variations in Market and Execution scores, indicating all of their teams need to have strong market arguments and strong executing teams.
Common Themes and Observations:
According to our AI that did this analysis, “Each investor has a distinct scoring pattern, reflecting their unique perspectives or priorities in evaluating startups. This diversity in viewpoints enriches the investment decision-making process but also highlights the importance of consensus-building or weighting different criteria according to strategic priorities.”
Basically, we look at companies in different ways but individually, have distinct things we look for. If I were pitching Hustle Fund with a new company, I would be looking to pitch the person on our team who was best suited for my company. E.g. I would pitch Shiyan if I had a huge fascinating market, but if I were not great at fundraising, I would pitch myself with a more bootstrapped approach.
For more articles like this, join my newsletter:









