On the Importance of Having an Entrepreneurial Thesis
Yesterday, Fred Wilson published a very interesting post talking about investment theses (he was commenting on Dave McClure’s recent article articulating his thesis, but this is largely irrelevant to my argument). I am a big fan of using such mental models to guide thinking and decision-making and share Fred’s belief that investors should make their investment thesis public and articulate them well.
However, I think that investors are not the only ones that can benefit from having a mental model. Entrepreneurs who are looking to evaluate startup opportunities can also gain a lot by having a framework that helps them find signals among all the noise. To demonstrate how this can work in practice, I will outline a mental model that I use as an example for those looking to create their own.
Entrepreneurial Thesis: Evaluating Potential vs. Risk
I believe that a good way to think about startup opportunities is to consider the potential and risk of a particular idea:
Potential refers to how big the opportunity really is and is a function of the size of the market times the “core coefficient” of the product you are building. A good market is either a quickly growing new market or a large market that your product can disrupt. The “core coefficient” is the extent to which your product addresses a core need in the market. A tool that helps graphic designers design (like Photoshop or Illustrator) is an absolutely necessity for that audience (thus having a core coefficient of 1). A tool that helps designers get feedback better (like ConceptShare) is nice to have, but certainly not fundamental for most (and so has a lower core coefficient).
Whatever you are building, make sure to think about the potential of that idea assuming the best case scenario (i.e. competition doesn’t affect you, you have enough capital, the right team, etc.). After estimating the potential of your idea under these unrealistically positive assumptions, check to make sure that you are tackling something that is worth it depending on your preferences and goals. The purpose of this exercise is not to come up with a very precise number – say estimate the core coefficient to be 0.73 – which is both impossible and stupid. Rather, the goal is to make sure that the idea that you are about to dedicate the next few years to is really worth your time, effort, and passion.
Risk is the second part of the model and is inherent in any new undertaking. However, startups are in a unique position because they have limited resources and operate in extreme uncertainty. As a result, the risk of failure is correspondingly very high. It is worth noting that investors can reduce risk somewhat - e.g. by asking for traction and picking winners, which is essentially the norm in consumer internet startups today. However, the lower cost of innovation in consumer internet doesn’t necessarily mean that founders can reduce risk similarly. While cheap experimentation, app stores, etc. certainly help, my assumption is that they might reduce the risk from say 90% chances of failure to 70%, which is still very high.
Putting Potential and Risk Together
Putting the two notions of potential and risk together means pursuing opportunities that have appropriate potential given the level of risk you feel comfortable with. My personal thesis is that startup risk is always very high due to the inherent characteristics of new ventures and therefore the only sensible bets are ones that have a very high potential payoff in order to compensate for the risk incurred. Your thesis might be different, reflecting your unique skills, preferences, and personal situation. Whatever it is, make sure that you give it some thought before jumping on the next seemingly good ideas, only to come out disappointed two years later. Thinking through basic assumptions first might currently not be as sexy or popular as throwing things on the wall and seeing what sticks, but it is a good idea nonetheless.