VC's are pattern matching all the time and recency bias can really put its thumb on the scales when it comes to decision making. Do you best to understand the patterns, especially the recent ones.
Episode 41: Too Risky
About SpringTime Ventures
SpringTime Ventures seeds high-growth startups in healthcare, fintech, logistics, and marketplace businesses. We look for founders with domain expertise, forging a path with a truly transformative technology. We only invest in software-based businesses in the USA. We bring a people-focused approach, work quickly, and reach conviction independently. Our initial check size is $600k. You can learn more about us and our approach.
About Rich Maloy
Rich’s mission is to rebuild the American dream through entrepreneurship. He believes technology gives all people the opportunity to grow, learn and earn. He is a Managing Partner at SpringTime Ventures and the host of the VC Minute podcast. With prior careers in finance and sales, he's been focused on the startup ecosystem for over a dozen years. He's a father of two young children and loves sci-fi, skiing, and video games.
Pattern matching is at the core of venture capital decision-making, and it's a double-edged sword. While it helps investors make informed choices, we all know that it can also perpetuate biases and limit opportunities for underrepresented founders. Early stage funds with little data to go on, have to pattern match across dozens of variables. I'll give you an example. There are two patterns that we see all the time. First-time founders tend to turn on revenue too late, endlessly updating the product without charging for it or taking it to market. Then, ironically, second-time founders who learned that lesson, turn on revenue too early with barely an operable product and churn through early customers. Another critical aspect to understand about pattern matching is recency bias. The more recent the pattern, the more heavily it weighs on decision-making. This is an inherent part of human nature. Recency bias is its own double-edged sword. A fund with an early breakout success will lead them to seek out more opportunities that match that success. Likewise an investment that's gone bad recently will cause that investor to shrink away from anything that reminds them of that founder or that company. The more recent, the successes or failures the more heavily they weigh on the investors. The problem is, you never know which way the wind is blowing. Can you guess where I'm going with this? That's right. Ask questions. First, understand the VC's perspective. Ask them about what they've seen recently in your industry. Ask them about their recent successes or failures. Their answer should inform the next step. Next up, leverage your unique story. Emphasize what sets you apart from typical patterns. And then play into their positive recency bias, or separate yourself from the negative. After that, use data to support your pitch. Provide evidence to back up your claims. It might be customer feedback, but nothing speaks better than early traction metrics that demonstrate your unique value proposition. And finally, educate. Be prepared to educate VCs about your market if it's less familiar to them. In episode 41"Too Risky". I talked about the difference between risk and uncertainty. Sometimes pattern matching as a result of VC's comfort with the level of risk or their discomfort with their level of uncertainty. Be the expert that you are and explain the nuances and the opportunities in your field.
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