DataFramed #207 Data Driven Venture Capital with Andre Retterath, Partner at Earlybird VC
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May 16, 2024 Andre Retterath, a Partner at Earlybird VC with a strong background in data and AI tools, dives into the transformative power of data-driven venture capital. He discusses how traditional methods still dominate, often causing missed opportunities. The conversation highlights the critical role of data in evaluating early-stage ventures and the importance of adaptable founding teams. Retterath also emphasizes balancing analytics with intuition to overcome human biases, while advocating for a cultural shift towards data-centric decision-making in the industry.
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Data-Driven VC Adoption
- Venture capitalists haven't widely adopted data-driven decision-making, especially in early-stage investing.
- This is due to the private nature of the data, the qualitative aspects of early-stage data, and a historical reliance on gut feelings.
Structuring Data Approach
- Understand the VC investment process stages: sourcing, screening, due diligence, portfolio value creation, and exit.
- Structure your data approach around these stages to maximize efficiency and effectiveness.
Early-Stage Value Creation
- In early-stage VC, most value is created during sourcing and screening, according to studies.
- Prioritize identifying and selecting high-potential companies early on, minimizing false negatives.