Data Normalization and Benchmarking
Understanding the potential of founders and optimizing your investment strategies involves multiple stages of data collection and analysis.
Last updated
Understanding the potential of founders and optimizing your investment strategies involves multiple stages of data collection and analysis.
Last updated
In the realm of venture capital investments, effectively understanding the potential of founders and optimizing your investment strategies involves a comprehensive process of data collection, normalization, and benchmarking. At LEONVC, we begin this process with the administration of the Founder Potential Diagnostic, followed by enriching the gathered data with various other sources. This data not only influences the Founder Potential Score but is also overlaid with financial outcomes to discern patterns and correlations.
Here's a detailed walkthrough of this process:
Founder Potential Diagnostic: The first step involves administering the Founder Potential Diagnostic. It evaluates each founder on factors such as leadership, innovation, and effectiveness. The resultant Founder Potential Score serves as a quantified measure of a founder's potential to influence their venture's growth and success.
Data Enrichment: The Founder Potential Score is just the beginning. To further refine our understanding, we incorporate other key data points:
Historical Due Diligence Data: Insights from past investment decisions and outcomes provide a broader perspective on your historical investment patterns.
Founder Interviews and Reference Checks: These qualitative data help us understand the founder's motivations, ambitions, and potential.
Educational and Work History: We assess a founder's background to gauge their preparedness and fit for the venture.
Historical Financial Data: Analysis of this data helps identify patterns that could predict future financial performance.
Data Normalization: The collected data, encompassing diverse scales and measures, is normalized to a common scale. This ensures comparability across the various data points.
Benchmarking: The normalized data is then benchmarked against historical data from your fund, generating a profile of successful founders that align well with your investment patterns. The data is also benchmarked against the wider LEONVC platform for broader comparisons.
This diverse and comprehensive data collection and analysis process significantly influences the Founder Potential Score. This enhanced score, along with the insights from the data overlaying process, offers an in-depth understanding of the potential of founders. In addition to the Founder Potential Score, this data can be overlaid with financial outcomes to analyze and understand the correlation between founder potential and financial success.
This process results in a comprehensive, data-backed founder profile, which can guide VC firms in making informed investment decisions based on their unique context as well as broader industry trends. This robust founder profiling can also help refine your investment thesis by highlighting the traits and characteristics that have historically led to success within your fund and across the platform.