Kristen Wong's time at Bayer gave her a practical understanding of labs and manufacturing, enabling her to evaluate life science startups beyond their pitch decks. This operational grounding provides a critical advantage over VCs from purely financial backgrounds.
The most common mistake when trying to break into venture capital is looking for an entry point. Instead, candidates should focus on building tangible value through deep operational experience and demonstrating their investment judgment publicly, which compels the industry to open a door for them.
Passing on a company you admire due to mismatched timing, valuation, or uncertainty is a difficult but crucial discipline. True investment judgment involves tracking a thesis over time and waiting for the right entry point, rather than just identifying a single good team or idea.
A founder's ability to clearly articulate their vision and needs is not a 'nice-to-have.' It is the fundamental operational tool they use to raise capital, attract talent, and align their team and board. A brilliant founder who cannot communicate effectively will struggle at these critical functions.
To distinguish real AI innovation from hype, ask if the technology enables a capability that was previously impossible, not just faster or cheaper. If removing the 'AI' component leaves the core business functioning similarly, it's likely a simple wrapper, not a fundamental breakthrough.
While VCs write case studies about successful investments, they rarely discuss the companies that failed. This 'silence of the dead' prevents the entire ecosystem from learning from mistakes, making the industry as a whole less intelligent because the most valuable lessons come from what went wrong.