Key Takeaways

  • Jake Becraft, CEO of Strand Therapeutics, argues that influencing policymakers and investors in deep tech like biotech isn't about data dumps; it's about emotional connection. His rule: “No one will learn until they care.”
  • Forget generic complaints. Becraft's experience testifying before Congress and publishing an op-ed taught him that offering urgent solutions is key. He says, “coming with reframing it and being upfront about like bad things are happening, but we can fix them... was taken up very well.”
  • The goal isn't just to prove your idea works ("post-conviction"); it's to get everyone on board ("post-consensus"). This means turning complex challenges, like US regulatory reform in biotech or competition with China, into a narrative that compels action.
  • To sway capital and policy, founders should follow Becraft's four-step Effective Storytelling for Policy & Capital Engagement framework, starting with making someone care, explaining the problem, illustrating a solution, and then facilitating deeper understanding.

The Effective Storytelling for Policy & Capital Engagement

Step 1: Make Them Care: Your first goal is to make someone care about what you're doing. Then they'll learn.

Step 2: Explain the Problem (with Urgency): Illustrate the problem with urgency, highlighting bad things are happening and driving urgency of like this isn't a let's have 12 more hearings. This is a we either fix this today or we get comfortable.

Step 3: Illustrate a Solution: Bring the solution upfront. Reframe it and be upfront about like bad things are happening, but we can fix them. It's in your power. Let's go.

Step 4: Facilitate Deeper Understanding: Now that you care a little bit and you see a light at the end of the tunnel now we can go through the whole process you can understand the nuance of like both what's happening what we can do and how we get to the other side.

When This Works (and When It Doesn't)

This framework shines brightest when you're trying to win over busy, high-level stakeholders like politicians or venture capitalists. It’s perfect for complex, deep tech fields, as Becraft found in biotech, where the science is often too complex for a quick digest. The framework cuts through the noise, shifting the conversation from tedious details to urgent, solvable problems. It works because it respects their time and offers a clear path instead of just a lecture or complaint.

However, this approach might fall flat if your audience already cares deeply about the technical specifics or if the problem isn't genuinely urgent. If you're talking to a panel of expert scientists reviewing a grant application, they might expect a deeper dive into methodology upfront. Also, if your proposed solution isn't credible or well-researched, leading with it can backfire, making you seem superficial. It's not a substitute for substance, but a way to package it for maximum impact.

What to Do With This

This week, pick one key decision-maker you need to influence, whether it's a lead investor, a crucial hire, or a policy aide. Let's say you're pitching a new AI-driven supply chain platform to a skeptical Fortune 500 CEO. Here's how Becraft's framework applies:

1. Make Them Care: Don't start with algorithms. Instead, open with a story about a recent, widely publicized supply chain disaster – perhaps a specific port backlog or a recent commodity shortage that cost their industry billions. Frame it as “this is happening to companies just like yours, and it's getting worse.” Tap into their fear of falling behind.

2. Explain the Problem (with Urgency): Show them the data points they already feel but haven't quantified: "Your competitors are facing 15% longer lead times, costing them $50 million annually in lost revenue, and 70% of current tech solutions won't scale past the next three years of disruption. This isn't a future problem; it's a today problem."

3. Illustrate a Solution: Immediately pivot to your solution. "But we can fix this. Our platform isn't just a predictive model; it’s a proactive command center that could have shaved 30% off those lead times and saved $15 million in the last quarter alone. It puts control back in your hands, right now."

4. Facilitate Deeper Understanding: Only now, after you've made them care, explained the urgent problem, and presented a clear path, do you dive into the specifics of your AI architecture, data integration, and implementation roadmap. They are now receptive, wanting to know how to grasp that solution.