Modern Founders Podcast

“Can you tell us about your business and your entrepreneurial experience, from the early days until now?”

This is his standard opening question to establish the guest's background and expertise.

“How have you stayed up-to-date with all the changes in technology over the years?”

He asks this to understand a guest's process for continuous learning, especially those with long careers.

“When you experienced rapid growth, how did you handle that sudden scaling challenge?”

He asks this to explore the often-difficult realities of successfully scaling a business.

“How do you handle the dilemma of needing help but not having the cash flow to hire?”

This question seeks practical advice on a common early-stage financial and operational challenge.

“Where do business owners lose the most time and money that AI could help with?”

This question aims to identify the highest-impact areas for AI automation for his founder audience.

“What are the biggest mistakes you see first-time founders make in their first few years?”

A classic question he uses to extract cautionary tales and preventative advice for his audience.

“How does someone know if an idea can become a real business versus one that won't scale?”

He asks this to get at the core criteria for validating a business idea before committing fully.

“What's one thing new entrepreneurs underestimate most about running a business?”

Used to uncover common blind spots and misconceptions that new founders often have.

“If a new founder has limited time, what one or two things should they focus on?”

This is asked to get highly specific, prioritized advice for listeners who are likely side-hustling.

“How did you handle the loneliness and self-doubt that comes with being an entrepreneur?”

This question probes the personal and emotional side of entrepreneurship, moving beyond strategy.

“Why should businesses implement AI now instead of waiting a few years?”

He asks this to create a sense of urgency and explore the timing of technology adoption.

“Are we in the early innings of the AI boom, or further along?”

A forward-looking question to gauge the maturity and future potential of the current AI landscape.