The common advice to conduct unbiased discovery interviews sounds logical but often fails. The truest way to validate an idea and understand customer needs is through the act of selling. This forces a concrete value exchange and reveals genuine demand in a way that hypothetical conversations cannot.

Customers, like founders, have a gap between their stated beliefs and actual behaviors. Instead of relying on discovery interviews, watch them work. Observing their actions reveals their true operating philosophy—what they genuinely value—which is a more reliable guide for product development than what they say.

Standard "discovery interviews" are often a form of "playing founder." It's arrogant to believe a few 30-minute conversations can yield the deep insights needed to build a game-changing product. True understanding comes from immersing yourself in the customer's work, not just casually interviewing them.

Customers describe an idealized version of their world in interviews. To understand their true problems and workflows, you must be physically present. This uncovers the crucial gap between their perception and day-to-day reality.

True product intuition isn't just from standard discovery calls. It's forged by directly engaging with customers' most urgent problems on escalation calls. This unfiltered feedback provides conviction and data-backed confidence for decision-making.

To truly understand customers, go to their natural environment—their home or shop. Observing their context reveals far more than sterile office interviews. This practice, internally branded "Listen or Die," ensures the entire team stays connected to the user's reality.

While AI efficiently transcribes user interviews, true customer insight comes from ethnographic research—observing users in their natural environment. What people say is often different from their actual behavior. Don't let AI tools create a false sense of understanding that replaces direct observation.

Directly asking customers for solutions yields generic answers your competitors also hear. The goal is to uncover their underlying problems, which is your job to solve, not theirs to articulate. This approach leads to unique insights and avoids creating 'me-too' products.

The most reliable customer insights will soon come from interviewing AI models trained on vast customer datasets. This is because AI can synthesize collective knowledge, while individual customers are often poor at articulating their true needs or answering questions effectively.