customer interviews

Facilities manager discussing exterior cleaning challenges and drone service viability before equipment investment
Demand Experiments

Before You Buy the Drone, Find Out If Anyone Actually Wants It

A storage tank that once needed ten days of scaffolding got cleaned in an afternoon by one operator flying a single drone — and that first job turned into a recurring contract worth millions. It’s the kind of story that makes a $75,000 equipment purchase feel less like a gamble and more like a formality. But stories like that are survivors’ tales. They tell you what happens when the market says yes. They tell you almost nothing about how to find out, cheaply, whether your market will say yes too — before you’ve signed a loan for a drone that can double as a down payment on a house.

An AI voice recorder clipped to a phone, illustrating demand validation signals from a real hardware purchase
Demand Experiments

What 200,000 Voice Recorders Can (and Can’t) Tell You About Real Demand

A credit-card-sized gadget that clips onto the back of a phone and quietly records what happens when the screen goes dark has become one of the more talked-about hardware debuts in years. Before treating it as proof that AI hardware is finally having its moment, it’s worth asking a more useful question: what does this story actually demonstrate about how to validate an idea before you spend real money building it?

A startup founder reviewing customer feedback to separate a weak pitch from an idea validation signal
Validation Mistakes

When Your Idea Didn’t Fail — Your Pitch Did

You ran the test. You talked to ten people, put up a landing page, showed a mockup to a potential customer. The reaction was lukewarm — a few nice words, a “maybe later,” a silence you couldn’t quite read. So you conclude the idea isn’t good enough and move on.

A row of chickens in a coop illustrating the super chicken trap and the difference between strong signals and a strong system
Validation Mistakes

The Super-Chicken Trap: Why Strong Signals Don’t Always Mean a Strong System

A founder recently told me their beta users “loved” the product — glowing comments, five-star reactions, one enthusiastic superfan who wouldn’t stop talking about it. Six months later, almost none of those people paid for it. Nothing about the individual signals was fake. The mistake was assuming that a handful of strong local signals summed up to a strong global truth. That gap — between what looks like proof and what actually is proof — is where most validation goes wrong, and a decades-old chicken experiment explains why better than most startup advice does.

Founder reviewing customer interview notes and market signals as part of a demand validation process
Demand Experiments

The Curiosity Test: Why Founders Should Interrogate Demand Before They Chase Capital

Every founder eventually hears some version of the same pitch: investors back people, not ideas. Charisma, ambition, an origin story about noticing what everyone else missed — these are the ingredients of a good fundraising conversation. But there is a quieter, less flattering question that determines whether any of that matters: does anyone actually want what you are building badly enough to change their behavior for it? That question cannot be answered by telling a good story. It can only be answered by testing one.

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