A prototype is not a miniature product. It is a decision tool — something you build specifically so an assumption you cannot see stops being invisible. The moment a user fumbles with a control, hesitates before confirming an action, or simply cannot find the thing you assumed was obvious, the assumption becomes a fact you can act on. The hard part isn’t building that moment. It’s knowing what to do the morning after.
A test just wrapped. The numbers are in front of the team, someone opens with “well, this basically confirms what we thought,” and within ten minutes the meeting has quietly turned into a defense of the idea everyone liked before the test even started. Nobody voted for that outcome. It just happened — because the human brain is built to skip the hard part of deciding and go straight to the comfortable part of agreeing.
Every founder eventually hits the same wall: too many signals, too little certainty, and a backlog full of ideas that all sound plausible. The instinct is to ask “what should we build next?” But there’s a sharper question hiding underneath it — one that Columbia Business School strategist Rita McGrath puts to CEOs before they touch a roadmap at all: what is this company actually centered on?
A founder runs a two-week test on a new onboarding flow. The numbers come back mixed — engagement up slightly, but a handful of users seem confused. In the debrief, one product manager wants to ship it. Another has doubts but says nothing, because the last time she pushed back, the conversation got tense and nothing changed anyway. The team ships. Three months later, they’re trying to figure out why adoption stalled — and nobody remembers that someone already saw it coming.
Picture a hundred hedge fund analysts opening the same news alert at the same moment, running it through the same kind of AI model, and reaching the same trade idea within minutes. Nobody cheated. Nobody colluded. Each analyst simply used a smart tool the way it was designed to be used. And yet the market that emerges from that scene is not smarter than the one it replaced — it is more crowded, more fragile, and, in a strange way, easier to fool.
A founder stares at a dashboard showing decent signup numbers and a shrug of engagement. Nobody on the team says the sentence that matters: “I think we’re solving a problem people don’t actually have.” Not because they’re incompetent. Because saying it out loud feels risky, and the meeting moves on to the next slide instead.
