"Most founders and teams struggle with those questions, not because they lack conviction, but because they test that conviction too late. Resources get committed before customer needs are validated. Confirmation bias filters what gets heard. They often fall in love with solutions before fully understanding the problems they need to solve. AI-accelerated development affects everyone - from solo founders building alone to small startup teams to larger software organizations at scaleups and enterprises. Whether you're a team of one or one hundred, the challenge is the same: deciding what deserves to exist."
"The CHAOS Report (Standish Group, 2020) indicates that more than two-thirds of software projects fail to meet their intended outcomes. While execution failures play a role, the problems often begin earlier - in the discovery phase. A focus on delivery velocity has replaced the judgment time needed to uncover what truly matters. Co-Invention: Redesigning Discovery I had spent six weeks conducting discovery and design on an AI-powered toolkit to accelerate product discovery when I came across Ajay Agrawal's YouTube interview, " The AI Economist: The Skill You Need to Stay Employed in the Age of AI""
Rapid prototyping and AI-accelerated development make building prototypes fast, shifting the critical decision from can it be built to should it be built and what to build. Many founders and teams validate conviction too late, committing resources before customer needs are confirmed. Confirmation bias and premature attachment to solutions undermine effective discovery. This dynamic affects solo founders through large enterprises, increasing pressure to choose what deserves to exist. High project failure rates often stem from poor discovery. Prioritizing delivery velocity over judgment time prevents uncovering the problems that truly matter.
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