Evidence-Guided

**Author:** Itamar Gilad

**Estimated Reading Time:** 45 minutes

**What You'll Learn:** - Why most product ideas fail and how to stop betting on opinions - The GIST framework for connecting strategy to daily work - How to evaluate ideas objectively using the ICE scoring system - Practical validation techniques that reduce risk and waste - How to scale evidence-guided practices across any organization

**Who This Book Is For:** Product managers, founders, team leads, and anyone involved in deciding what to build next. If you have ever watched a feature launch to silence, seen months of work produce zero impact, or felt trapped in a cycle of opinion-driven decision making, this book offers a way out.

Every year, companies around the world spend billions of dollars building products that nobody wants. The features ship. The code works. The marketing campaigns launch. And then nothing happens. Users do not show up. Revenue does not move. The product sits there, fully functional and completely irrelevant. This is not a rare failure. It is the default outcome. Studies consistently show that the majority of product ideas fail to produce meaningful results. Depending on the research you consult, the failure rate for new features and products ranges from 60 to 90 percent. For every successful product launch, there are dozens of quiet disappointments, features that get built and forgotten, initiatives that consume months of effort and produce nothing measurable. The strange part is that most of these failures were predictable. Not in the sense that anyone could have known exactly what would happen, but in the sense that the warning signs were there all along. The assumptions were shaky. The evidence was thin. The confidence was high, but the information was weak. Why does this keep happening? The answer lies in how most organizations make product decisions. They rely on opinions. The highest-paid person in the room states a preference. A charismatic stakeholder argues passionately for a feature. A competitor launches something and everyone feels pressure to respond. A customer asks for something and the request gets treated as a mandate. These inputs are not worthless, but they are dangerously incomplete. Human judgment is remarkable. It allows us to navigate complexity, make quick decisions, and draw on years of accumulated experience. But human judgment is also systematically flawed, especially when applied to complex, uncertain situations. We are overconfident. We anchor on the first idea that sounds good. We fall in love with our own solutions. We confuse enthusiasm with evidence. The traditional alternative to opinion-driven development has been data-driven development. This approach promises objectivity. Instead of arguing about what to build, we look at the numbers. The data will tell us what to do. But…