Jeffrey Yeager

Throughout this five-part series, we’ve watched our fictional cleaning robot manufacturer, Garry’s Robots Ltd., transform their chaotic product development process by implementing a standardized prioritization framework. After establishing a data foundation, creating scoring structures, and securing organization-wide buy-in, they’re ready for the final critical phase: making their new prioritization approach sustainable. Even well-designed frameworks can…

Even the most data-driven prioritization framework is worthless if your organization doesn’t use it. While executives typically understand the need for better prioritization, resistance often stems from organizational complexity and competing departmental interests. This fourth installment in our five-part series on standardizing new product development prioritization builds on our previous discussions of data foundations and…

Data without analysis is like a map without a route—informative, but not actionable. To set priorities and move with confidence, organizations need a structured way to evaluate, compare, and approve projects. Welcome to the third installment in our five-part series on standardized prioritization. Previously, we introduced the benefits of a structured prioritization framework and how…

Organizations with effective data-driven prioritization are 2.5 times more likely to be high performers in their industry, yet companies typically use only 50% of available data when making decisions. This second post in our five-part series focuses on the foundational element of our prioritization framework: data. Building on our introduction to Garry’s Robots Ltd. and…