How to Build a Strong and Sustainable Prioritization Practice

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…

How to Get Buy-In On Standardizing New Product Prioritization

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…

How to Quantify and Score New Product Development Projects

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…

From Busywork to Business Impact: How to Prioritize What Matters

Digital product teams face constant pressure to innovate quickly and collaborate across functions, but growing complexity in tools and workflows often slows them down. Instead of accelerating delivery, disconnected systems and competing demands create friction that diverts focus from high-impact work. Valuable time is spent chasing updates, managing tools, and working across silos. This leaves…

Reliable Data: The Foundation of Your New Product Development Prioritization Framework

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…

Manage Risks, But Don’t Eliminate Them

When companies value stability over innovation, some risks increase: they risk slowly losing market share and fading into the background of their industry. So what do we do? The solution lies in the understanding that effective R&D governance cannot, and should not, distill projects into a single number. Here are five ways to assess and communicate risk in your portfolio.

Using Data Analytics to Navigate Tariff Impacts on Your Product Portfolio

Some uncertainty is inevitable for product-driven organizations. To mitigate risk and maximize value, most organizations perform a comprehensive impact analysis before making any investment decisions. However, some impacts are easier to estimate than others. Microeconomic industry changes, such as demand fluctuations or predictable innovations, are relatively straightforward – for example, automotive organizations can anticipate electric…