Predictability vs. Outcomes: What Are We Actually Predicting?

What good is predictable software delivery if the features we ship fail to deliver meaningful business value? In this episode, the AI hosts explore why organizations have become increasingly effective at forecasting delivery while paying far less attention to predicting and validating business outcomes.They examine how product discovery, evidence-based assumptions, and confidence levels can improve investment decisions before development begins. Just as engineering is accountable for delivery confidence, product and business leaders must establish anticipated outcomes, measure actual results, and learn from the differences. Ultimately, predictability must be a two-way street, connecting what teams deliver with the value their work creates.Link to the article: Predictability vs. Outcomes: What Are We Actually Predicting?, originally published October 14, 2026.Connect with me on LinkedIn