Beyond Estimates: Data-Driven Forecasting for Reliable Delivery

Traditional software estimates fail because complexity is inherent and contexts constantly change. This approach abandons time prediction in favor of measuring team velocity and using Bayesian statistics to converge on realistic delivery timelines. Organizations gain credibility by committing to evidence-based probability ranges rather than optimistic promises.