Before the widespread adoption of Scrum and Agile methodologies, traditional software development relied heavily on a predictive method. This approach was grounded in the belief that work could be effectively planned and controlled. The predictive method assumed that all requirements could be fully defined upfront, allowing for an accurate and linear Project plan.
However, this assumption often proved faulty, especially in complex environments typical of software development. The inherent unpredictability and the presence of multiple interdependent variables in software projects meant that planning and executing in a linear, sequential manner was rarely effective. The predictive method often led to overruns in plans and budgets, declining quality under pressure, and unmet expectations, ultimately resulting in a loss of trust, financial setbacks, and damaged relationships.
