Complexity & Empiricism
- How did traditional approaches to software development operate before the rise of Scrum & Agile methodologies?
- What are the characteristics of complexity in software development projects?
- Why are predictive approaches not suitable for complex work?
- What is empiricism, and how do Agile teams use it to manage work?
- How does Scrum utilise the empirical approach to maximise value delivery?
- Why is it essential to adapt plans and improve them over time in Scrum?
- How does gaining experience contribute to making accurate predictions in Scrum?
- What is the primary objective of Scrum in managing complex work?
- How do small, self-managing, cross-functional teams contribute to Scrum’s success?
- What role does transparency play in Scrum’s empirical approach?
- How does using Scrum simplify complex product development?