Estimating Complexity
Jason highlights the importance of using modified Fibonacci sequences for estimating task complexity, emphasizing that larger tasks often carry more uncertainty. Samuel adds that planning in shorter intervals can lead to greater certainty, aligning with agile principles that advocate for short cycles to enhance predictability in project management.In this clip
From this podcast
Software Engineering Radio - the podcast for professional software developers
SE Radio 599: Jason C. McDonald on Quantified Tasks
Related Questions
Why do things take so much more time than expected, especially as a developer, as discussed in the episode The Pragmatic Programmer - How to Estimate and the clip Estimating Long Term Projects?
How do you break tasks into smaller steps?
Why do tasks take so much more time than expected, especially for developers, in the episode SE Radio 599: Jason C. McDonald on Quantified Tasks and the clip Measuring Development Effort?