Drunk Agile Episode 70 - Variability
8 snips
Jul 10, 2023 A 3-part series on variability is introduced in Episode 70 of Drunk Agile. The hosts discuss the importance of variation in data and its relationship to flow. They explore the impact of variation on measurements, estimation, and task management in knowledge work. The concept of acceptable levels of variability is mentioned, as well as the existence of two mistakes related to variability. The hosts promise to delve deeper into the topic in future episodes.
AI Snips
Chapters
Transcript
Episode notes
Variation in Data
- The hosts introduce the concept of variation in data, focusing on why it matters in agile development.
- They emphasize that understanding variation is crucial for comprehending flow.
Understanding Variation
- Prateek explains variation as the natural differences that occur when measuring or estimating something.
- These differences mean measurements won't be exactly the same every time.
Variation Example: Drive Time
- Prateek gives an example of variation: driving from point A to point B.
- The time taken isn't always identical; sometimes, it's longer, sometimes shorter.