One of the most important parts of a ScrumMaster’s role is to remove barriers. Data analysis and root cause analysis methods, should be a powerful tools in the ScrumMaster’s arsenal. Unfortunately, with all the blogs, articles, books, lectures and tweets on Scrum best practices, there are very few on utilizing these methods for solving barriers within a Scrum deployment and even fewer practitioners, often resulting in symptoms, not the underlying root causes being attacked.
This interactive and activity-based course looks at teaching any Scrum practitioner, especially ScrumMasters an effective, new way to identify, find the root causes of and solve some of the hardest issues. Participants will be taught how to separate easy-to-solve problems from symptoms, create and prove hypotheses, employ root-cause analysis methods to find hidden root causes of the barriers, issues or gap. The course includes instructor experiences, case studies, and several in-class exercises that enable participants to build knowledge and skills through active participation instead of simply lectures.
Topics:
- Introduction to data analysis
- Why use data and analytical methods?
- Where are analytical methods applicable in your role?
- Defining the barrier, issue or problem
- Understanding the problem
- Process maps
- Value-stream maps
- Spaghetti diagrams
- Y-to-x flow-down diagrams
- Fishbone diagrams
- Measuring and understanding the problem
- Types of data
- Summary statistics
- Validating data collection
- Distributions of data
- Understanding the root causes
- Generating hypotheses
- 5 Whys
- Graphical displays
- Time based analysis
- Run and median charts
- Introduction to control charts
- Relational issues
- Continuous improvement
Anyone
