Guide to Metrics and Analytics in Kanban
Why it is Important:
Metrics and analytics in Kanban are essential for assessing the efficiency of a kanban system. They allow teams to track progress, spot issues early, gauge performance and adapt strategies as needed.
What it is:
Metrics and analytics in Kanban refer to the data and statistical analysis that measure the effectiveness of the Kanban process. The most common Kanban metrics include lead and cycle time, WIP (Work In Progress), throughput, and Cumulative Flow Diagram.
How it Works:
Metrics and analytics in Kanban work by collecting data from various areas of the project workflow, including work completed, work in progress, bottlenecks and idle times. These are then analyzed to provide insights that can lead to improved productivity and efficiency.
How to Answer Questions During an Exam:
Answering questions on metrics and analytics can be challenging, as it requires understanding and application of Kanban principles. Ensure you understand the key metrics used in Kanban. Be able to explain how to calculate them and their importance in analyzing and improving project performance.
Exam Tips - Answering Questions on Metrics and Analytics:
- Understand the Concept: Make sure you have a solid understanding of the fundamental concepts of metrics and analytics in Kanban before the exam.
- Practice Questions: Practice answering questions on the topic. This will help you understand the kind of questions you may expect and how to approach them.
- Real-world Application: Try to relate the concepts to real-world examples. This will make your answers more tangible and relevant.