Control Chart in Jira

In this insightful video, the presenter takes us through an in-depth exploration of control charts within Jira, highlighting its importance, especially in Kanban mode. The video aims to equip viewers with the knowledge to predict cycle time and lead time, and to analyze trends in cycle times and lead times. Here's a summary of what you'll discover:

Introduction to Control Charts:

Explanation of control charts, focusing on predicting cycle time and lead time.
Importance in Kanban mode, retrospective, and problem analysis.
Navigating Jira's Control Chart Interface:

Transition from the Kanban board to the control chart report.
Overview of cumulative flow diagrams and control charts, the default reports in Jira's Kanban projects.
Introduction to reading control charts with helpful tool tips.
Understanding Key Components of Control Charts:

Issue representation with small and big dots.
Understanding the average line, below-average items, maximum time, and median.
Clusters of issues and average cycle time.
Understanding Rolling Averages and Standard Deviation:

Explanation of rolling averages and how they fluctuate.
Importance of narrowing standard deviation for better predictability.
Filtering and Customizing Control Charts:

Using quick filters to segment and categorize data.
Applying specific filters such as team filters to get more refined information.
Including/excluding non-working days in calculations.
Analyzing Cycle Time and Lead Time:

Breakdown of individual columns like development, test, and in-progress stages.
Difference between cycle time (time within a specific stage) and lead time (total time from backlog to done).
Conversion between cycle time and lead time based on selected columns.
Digging Deeper into Individual Issues:

Ability to click on specific issues for more detailed information.
Viewing and understanding the full history of an issue.
Practical Applications of Control Charts:

How to play with quick filters, get outliers, and analyze trends.
Using historical data for Service Level Agreement (SLA) determination.
Importance in providing productivity estimation and internal expectation management.
Problem solving and diagnosis using cycle time and lead time data.
Closing Remarks:

Encouragement to comment or ask questions.
The importance of data segmentation and analysis of outliers.
Summary of how control charts are utilized for better workflow management, estimation, and trend analysis.

This video provides a thorough and detailed guide on understanding and using Jira's control charts for Kanban projects. It is ideal for anyone working in project management, especially those who are involved in Agile methodologies, looking to optimize their workflow and gain a deeper insight into their team's performance.

#Jira #projectmanagement #Agile #Scrummaster