Agile Miscellaneous Question Bank 

Q: What is the function or purpose of Management in Scrum?

In Scrum, traditional management roles do not exist. However, management still has a role in enabling and supporting Agile Teams.

Management creates an environment where Scrum Team can thrive by supporting self-management, removing impediments, supporting organizational alignment and fostering continuous improvement culture. For instance;

• Provide trust and autonomy to teams rather than controlling them.

• Ensure Scrum Teams have right Infrastructure, tools, skills and environment to succeed.

• Facilitating collaboration between multiple Scrum Teams in large-scale Agile environments (e.g., SAFe)

• Supporting the team's decision making process instead of micromanaging.

• Setting clear vision and priorities while letting Scrum Teams determine the "how".

• Addressing bureaucratic blockers like lengthy approval processes.

• Encouraging Agile training and competency development.

• Helping Product Owners balance stakeholder demands while maintaining Agile principals.

• Support the Product Owner with insights and information into high value product and system capabilities.

Q: How AI enhances Agile Methodologies?

AI (Artificial Intelligence) and Agile Methodologies are intersecting rapidly with AI enhancing Agile practices  and Agile frameworks improving AI development. Integrating AI into Agile practices enable businesses to navigate complex projects more efficiently and effectively, positioning them for sustained success and growth.

AI can boost productivity and quality by automating routine and mundane tasks, allowing resources to focus on the core aspects of their roles that require human insight, creativity, and specialized skills. By analyzing vast amounts of data, AI can identify patterns and trends that might not be immediately evident. These insights can be leveraged to make informed decisions, optimize workflows, operations and team performance. 

AI can be used to enhance user experience by analyzing user behavior, personalizing content, and optimizing design prototyping and testing. Additionally, AI ability to integrate with data systems has transformed customer experience. 

For instance; AI powered Agile tools such as JIRA, Monday.com, ClickUP etc. are used for backlog management, sprints insights, work predictions and task management.

AI powered Pair Programming like GitHub copilot can help developers write better code.

AI driven Test Automation tools like Selenium AI can help detect software defects faster.

AI powered Code Review & Quality Monitoring tool like SonarQube detects vulnerabilities and suggest improvements.

Q: As Scrum Teams mature, what is expected to happen?

As Scrum Teams mature, they tend to gain a deeper understanding of what it means to deliver high-quality work, and they begin to incorporate more stringent criteria into their Definition of Done. This leads to better quality products, increased stakeholder satisfaction, and improved confidence in the work they produce. Better coding standards and testing practices results in fewer defects and rework. 

Also, the team gets better at estimating work and committing to realistic amount of work, fewer spillovers. Besides this team members collaborate and communicate efficiently and make quick, data driven decisions. Sprint planning and execution become more effective with well defined user stories and acceptance criteria, clearer sprint goals, streamlined and efficient work breakdown and tasking. Furthermore, the team foster continuous improvement culture. Sprint Retrospectives lead to meaningful process improvements and Sprint Reviews receives more constructive feedback.

Q: Which two measures can help a Product Owner evaluate how much impact is being delivered?

Customer Satisfaction and Customer Usage Index are key value measures that provide insights into the product's Current Value. These are components of the Evidence-Based Management (EBM) approach.