What are the best practices for backlog refinement?
An example of an AI chatbot conversation about backlog refinement best practices.
What are the best practices for backlog refinement?
Backlog refinement, or grooming, is essential for maintaining a healthy product backlog. Best practices include regularly scheduled sessions, involving the right stakeholders, prioritizing items based on value, and ensuring clear acceptance criteria.
How often should we conduct backlog refinement sessions?
It's recommended to conduct backlog refinement sessions at least once per sprint, but the frequency can vary based on team needs and backlog size.
Who should be involved in these sessions?
Key participants should include the product owner, relevant stakeholders, and the development team to ensure all perspectives are considered.
What tools can help with backlog refinement?
Tools like Jira, Trello, and Asana can help manage and visualize the backlog, making it easier to prioritize and refine items.
Can you give me an example of a good backlog item?
A good backlog item should be specific, actionable, and include acceptance criteria. For example, 'As a user, I want to reset my password so that I can regain access to my account.'
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