Product Feature Backlog Grooming Process

Начало на работния поток/процеса.

Retrieve all entries from the 'Product Backlog' data model where status is 'New' or 'Unrefined'.

Retrieve upcoming milestones from the 'Roadmap' data model to align grooming with high-level goals.

Get current developer availability and sprint velocity from the 'Resource' data model.

Apply a formula (e.g., Impact * Confidence / Effort) to determine the relative priority of the feature.

Create a task for the Product Owner to review and add acceptance criteria to the selected backlog items.

Update the status of the selected backlog entries to 'In Refinement' to prevent duplicate work.

Create a task for the Engineering Lead if a feature requires technical investigation/research.

Retrieve the completed notes and complexity estimates from the 'Spike Results' data model.

Update the 'Effort/Story Points' field in the Backlog data model based on the outcome of the grooming session.

Sum the 'Story Points' of all items currently in the 'Ready for Sprint' status to check against capacity.

Create a new entry in the 'Sprint Ready' data model for features that have passed all grooming criteria.

Update the 'Definition of Ready' checkbox and 'Acceptance Criteria' text field in the backlog entry.

Send an email to the Stakeholder list with a summary of the newly refined features and their priorities.

Generate a report showing the change in backlog health, total points refined, and upcoming high-priority items.

Delete or move to 'Archive' any backlog entries that were identified as redundant during the grooming process.

Край на работния поток/процеса.