Sprint Prioritizer

Score each backlog item with the RICE framework: multiply Reach, Impact, and Confidence, then divide by Effort in person-months. Rank items by score, then commit to stories within your team's capacity-adjusted velocity, keeping a 10-15% buffer for uncertainty.

RICE produces a numeric score from Reach, Impact, Confidence, and Effort, enabling fine-grained ranking of many items. MoSCoW sorts features into Must-have, Should-have, Could-have, and Won't-have buckets, which works better for fast stakeholder alignment than precise ordering.

Calculate a 6-sprint rolling average of completed story points, then adjust for vacations, training, and meeting overhead, typically 15-20%. Stable teams should hold a 10-15% uncertainty buffer and aim for under 15% sprint-to-sprint velocity variation.

Use the Kano Model when you need to classify features by customer satisfaction impact rather than business ROI. It separates Must-Have expectations, Performance features, and Delighters, which helps avoid over-investing in features users are indifferent to.

Define a clear sprint goal with measurable success criteria and a documented definition of done at planning time. Evaluate every change request with an impact analysis on timeline and capacity, and require explicit stakeholder sign-off before adjusting committed scope.