prioritization

To prioritize a product backlog, you score items using RICE and align them with MoSCoW categories. This separates opportunities from solutions, generating potential solutions per opportunity to produce a clear, actionable recommendation.

An Opportunity Solution Tree is a visualization that maps dependencies and trade-offs between opportunities and solutions. You need it for roadmapping when you want to structure multi-opportunity analyses and clearly identify risky assumptions before sequencing features.

Yes, you can rank user stories and initiatives across multiple opportunities. The prioritization workflow applies structured scoring to backlog grooming, evaluating features and ideas to sequence them effectively on a product roadmap.

The best way to separate opportunities from solutions is to define the desired outcome first, then generate two to three potential solutions per opportunity. This prevents premature commitment to a single feature during backlog grooming.

You identify risky assumptions by evaluating gaps within your prioritized feature set. Applying RICE scoring and MoSCoW alignment during backlog grooming highlights trade-offs and exposes assumptions that need validation before building.