The method collection for better decisions

Turns ideas, open questions, and testable next steps into a tangible result by performing empathy-based research, defining the problem, and testing and iterating with users.

Which real user problem is worth solving, and which solution idea survives a test with real users?

Turns domain knowledge, language, and system boundaries into a tangible result by selecting a business flow, collecting domain events chronologically, and deriving models and follow-up questions.

Which business events, triggers, and boundaries shape the flow, and where do friction, risk, or learning needs arise?

Product Backlog, Sprint Goal, Increment, and retrospective loops create a repeatable cadence for complex product work.

Which incrementally deliverable, valuable Sprint Goal will the team pursue in the next 1-4 weeks, and how will it adapt its approach based on sprint results?

Turns observations, needs, and patterns into a tangible result by selecting a journey, mapping phases, and prioritizing opportunities.

How does the selected persona experience the end-to-end journey, where does friction or frustration occur, and what opportunities emerge from these gaps?

Turns customer problems, solution ideas, and evidence into a tangible result by setting outcomes, collecting opportunities, and updating learning status.

Which opportunity should the team address next with which solution, and which experiment provides the next learning signal?

Turns target groups, value, goals, and priorities into a tangible result by collecting initiatives, estimating reach, and calculating scores.

Which initiative delivers the greatest expected outcome per invested effort, and where is estimation uncertainty so high that the order says little?