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Criterion
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitysame
HighHighHighHigh
Timedifferent
1 Tag bis mehrere Wochen4-5 Tage2-6 h2-6 h
Participantsdifferent
4-105-83-103-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Problem Statement, Prototype, Test LearningsPrototype, Test Findings, Decision RationaleEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
InnovationPrototypeResearch
Design sprintPrototypeValidationInnovation
CausalityIncidentRoot causeTimeline
Systems thinkingRoot causeConstraintsCausality
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