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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 Kano Model with its core stages and visible working result.
Product Discovery
Kano Model
Paper illustration of a JTBD interview notebook with a decision timeline, forces of change and a concise job hypothesis.
Product Discovery
Jobs to Be Done
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
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 features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight.When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought.When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1 Tag bis mehrere Wochen1-2 Tage1-3 Wochen60-120 min
Participantsdifferent
4-1010-505-12 Interviews3-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsKano Matrix, Feature Classes, Priority ThemesJob Stories, Outcome Statements, Opportunity ListOpportunity Score Table, Top Outcomes
Tagsno overlap
InnovationPrototypeResearch
SatisfactionPrioritizationCustomer
CustomerOutcomesNeeds
PrioritizationDiscoveryOutcomesNeeds
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