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Criterion
Paper illustration for Solution Interview
Product Discovery
Solution Interview
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
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
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Purposedifferent
When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.
Complexitydifferent
MediumMediumHighHigh
Timedifferent
30-60 min je InterviewWochen bis Monate je Lernzyklus1 Tag bis mehrere WochenMehrere Wochen
Participantsdifferent
5-10 Interviews2-84-102-6 researchers plus sample
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Solution Feedback, Objection List, Validation NotesHypothesis list, MVPs, Learning reports, Pivot or persevere decisionProblem Statement, Prototype, Test LearningsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses
Tagsno overlap
ValidationInterviewsPrototype
LeanStartupValidationMVP
InnovationPrototypeResearch
OutcomesInnovationResearchQuantitative
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