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Criterion
Paper illustration of Five-Minute VC Check with its method-specific working model.
Business Strategy
5-Minuten VC-Check
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Purposedifferent
The 5-Minute VC Check clarifies opportunities and strategic options at the earliest idea stage. It compares problem quality, customer willingness to pay, alternatives, differentiation, and market potential, and captures the result as a VC-check note, go/sharpen/park decision, and risk list.When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
LowMediumMediumLow
Timedifferent
5-15 min1-4 Wochen2–4 h review as a planning range; preparation and evaluation additional25-40 min
Participantsdifferent
1-53-10 KundenDesigners, developers as users, and facilitation1-5
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
VC-check note, Go/sharpen/park decision, Risk and assumption list, Next validation stepConcierge Learnings, Service Blueprint, MVP RisksPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsLearning Card with evidence and next action
Tags1 shared
StartupValidationCompetition
MVPValidationServiceDiscovery
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryLearning
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