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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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.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.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.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional4-5 Tage1-4 Wochen1-5 Tage
Participantsdifferent
Designers, developers as users, and facilitation5-83-10 KundenNutzertraffic
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsPrototype, Test Findings, Decision RationaleConcierge Learnings, Service Blueprint, MVP RisksClick Data, Interest Signal, Learning Decision
Tags1 shared
ArchitectureEngineeringFeedbackValidationTasks
Design sprintPrototypeValidationInnovation
MVPValidationServiceDiscovery
ValidationExperimentsDemandDiscovery
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