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Criterion
Paper illustration for Risk Storming.
Architecture
Risk Storming
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Purposedifferent
Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
LowMediumMediumLow
Timedifferent
60-90 min3–4 h for initial assessment; preparation and deeper analysis additional1-5 Tage25-40 min
Participantsdifferent
4-121 or a small team; particularly suitable for 3–4 peopleNutzertraffic1-5
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Annotated Diagram, Prioritized Risk List, Action BacklogLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checksClick Data, Interest Signal, Learning DecisionLearning Card with evidence and next action
Tagsno overlap
RiskArchitectureWorkshopValidation
ArchitectureQualityRiskAssessmentLean
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryLearning
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